KR20140022740A - Electronic book system, apparatus for generating and searching for electronic book and method thereof - Google Patents

Abstract

According to an embodiment of the present invention, electronic book data including a group formed by clustering objects based on an object included in an electronic document and a coordinate value of the object is generated. The generated electronic book data is loaded into a search engine and a database management system (DBMS). The user can perform the body search of the electronic book data and the search of the bibliographic information such as the commercial transaction details in cooperation with the search engine and the database management system.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an electronic book system,

The present invention relates to an apparatus and method for generating, storing and retrieving electronic book data.

Electronic books and electronic documents can generally be entered directly into search engines. However, the layout of e-books or electronic documents that can be directly input to the search engine is just a short document. That is, e-books and electronic documents with a very complicated layout such as a multi-tiered layout or a newspaper can not be immediately loaded into a search engine. This is because it is not yet possible to accurately analyze the order of each stage or paragraph, which can accurately read e-books or electronic documents with complex layouts, using computer algorithms alone.

In addition, contents such as tables, figures, formulas, and formulas can not be retrieved in a search engine interfaced with the conventional electronic book system. Generally, it is convenient to express all these objects in a picture to express such objects in an e-book. However, the objects represented by the picture were not searchable because the text does not exist.

In addition, in the conventional electronic book system, it is possible to perform a text search for all e-books existing in an e-book store directly sold to consumers. However, only e-books belonging to a specific e-book library may be targeted, It is not possible to search for texts only for e-books that have already been purchased and owned.

It is an object of the present invention to solve the problems of the conventional electronic book system described above.

That is, an electronic book system or electronic document having a complicated layout can be searched in a search engine.

It also provides an e-book system in which formulas, formulas, or pictures in an e-book can be searched.

In addition, it provides an e-book system that can search personal purchase / loan histories and preferences / trends in addition to general text search.

The present invention generates an electronic book or electronic document having a complicated layout as data of a form that can be loaded in a search engine.

Data of a form that can be loaded into a search engine forms one or more pages of a book.

The type of data that can be loaded into the search engine may include a text object that is text describing the picture for the picture object.

The type of data that can be loaded into the search engine may include hidden groups that are displayed on the screen but are ignored when searching in the search engine.

The electronic book system of the present invention may include a database management system (DBMS: DataBase Management System) that stores personal purchase / loan histories and preferences / trends together with a search engine capable of body search.

The search engine and the DBMS can interoperate through the unique number of the eBook (for example, a GUID such as DC32CC1FD0604859A96CCB103E2F7C1C, 1F6CB702AFFE4bdfB130937D90C51F59, etc.).

In one embodiment, the smallest unit of eBook data is an object. Objects are divided into three types according to their attributes. "Text", "Picture", "Table Text" respectively. Other attributes of these objects are coordinate values that indicate the position and size of the monitor screen.

In one embodiment, objects gather to form a line. The lines are gathered to form a group. Groups gather to form a page. Pages gather to form a book. For example, if the letter "a" appears on the screen, the information related to this letter is organized as follows: [Page: 10] -> [Group: 2] -> [Line: 3] -> 4, object property 1 (kind): text, object property 2 (code value): 'a' = AC00, object attribute 3 (Bold): No, ): Yes, object property 6 (font size): 12, object property 7 (Width): 32, object property 8 (Height): 36, object property 9 (upper left coordinate value): (59, 60)]. "Picture" is likewise expressed.

In one embodiment, the "table text" is not displayed on the screen, but is associated with the picture displayed on the screen. Therefore, when a picture is searched and a text describing the picture is input as a keyword, the "table text" associated with the picture can be searched.

In one embodiment, the e-book data may further include information about important surges of an e-book or electronic document. In addition, the e-book data may further include a unique number capable of distinguishing the corresponding e-book.

In one embodiment, the e-book system stores the bibliographic information of the e-book and the buyer (person, library) and loan information (borrower and loan period) of the e-book or electronic document in question, along with a search engine that searches the body of the e- And a DBMS for storing the DBMS. In one embodiment, the search engine and the DBMS may interoperate through unique numbers included in the e-book data.

According to an embodiment of the present invention, an electronic document may generate electronic book data having an organized structure of objects, lines, groups, and pages.

According to an embodiment of the present invention, by generating e-book data, an e-book including a complicated layout that is not possible in an electronic document such as a PDF, for example, an e-book having a very complicated layout such as a newspaper can be input into a search engine. have.

According to an embodiment of the present invention, texts including various expressions such as formulas and chemical formulas, which were impossible in the conventional electronic book system (for example, composed of PDF or ePub), and even pictures can be retrieved through a search engine Do.

According to an embodiment of the present invention, not only text search for all e-books existing in e-book stores directly sold to consumers but also search for limiting e-books belonging to a specific e-book library Do.

According to an embodiment of the present invention, it is also possible to perform a text search on only e-books that each individual has already purchased and owned, or e-books that are borrowed and used by each individual.

According to an embodiment of the present invention, a result of a text search limited in the entire library or personalization area can be re-filtered by combining it with various sales statistics, usage statistics, or bibliographic information.

1 is a configuration diagram of an electronic book providing and searching system according to an embodiment of the present invention;
2 is a configuration diagram of an electronic book searching apparatus according to an embodiment of the present invention;
3 is a detailed block diagram of an electronic book data configuration unit according to an embodiment of the present invention;
4 is an example of a group that constitutes a page of electronic book data according to an embodiment of the present invention;
5 is another example of a group constituting a page of electronic book data according to an embodiment of the present invention.
6 is a flow diagram of a method for forming an internal text area of electronic book data in accordance with an embodiment of the present invention.
7 is a flow diagram of a method for retrieving e-book data in accordance with an embodiment of the present invention.

1 is a configuration diagram of an electronic book providing and searching system according to an embodiment of the present invention. In one embodiment, the eBook provisioning and retrieval system 100 includes an e-book retrieval device 110 that performs retrieval of an e-book in conjunction with the search engine 130 and the DBMS 140 via the network 190 can do. In one embodiment, the network 190 may include both wired communication media such as a LAN or WAN and wireless communication media such as Wi-Fi, mobile communication systems, and the like.

In one embodiment, the search engine 130 may be configured to receive a word for body search to perform a body search of the e-book. In one embodiment, the DBMS 140 may store an individual's loan history, purchase history or area of interest, and may search for bibliographic information, for example, using a word for non-text search as a keyword in such a personalization area.

1, a user may access the e-book search device 110 via a mobile communication device 152, such as a cell phone, smartphone or tablet PC, a notebook 154, a PC 156 or other network 190. [ The electronic book data can be retrieved using any computing device capable of accessing the electronic book data.

In one embodiment, the user may define a search range only for his loan, purchase, or interest (personalization area). In this case, the e-book search apparatus 110 may first perform a search in the DBMS 140, and then operate to perform an affirmative check with the search engine 130 for the resulting e-book.

In one embodiment, the user can perform searches across eBook libraries (non-personalized areas) without limiting the search scope. In this case, the e-book search apparatus 110 performs a search in the search engine 130, and then confirms the obtained e-book in the DBMS 140 again to retrieve a high relevance result.

According to one embodiment, a user may enter a keyword through the eBook provision and search system 100 to perform a text search and obtain the results. The search engine 130 can search the body of the electronic book data stored therein based on the keyword input of the user and output the result.

However, the search engine 130 has a problem that bibliographic information of the electronic book and information other than the main text (for example, information related to commercial transactions of the electronic book) are not stored. In contrast, the DBMS 140 does not store all contents of the contents of the e-book, but can store information such as commerce related to the e-book. For example, the DBMS 140 may determine whether a particular e-book is available for sale to individual customers, whether it is available for delivery to a library, what the sales volume is, what individual customer has made a purchase, Information, that is, information that is not stored in the search engine 130.

According to the embodiment of the present invention, it is possible to solve the inconvenience that the text search and the bibliographic search of the conventional electronic book can not be interlocked with each other, and the bibliographic search and the text search can be integrated into one.

For example, according to one embodiment of the present invention, not only the body search is supported in an online store that sells e-books to each individual via the search engine 130, (For example, literary, practical, linguistic, etc.) and narrows down the search range. In addition, the search result is searched again in the order of the sales volume based on the sales history for the past, It can be done.

For example, according to an embodiment of the present invention, a text search can be performed through the search engine 130 after limiting to an e-book delivered for each library through the DBMS 140. The retrieval result of the search engine 130 is narrowed down to the search result by classification (for example, literature, practical, linguistic, etc.) in cooperation with the DBMS 140, and furthermore, It is also possible to sort out the result of the text search in order of frequency.

For example, according to one embodiment of the present invention, the DBMS 140 can limit the e-books purchased by the individual users to perform a text search through the search engine 130. The search range of the search engine 130 is narrowed down to a classification result (for example, literary, practical, linguistic, etc.) in cooperation with the DBMS 140 in addition to the search result of the search engine 130. In addition, You can filter out the body search results.

For example, according to an exemplary embodiment of the present invention, the DBMS 140 may limit the e-books borrowed by the individual DBs 140 to perform a text search through the search engine 130. The search range of the search result of the search engine 130 is narrowed down to the classification result (for example, literary, practical, linguistic, etc.) in cooperation with the DBMS 140 in addition to the search result of the search engine 130, You can filter out the body search results.

2 is a configuration diagram of an electronic book searching apparatus according to an embodiment of the present invention. In one embodiment, the electronic book searching apparatus 110 may include an electronic book data forming unit 210 that receives electronic documents and constructs electronic book data.

In one embodiment, the electronic book data construction unit 210 can receive an electronic document including, for example, a word file doc, a power point document (ppt) or a pdf file. In one embodiment, the electronic book data construction unit 210 includes an internal text area to be viewed by the user from the input electronic document, bibliographic information indicating the basics of the electronic book data, and a unique number identifying the electronic book data Electronic book data can be generated.

In one embodiment, the e-book search apparatus 110 includes a server-side component 220 that receives e-book data from the e-book data organization unit 210 and records the corresponding data in the search engine 130 and the DBMS 140, As shown in FIG.

In one embodiment, the server-side component 220 may include a data analysis unit 221 for analyzing the structure of the electronic book data and storing the internal text area and the bibliographic information unique number in separate files.

In one embodiment, the data analysis unit 221 may store the internal text area, the bibliographic information, and the unique number based on the file format used in the search engine 130 or the DBMS 140. For example, when the search engine 130 or the DBMS 140 can receive an XML file, the data analysis unit 221 may store the internal text area, the bibliographic information, and the unique number as an XML file. In one embodiment, the data analyzer 221 can record the unique number together with the internal text area and the bibliographic information without separating them into separate files.

In one embodiment, the server-side component 220 registers the internal text area and the unique number of the electronic book data stored by the data analysis unit 221 in the search engine 130, and transmits the bibliographic information and the unique number to the DBMS 140 (Not shown). In this embodiment, since the search engine 130 and the DBMS 140 share a unique number, mutual information exchange is possible.

In one embodiment, the data loading unit 222 may further record the bibliographic information in the search engine 130. In one embodiment, the data loading unit 222 may store the corresponding contents of the bibliographic information in each item of the predetermined schema table of the DBMS 140.

2, the e-book search apparatus 110 further includes an e-book search unit 240 that receives a keyword from a user and performs a search in cooperation with the search engine 130 and the DBMS 140 .

In one embodiment, the electronic book search unit 240 may receive a search range and a keyword indicating whether the user is a personalized region or a non-personalized region. In this embodiment, the personalization area may include the history of books borrowed from the library and books of each person purchased. In this embodiment, the non-personalized area may include a bookstore where each individual can purchase an e-book and books owned by each e-book library. In one embodiment, the keyword may include a word for body search or a word for non-body search.

In one embodiment, if the search range is a personalization area, the e-book search unit 240 performs a search in the DBMS 140 using a word for non-text search, extracts the unique number of the extracted e- A search word may be input to the search engine 130 to extract the unique number of the electronic book.

In this embodiment, the e-book retrieving unit 240 retrieves a unique number of a selected e-book and a word for body search based on an input indicating an additional instruction of the user, for example, It is possible to extract page-by-page search results of the electronic book by inputting the search result into the search engine 130.

In one embodiment, when the search range is a non-personalized area, the e-book search unit 240 performs a search in the search engine 130 using a word for body search, A word for non-text search can be input to the DBMS 140 to extract the unique number of the e-book satisfying the text and bibliographic information.

In this embodiment, the electronic book searching unit 240 may divide the electronic books extracted from the search engine 130 into a set having a predetermined size, and sequentially search the DBMS 140 for each set. For example, if the predetermined size is 100 and the number of e-books extracted as a result of the search engine 130 is 952, the search result may be divided into 10 sets. The tenth set contains the unique number of 52 e-books. In this embodiment, the DBMS 140 search uses words for non-text search.

In this way, the search result of the search engine 130 can be divided into a set, and the DBMS 140 can search the bibliographic information to provide quick search to the user. In one embodiment, the search engine 130 may be configured to output the results in the order most relevant to the entered text search words. In this case, when the search results of the search engine 130 are divided into a set and the bibliographic information is searched in the DBMS 140 in order, the result of outputting in descending order of relevance can be obtained.

In the search of the non-personalized area, as in the search of the personalized area, the e-book searching unit 240 searches for the selected personalized area based on the input of the user's additional instruction, for example, A search result for each page of the electronic book can be extracted by inputting the unique number of the electronic book and the word for body search into the search engine 130. [

3 is a detailed block diagram of an electronic book data configuration unit according to an embodiment of the present invention. The electronic book data construction unit 210 may include an internal text area construction unit 301, a bibliographic information input unit 302 and a unique number determination unit 303. [

In one embodiment, the bibliographic information input unit 302 can receive basic information related to an e-book author, a publisher, an issue year, a subject, and other relevant e-books. In one embodiment, the inherent number determination unit 303 may generate a unique number identifying the corresponding electronic book data and write it in the electronic book data. A search engine 130 that performs a text search of an e-book using the unique number and a DBMS 140 that searches for bibliographic information can be linked.

In one embodiment, the inner text area construction unit 301 can construct data included in a picture area representing the entire page. That is, an internal text area for storing code values of characters existing on each page, a position on the screen, and the like is configured. At this time, the picture area may be a picture or a picture. Alternatively, it may contain a set of instructions that allow the computer to generate a picture.

In one embodiment, the inner text area is logically formed into a structure of book> page> group> line> object. In one embodiment, the eBook is a collection of pages. In one embodiment, a page is a collection of internal groups. In one embodiment, a group is a set of internal lines. In one embodiment, a line is a collection of internal objects.

In one embodiment, the object may include "text "," picture "or" table text ". "Text" includes general letters. "Picture" includes not only general pictures, but also tables, formulas, and the like. "Table text" includes a hidden character which is not displayed on the screen, which describes "picture ".

In one embodiment, each object includes a "text code value" and a "coordinate value in the screen ". Therefore, when "table text" is utilized, it is possible to search for text corresponding to "picture" with respect to the "picture". In addition, the "table text" also has "coordinate values on the screen" as an object, so that it is possible to search where the picture is located on the page.

3, the internal text area configuration unit 301 includes an electronic document input unit 310 that receives an electronic document including, for example, a word file doc, a power point document (ppt), or a pdf file, . ≪ / RTI > The input electronic document generally includes page information, object code, and coordinate values of the object.

In one embodiment, the internal text area configuration unit 301 may further include a data extraction unit 320 for extracting page information, object code, and coordinate values of an object from the input electronic document.

In one embodiment, the internal text area configuration unit 301 may further include a group setting unit 330 that sets a group based on the coordinate values of all objects existing within the same page. For example, the group setting unit 330 may obtain the cluster distribution by analyzing the coordinate values of the objects in the page, and then classify the objects by cluster. In this embodiment, the group setting unit 330 may set each clustered cluster as a group and determine the order.

An example of clustering

Clustering in one embodiment of the present invention may be performed as follows. First, the basic constants are as follows.

- NumberOfClusters: Number of clusters initially set

- MinimumNumberOfElement: Minimum number of elements needed to maintain a cluster

- MinimumDistance: the minimum distance of each cluster center point where two clusters are not consolidated into one but can be maintained respectively

- SplittingSize: Parameters used when dividing a cluster

- MaxNumIter1: the maximum number of iterations that can be performed in the first half of this clustering method

- MaxNumIter2: the maximum possible number of iterations to be performed in the second half of this clustering method

- MaxNumMerge: the maximum number of clusters that can be consolidated in a single iteration

Clustering is basically dividing a block into points (elements) that lie in a certain space. In one embodiment of the present invention, this space corresponds to the page surface, and each element occupying the position is a geometric figure such as a letter or a figure.

Generally, the coordinates of the rectangle surrounding them are stored so that the position of the letters or pictures is handled by a digital device such as a computer. However, in reality, letters and pictures do not use all of the rectangular space in which they are drawn. Points of a specific color are printed on a specific area of the corresponding rectangle, and the remaining area remains as an empty space. Therefore, in order to cluster them in a two-dimensional page space consisting of letters and pictures, all the positions of the constituent points (pixels) of all the letters and pictures in the page must be tracked, which requires considerable calculation time.

Therefore, in the embodiment of the present invention, instead of the above-described method, a system is set up to display the position of a corresponding character or figure, and to assume that the whole inside of the rectangle surrounding the character or figure is filled with black dots. In this case, the computation time can be considerably saved, and the actual clustering result is also excellent.

In one embodiment of the present invention, clustering is performed as follows.

[1] Create coordinates of arbitrary points as many as NumberOfClusters, and then set the coordinates of these points as the center point of each cluster.

[2] For all the points in the space, the distance from each cluster center point set in the previous step is calculated, and the cluster including the center point closest to the center is set as the cluster to which it belongs.

[3] For each of the clusters, an average of the coordinate values of all the points included in the clusters is calculated, and the cluster center point is newly calculated and set.

[4] If at least one cluster has changed, or if the number of iterations from [1] to [4] is less than MaxNumIter1, go back to step [2].

[5] If the number of points belonging to a cluster is less than MinimumNumberOfElement, subsequent operations ignore this cluster and ignore the points contained in this cluster. In other words, this cluster is confirmed.

[6] If the number of clusters is greater than (Number 1) * NumberOfClusters, or if the number of iterations is even, go to step [7], otherwise go to step [8]. Here, (constant 1) is a value that can be appropriately adjusted in order to improve the performance.

[7] For all clusters, find the distance between the centers of each cluster, and if two clusters are found whose distance is less than MinimumDistance, combine the two clusters into one and calculate and assign a new center point. Repeat step [7] again. If the number of iterations reaches MaxNumIter2, the procedure goes to step [8].

[8] If the number of clusters is less than NumberOfClusters / (constant 2) or the number of iterations is odd, proceed to step 9, otherwise proceed to step 10.

[9] Find the standard deviation of the coordinate values of all the points belonging to the space and call it STD-All. For all clusters, find the standard deviation for only those points belonging to them, and then find a cluster whose value is greater than SplittingSize * STD-All. If the corresponding cluster is not found, proceed to step [10]. If the corresponding cluster is found, the cluster is divided into two based on the center point of the points belonging to the cluster. Next, we obtain the center points of each of these two clusters, find their distance, and if they are larger than (Constant 3) * MinimumDistance, they replace the original unified cluster with the two clusters thus divided. If not, adopt the original unified cluster as is.

[10] If the number of iterations of this step exceeds MaxNumIter2, or if the clusters have not changed since the last execution of this step, terminate. If not, the center point of the current clusters is selected as the initial value and the process proceeds to step [2].

In one embodiment, the inner text area configuration unit 301 may further include a line distinction unit 340 for analyzing the coordinate values of the objects existing in the group to distinguish objects belonging to the same line. The line distinguishing unit 340 can distinguish objects belonging to the same line depending on whether the e-book is in the proceeding direction, such as "horizontal writing" or "vertical writing ". In this embodiment, the line distinguishing unit 340 can automatically distinguish the progress direction based on the coordinate values of the objects in the group. In another embodiment, the line distinction unit 340 can determine the traveling direction based on the user's input.

In one embodiment, the inner text area construction unit 301 may further include an object order determination unit 350 that determines the order of objects belonging to the same line. The object order determining unit 350 can determine the order of the objects in the line according to whether the electronic book is proceeding, such as "horizontal writing" or "vertical writing. &Quot; In addition, the object order determining unit 350 determines whether or not the electronic book is to be read from " portrait "to " up ", depending on whether or not the electronic book starts from" You can determine the order of the objects differently depending on whether they start from or start from "bottom".

In this embodiment, the object order determination unit 350 can automatically distinguish the progress direction and the start position based on the coordinate values of the objects in the group. In another embodiment, the object order determination unit 350 can determine the progress direction and the start position based on the user's input.

In one embodiment, the inner text area configuration unit 301 may further include an editing unit 360 that corrects an error in the group setting, the line setting, or the order of the objects. In one embodiment, editor 360 may accept input specifying the boundaries of the group from the user. Accordingly, when there is an error in the group automatically set by the group setting unit 330, the group setting unit 330 can correct the error. Similarly, the editing unit 360 may accept input specifying the boundary of the line and the order of the objects from the user, and correct errors that may occur in the line distinguishing unit 340 or the object order determining unit 350.

라는 수식을 그림 객체로 설정한 경우, 사용자는 편집부(360)를 통해 "에이 제곱 더하기 비의 제곱은 씨의 제곱"을 해당 그림 객체의 테이블 텍스트로 입력할 수 있다.In one embodiment, the editing unit 360 may receive a table text describing the corresponding figure from the user. For example, the editing unit 360 may receive a text for reading a corresponding formula as a table text with respect to a formula as a picture object. for example,

, The user can input the square of the sum of squares and the square of the seeds as the table text of the corresponding picture object through the editing unit 360. [

When the text is structured as described above, it becomes possible to search for this expression when performing a text search through the search engine 130. [ Therefore, it is possible to search for complex formulas, chemical formulas, and even pictures or photographs.

For example, if the picture of "evening bell of milé" is set as a picture object, the corresponding table text through the editor 360, "This picture is the evening bell of milé." Jean Francois Millet, In addition to inheriting realism, it is also called a naturalistic wave by drawing pictures of nature, especially the picture of the evening paper on this page, which can be said to be the masterpiece of Millet. In this case, the search engine 130 can perform a text search using the keyword "evening of Miletus species ", and can accurately extract the location of the picture.

In one embodiment, the editor 360 may specify a "hidden group" that is displayed on the screen but is ignored by the search engine when searching. For example, a page number of a book, a portion representing a title on each page is a portion appearing on each page, but is a portion which does not require a search. The editing unit 360 may designate such a portion as a hidden group so as to be ignored when searching in the search engine.

4 shows an example of a group constituting pages of electronic book data according to an embodiment of the present invention. As shown in FIG. 4, page 400 may include five groups 410-450.

The group 410-450 is a set of lines in which the connection of contents naturally proceeds when the contents are read. The page 400 is composed of multiple stages and exists on the same line but there is a line in which the content can not be connected when read along. For example, a group 430 and a group 440 are known to be in a state where they are on the same line but are not connected to each other, for example, in a group 430. In this case, In group (440), "family relationship and life" is on the same line but content is not connected. Thus, the two groups 430 and 440 are distinct groups,

A group is similar to a paragraph in terms of whether the connection of contents proceeds naturally. Unlike the one shown in FIG. 4, one group can constitute one page. In the case where the page and the group are the same, it corresponds to the "short document". In a multi-tiered configuration, such as page 400, the page includes a plurality of groups.

When reading the internal lines sequentially, the pages may be formed into one or a plurality of groups according to the criterion of whether the contents are connected. Likewise, groups may be formed of one or more lines. Likewise, a line may be formed of one or more objects. For example, the group 410 is an example in which one picture object forms one line and one group.

In one embodiment, groups 410-450 of page 400 may have the order 410> 420> 430> 440> 450. The order of the groups may be based on the order of the contents. In this embodiment, when the user reads according to the order of the group, the entire contents of the page can be sequentially read. That is, reading the contents of a page corresponds to reading in the order of the group in the page, and reading in the order of the lines in the group.

In one embodiment, the group 450 may be designated as a "hidden group" by the editor 360 as a portion in which the titles of books repeated equally for each page appear. In this case, the text of the group 450 appears on the screen but is ignored when searching the text in the search engine 130.

5 shows another example of a group constituting pages of electronic book data according to an embodiment of the present invention. As shown in FIG. 5, page 500 may include three groups 510-530.

In one embodiment, groups 510-530 of page 500 may have an order of 510 > 520 > 530. In one embodiment, the group 530 may be designated as a "hidden group" by the editor 360 as a portion corresponding to the page number. In this case, the text of the group 530 appears on the screen but is ignored when searching the text in the search engine 130.

6 is a flow diagram of a method for forming an internal text area of electronic book data in accordance with an embodiment of the present invention.

The method 600 includes receiving (step 610) inputting an electronic document that includes a word file doc, a power point document (ppt), or a pdf file. In one embodiment, step 610 may be performed in the electronic document input unit 310. The input electronic document generally includes page information, object code, and coordinate values of the object.

Next, the method 600 includes extracting (step 620) data such as page information, object code, and object coordinate values from the input electronic document. In one embodiment, step 620 may be performed in the data extractor 320.

Next, the method 600 includes setting (630) a group based on the coordinate values of all objects within the same page. In one embodiment, step 630 may be performed by the group setting unit 330. [ The group setting step 630 may include collecting and classifying the cluster distribution by analyzing the coordinate values of the objects in the page, and then clustering the objects by the clusters. In this embodiment, the group setting step 630 may comprise grouping and ordering each clustered cluster.

Next, the method 600 includes analyzing the coordinate values of each object existing in the group and distinguishing objects belonging to the same line (640). In one embodiment, step 640 may be performed by the line distinguishing unit 340. The line distinction step 640 may be implemented to distinguish objects belonging to the same line depending on the direction of the e-book, e.g., "horizontal writing" or "vertical writing ". The line distinction step 640 may be performed automatically based on the coordinate values of the objects in the group or by determining the direction of travel based on the user's input.

Next, the method 600 includes determining (650) the order of objects belonging to the same line. In one embodiment, the step 650 can be performed in the object order determination unit 350. The object order determination step 650 may be implemented to determine the order of the objects in the line depending on whether the electronic book is in the progressive direction, such as "horizontal writing" or "vertical writing. &Quot; In addition, the object order determination step 650 may be performed in the order of "vertical writing" to "top writing", depending on whether the electronic book starts from "left" or "right" To determine the order of the objects differently depending on whether they start at the beginning or at the "bottom ".

In this embodiment, the object sequence determination step 650 may be implemented to automatically distinguish the progress direction and the start position based on the coordinate values of the objects in the group. In another embodiment, the object sequencing step 650 may be implemented to determine a progress direction and a start position based on a user's input.

In one embodiment, the method 600 may further comprise an editor step 660 that corrects errors that may occur in the group setting step 630, the line distinction step 640, or the object sequencing step 650 have. In one embodiment, the editing step 660 may include receiving input specifying a boundary of the group from the user. Accordingly, when there is an error in the group set in the group setting step 630, it can be corrected. Similarly, editing step 660 may include receiving an input specifying a boundary of a line or an order of objects from a user. In this case, errors that may occur in the line distinction step 640 or the object sequence determination step 650 can be corrected.

라는 수식을 그림 객체로 설정한 경우, 사용자는 "에이 제곱 더하기 비의 제곱은 씨의 제곱"을 해당 그림 객체의 테이블 텍스트로 입력할 수 있다.In one embodiment, the editing step 660 may include receiving a table text describing the picture for the picture from the user. For example, for a formula which is a picture object, a text for reading the corresponding formula can be input as a table text. for example,

Is set as a picture object, the user can input "squared plus squared squared of the seed" as the table text of the corresponding picture object.

When the text is structured as described above, it becomes possible to search for this expression when performing a text search through the search engine 130. [ Therefore, it is possible to search for complex formulas, chemical formulas, and even pictures or photographs.

For example, if you set the picture of "The Bell of Miletus" as a picture object, the corresponding table text in the edit step 660, "This picture is the evening of Miletus." Jean Francois Millet, In addition to inheriting realism, it is also called a naturalistic wave by drawing a picture of nature. Especially, this picture called the evening paper on the page is the masterpiece of Millet. In this case, the search engine 130 can perform a text search using the keyword "evening of Miletus species ", and can accurately extract the location of the picture.

In one embodiment, the edit step 660 may include specifying a "hidden group" that is displayed on the screen but is ignored by the search engine upon retrieval. For example, a page number of a book, a portion representing a title on each page is a portion appearing on each page, but is a portion which does not require a search. In the editing step 660, such a portion may be designated as a hidden group so as to be ignored in the search in the search engine.

It should be noted that the steps shown in Fig. 6 are illustrative, and that the steps can be integrated or separated into detailed steps according to the embodiment. It is also possible that some steps are omitted or repeated.

7 is a flow diagram of a method for retrieving e-book data in accordance with an embodiment of the present invention. In one embodiment, the method 700 may be performed in conjunction with the search engine 130 and the DBMS 140 by the e-book searching unit 240 of the e-book searching apparatus shown in Fig.

The method 700 includes receiving 710 a search range from a user. In one embodiment, the search range indicates whether it is a personalized region or a non-personalized region. For example, the personalization area may include the details of books that each person purchased and books borrowed from the library. In addition, the non-personalized area may include bookstores where each individual can purchase e-books and books owned by each e-book library.

Next, the method 700 includes receiving (720) inputting a keyword from a user. In one embodiment, the keyword may include a word for body search or a word for non-body search.

The method 700 includes a step 730 of determining whether the search range entered in step 710 represents a personalized region or a non-personalized region. If it is determined in step 730 that the search range is the personalization area, the DBMS 140 performs search (step 742). In one embodiment, step 742 may include searching for bibliographic information in the DBMS 140 using words for non-text search among the keywords input in operation 720. [

After performing step 742, the method 700 includes a step 744 of further searching in the search engine 130 for the resulting e-books. In one embodiment, step 744 is a step of inputting a unique number of the electronic books extracted in step 742 and a word for body search among the keywords inputted in step 720 into the search engine 130 and extracting the unique number of the corresponding electronic book . ≪ / RTI >

In one embodiment, the method 700 may, after step 744, generate an input indicating the user's further instructions, e.g., based on selecting one of the resulting e-books, To the search engine 130, thereby extracting page-by-page search results of the electronic book.

If it is determined in step 730 that the search range is a non-personalized area, the search engine 130 performs search in step 752. In one embodiment, step 752 may include performing a text search in the search engine 130 using a word for text search among the keywords input in step 720.

After performing step 752, the method 700 includes a step 756 of further searching in the DBMS 140 for the resulting e-books. In step 756, the unique number of the e-book retrieved in step 752 and a word for non-text retrieval may be input to the DBMS 140 to extract the unique number of the e-book satisfying the text and bibliographic information.

In one embodiment, the method 700 may further include the step 754 of dividing the e-books extracted from the search engine 130 into a set having a predetermined size before step 756 after step 752. In this embodiment, step 756 may include performing DBMS 140 searches sequentially for each set partitioned in step 754.

For example, if the predetermined size is 100 and the number of e-books extracted as a result of the search engine 130 is 952, the search result may be divided into 10 sets in step 754. [ The tenth set contains the unique number of 52 e-books.

The search result of the search engine 130 is divided into a set in step 754 and the DBMS 140 is searched in step 756. In this case, In one embodiment, the search engine 130 may be configured to output the results in the order most relevant to the entered text search words. The search results of the search engine 130 are divided into a set in step 754 and the bibliographic information is sequentially retrieved in the DBMS 140 in step 756. In this case,

After step 756, a unique number of the selected e-book and a word for body search are retrieved from the search engine 130 based on the selection of one of the e-books extracted as the result of the input, And extracting page-by-page search results of the electronic book.

Note that the steps shown in Fig. 7 are illustrative and may be added, repeated, omitted, or separated depending on the embodiment. For example, in step 730, steps 742 and 744 are performed in the case of a personalization area, and steps 752 and 756 in the case of a non-personalization area are performed according to a search range. However, The DBMS 140 search can be performed by limiting the classification. Likewise, the search engine 130 may search for the text search keyword by inputting the keyword for the search result obtained in step 756.

In the apparatus embodiments disclosed herein, the arrangement of the components shown may vary depending on the environment or requirements in which the invention is implemented. For example, some components may be omitted or some components may be integrated into one. In addition, the arrangement order and connection of some components may be changed.

In the method embodiments disclosed herein, the arrangement of the steps shown may vary depending on the environment or requirements in which the invention is implemented. For example, some steps may be omitted or some steps may be integrated into one. In addition, the arrangement order of some steps and the like may be changed.

Although the present invention and its various functional elements have been described in terms of specific embodiments, it will be appreciated that the invention may be implemented in hardware, software, firmware, middleware, or a combination thereof and may be implemented as a system, subsystem, It should be understood that the present invention can be utilized as an element. When implemented in software, the elements of the present invention are the instructions / code segments for performing the necessary tasks. The program or code segments may be stored in a machine-readable medium, such as a processor-readable medium, in a computer program product, or via a transmission medium or communication link by a computer data signal embodied as a carrier wave or a signal modulated by a carrier Lt; / RTI > A machine-readable medium or a processor-readable medium may include any medium that can be read by a machine (e.g., processor, computer, etc.) and capable of storing or transmitting information in an executable form.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. You will understand that an example is possible.

Claims (10)

Search for e-books in an e-book retrieval device that interoperates over a network with a database management system (DBMS) that stores bibliographic information and a unique number of e-book data including groups formed by clustering objects based on coordinates of objects As a way to
Receiving a search range indicating whether the user is a personalization area or a non-personalization area,
Receiving a word for a body search or a word for a non-body search from a user as a keyword,
Requesting a database management system (DBMS) to search for the keyword if the search range is a personalization area, and
Receiving a search result from the DBMS
The method comprising the steps of: The method of claim 1,
The e-book retrieval device is linked with a search engine for storing the body and the unique number of the e-book data through the network,
Wherein the step of requesting the DBMS to search for the keyword includes the step of requesting the DBMS to perform a search with a word for non-text search,
The search result includes a unique number of the e-book,
Requesting a search by inputting a unique number of the e-book and the text search word into a search engine, and
Receiving search results from the search engine
Further comprising the steps of: The method of claim 1,
The e-book retrieval device is linked with a search engine for storing the body and the unique number of the e-book data through the network,
If the search range is an unpersonalized area, requesting a search engine for the keyword, and
Receiving search results from the search engine
Further comprising the steps of: The method of claim 3,
Requesting a search for the keyword from the search engine includes requesting a search from the search engine with a word for text search,
Wherein the search result received from the search engine includes a unique number of at least one electronic book,
Requesting a search by inputting a unique number of the at least one e-book and a word for searching other than the text into a DBMS, and
Receiving a search result from the DBMS
Further comprising the steps of: 5. The method of claim 4,
Requesting a search by inputting a unique number of the at least one e-book and a word for searching other than the text into a DBMS,
Dividing the unique number of the at least one electronic book into a set having a predetermined number;
Requesting a search by inputting unique numbers of e-books belonging to each set to the DBMS in order
The method comprising the steps of: An electronic book system for providing an electronic book search service via a network,
An e-book retrieval device that receives a search range indicating whether the personalized area or the non-personalized area is input by a user and a word for text search or a word for text search as a keyword, and
A database management system (DBMS) that stores bibliographic information and a unique number of e-book data including a group formed by clustering objects based on coordinates of the object,
The e-book search apparatus requests the DBMS to search for the keyword if the search range is a personalization area,
Wherein the DBMS retrieves bibliographic information from a search word for non-text search in response to receiving a search request from the electronic book search device and extracts a unique number of the corresponding electronic book. The method according to claim 6,
Further comprising a search engine for storing the unique number and body of the e-book data,
The e-book searching device receives a search result including the unique number of the e-book from the DBMS, requests the search by inputting the unique number of the received e-book and the text search word into a search engine,
And the search engine searches for a text using a text search word in response to receiving a search request from the e-book search apparatus, and extracts a unique number of the corresponding e-book. The method according to claim 6,
Further comprising a search engine for storing the unique number and body of the e-book data,
The e-book search apparatus requests the search engine to search for the keyword when the search range is a non-personalized region,
And the search engine searches for a text using a text search word in response to receiving a search request from the e-book search apparatus, and extracts a unique number of the corresponding e-book. 9. The method of claim 8,
The e-book search apparatus receives a search result including a unique number of at least one e-book from the search engine, inputs the received unique number of the at least one e-book and the word for searching outside the text into a DBMS. Request a search,
Wherein the DBMS retrieves bibliographic information as a word for non-text search in response to receiving a search request from the e-book search apparatus, and extracts a unique number of the corresponding e-book. 10. The method of claim 9,
In response to receiving the unique number of the at least one e-book from the search engine, the e-book searching apparatus divides the unique number of the at least one e-book into a set having a predetermined number and belongs to each set. And request a search by inputting the unique number of the e-book into the DBMS in order.

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