KR20160006936A

KR20160006936A - System and method based on ontology analysis for providing user ordered information

Info

Publication number: KR20160006936A
Application number: KR1020140086653A
Authority: KR
Inventors: 이창엽; 서재택
Original assignee: 이창엽
Priority date: 2014-07-10
Filing date: 2014-07-10
Publication date: 2016-01-20
Also published as: KR101596390B1

Abstract

A keyword retrieval means for receiving a keyword from the keyword retrieval means, separating the received keyword into at least one attribute, extracting a customized search result based on the keyword and the attribute, And an information providing server for providing the extracted user customized search result to a user, a network connected with the keyword searching means and the information providing server, for performing a search from the keyword searching means, And a user terminal for receiving an ontology analysis result.

Description

Technical Field [0001] The present invention relates to a system and a method for providing user-customized information based on ontology analysis,

The present invention relates to a user-customized information providing system and method based on ontology analysis. More particularly, the present invention relates to a system and a method for providing a user-customized information based on an ontology analysis for analyzing a user's interest and trend based on a keyword searched by a user and providing search results highly related to a user.

Currently, the Internet search method is the WEB2.0 method, which requires the search results to be obtained in one direction mainly through search engines and search portals.

However, in this way, it is not easy to get accurate search results that users want at the same time in the flood of data which exponentially increases as the age changes rapidly. The increase in the amount of Internet data around the world is about 210 billion e-mails a day, and the same amount of video that is produced every 10 years by three US broadcasters (abc, NBC, CBS) is coming up on YouTube every day. In the era of information congestion, search users must make more effort to find the exact data they are looking for, and as data growth accelerates, users will become more and more difficult to search. In addition, the search users who have to repeat the search several times using the AND OR conditions of multiple words have become increasingly uncomfortable and difficult. Therefore, it is necessary to develop new attribute service that can reduce the difficulty in user-centered search and improve the quality of service search result.

As a solution to this problem, the semantic web technology that provides more reliable result after finding the similarity and correlation of words outside the conventional text-based search method has emerged.

In this way, the next generation web we are aiming at in the future is semantic web based on semantics which can provide more accurate and reliable information and web service which provides higher quality service to users (customers) And these technologies will seek to transition to distributed services that support heterogeneous environments.

Web services refers to a software system that helps interact with heterogeneous platforms by transmitting structured data using XML to existing Web technologies such as HTTP (HyperText Transfer Protocol).

These Web services provide the RPC mechanism in the distributed environment of the web based on the standards such as SOAP (Simple Object Access Protocol), WSDL (Web Services Description Language), UDDI (Universal Description, Discovry and Intergration) It is a technology that can be. This enables companies to effectively disclose their business logic through the Web, effectively enabling business-to-business integration (B2Bi).

Web services are core technologies that are essential for e-business. In each industry, languages such as DAML-S, WSFL, X-LANG and BPEL4WS are being studied and developed for configuring semantic web services. DAML-S is able to register, search, configure, execute and combine effective web services by complementing the lack of existing researches for web service automation by accessing the existing web service method in the semantic web environment.

However, DAML-S, the current semantic web service model, has some shortcomings to support automated web services. First, basic web service methods such as UDDI do not reflect semantic elements by simple retrieval method such as parsing. In addition, it is difficult to verify and confirm the user requirements because a service such as agent of artificial intelligence is not provided to describe the desired information and to compare the result.

Second, in order to integrate and combine unit services, it is necessary to integrate different ontology information. The Web Service Composition Language (WML) is a combination of Microsoft's proposed XLANG, IBM's proposed Web Service Flow Language (WSFL), Microsoft's and IBM's proposed BPEL4WS (Business Process Execution Language for Web Service ), But different standardization tasks are becoming obstacles to the elements for the integrated environment. Also, automated web service combining technologies such as agent technology are required.

Third, the most important thing about semantic web services is how trustworthy is the service they provide. However, existing web service methods are not reliable message processing.

Fourth, the present web service search method does not provide priorities and automatic classification methods for search results. Therefore, a ranking method considering user requirements and preferences is required.

Korean Patent Laid-Open No. 10-2007-0007150 Korean Patent Publication No. 10-2005-0095230

According to an aspect of the present invention, there is provided a search result corresponding to a field of interest of a user based on a keyword input by a user. That is, the technical problem to be solved by the present invention is to provide dynamically changing information and user-customized information that accurately reflects user's requirements.

According to another aspect of the present invention, there is provided a method for providing a user-customized information based on past input data of a user, thereby improving reliability of information.

According to another aspect of the present invention, there is provided a system for providing a user-customized information based on ontology analysis, comprising: a keyword searching unit for inputting a keyword; Extracting a user-specific search result based on the keyword and the attribute, and providing the extracted user-customized search result to a user An information providing server; And a user terminal connected to the keyword search means and the information providing server on a network for performing a search from the keyword search means and receiving the user customized result from the information providing server.

At this time, the server includes: a keyword receiving unit for receiving the input keyword; A first extracting unit for extracting a search result based on the keyword; A keyword attribute determination unit for determining an attribute of the received keyword; A first storage module for storing the input keyword and the determined attribute; A second extracting unit for extracting a search result data set that is the closest to the inputted keyword by sequentially inferring a result of a user's interest based on the stored keyword and attribute; A second storage module for storing the data set; And an information providing unit for providing the stored data set to the user at a time designated by the user.

The keyword attribute determination unit may classify the received keyword by at least one attribute among attributes of the ontology, and the attribute of the ontology may include at least one of a class, an instance, a property, a relation relation.

The second extracting unit deduces the search results extracted by the first extracting unit based on the stored keywords and attributes in the order of high interest by the user using a semantic matching algorithm, The first storage module can store the input keyword and the determined attribute in the form of a continuous hexagon, but the continuous form of the hexagon is an exemplary model only. But is not limited to.

According to another aspect of the present invention, there is provided a method of providing user-customized information based on ontology analysis, comprising: inputting a keyword; Extracting a search result for the input keyword; Determining an attribute of the keyword using the extracted result; Storing the input keyword and the discriminated attribute; Extracting a search result data set that is the closest to the inputted keyword by sequentially inferring a result of which the user is highly interested based on the stored keyword and attribute; And providing the extracted data set to the user at a time designated by the user.

According to the user-customized information providing system and method based on the ontology analysis according to the present invention, it is possible to provide a search result corresponding to a field of high interest of a user based on a keyword inputted by a user, To provide information that changes dynamically and user-customized information that accurately reflects the user's requirements, thereby increasing the reliability of the information.

1 is a block diagram illustrating a configuration of a user-customized information providing system according to an embodiment of the present invention.
2 is a block diagram illustrating a configuration of a user terminal according to an embodiment of the present invention.
3 is a block diagram illustrating the configuration of an information providing server according to an embodiment of the present invention.
FIG. 4 is a schematic view of a first storage module according to an embodiment of the present invention. Referring to FIG.
FIG. 5 is a flowchart illustrating a process of providing a user-customized information providing method according to an exemplary embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, the same reference numerals are used to designate the same or similar components throughout the drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather obvious or understandable to those skilled in the art.

1 is a block diagram illustrating a configuration of a user-customized information providing system according to an embodiment of the present invention.

Referring to FIG. 1, the user-customized information providing system 1 can support a user with a user-customized search result based on a keyword input by a user.

The user-customized information providing system 1 may include a user terminal 100, a keyword searching unit 200, an information providing server 300, and a network 10. The user terminal 100, the keyword search unit 200, and the information providing server 300 may be connected to the network 10.

The user terminal 100 may be a terminal for requesting user-customized information based on the ontology analysis or receiving user-customized information based on the requested ontology analysis. The user terminal 100 is connected to the keyword search unit 200 and the information providing server 300 on the network 10 to perform a search from the keyword search unit, It is possible to receive the customized result.

The user terminal 100 may include a display function and may be connected to the server 200 via a network. Also, the user terminal 100 can send a message and file transfer is possible. The user terminal 100 may be at least one of a smart phone, a desktop, a notebook, a tablet PC, a PDA, and an IPTV.

The keyword search means 200 refers to various search sites that exist in various places on the Internet and transmits / receives the information through a web browser while communicating with the user terminal 100 through the network 10.

The information providing server 300 may control the user terminal 100. [ Also, the information providing server 300 may receive the keyword inputted by the user and store the keyword inputted by the user.

The network 10 may be composed of a backbone network and an access network. The backbone network may be composed of one or a plurality of integrated networks of X.25 network, Frame Relay network, ATM network, MPLS (Multi Protocol Label Switching) network and GMPLS (Generalized Multi Protocol Label Switching) network. The subscriber network may be a fiber to the home (FTTH), an asymmetric digital subscriber line (ADSL), a cable network, a wireless LAN (IEEE 802.11b, IEEE 802.11a, IEEE 802.11g, IEEE 802.11n), WIBro HSDPA (High Speed Downlink Packet Access). In some embodiments, the network 10 may be an Internet network and may be a mobile communication network.

The user terminal 100 may request the information providing server 300 through the network 10 for a user-customized search result. The information providing server 300 may support the user-customized search result requested from the user terminal 100. [

2 is a block diagram illustrating a configuration of a user terminal according to an embodiment of the present invention.

2, the user terminal 100 may include a communication unit 110, a control unit 120, a storage unit 130, an interface unit 140, and a display unit 150.

The communication unit 110 transmits the source code generated by the control unit 120 to the server 200. [

The control unit 120 executes an instruction and performs an operation associated with the user terminal 100. For example, using the instruction retrieved from the storage unit 130, the control unit 120 controls input and output between the components of the user terminal 100, and reception and processing of data.

The control unit 120 executes the program code together with the operating system, and generates and uses data. The operating system is generally known and will not be described in more detail. By way of example, the operating system may be a Windows-based OS, Unix, LINUX, Palm OS, DOS, Android and Macintosh. An operating system, other computer code, and data may reside in the storage unit 130 that operates in conjunction with the control unit 120.

The control unit 120 recognizes a user action and can control the user terminal 100 based on the recognized user action. Wherein the user action includes selecting a physical button on the user terminal or remote control, performing a predetermined touch gesture on the touch screen display surface or selecting a soft button, performing a predetermined spatial gesture recognized from the image captured by the imaging device, And performing a predetermined utterance recognized by voice recognition of the received voice.

The control unit 120 may be implemented on a single chip, a plurality of chips, or a plurality of electrical components. For example, various architectures can be used for the controller 120, including a dedicated or embedded processor, a single purpose processor, a controller, an ASIC, and so on.

The storage unit 130 generally provides a place for storing program codes and data used by the user terminal 100. At this time, the storage unit 130 may store DBs such as a DBMS and an RDBMS.

The storage unit 130 may be implemented as a read only memory (ROM), a random access memory (RAM), a hard disk drive, or the like. The program code and data may reside on a removable storage medium and may be loaded or installed on the user terminal 100 when needed. The removable storage medium may include a CD-ROM, a PC-CARD, a memory card, a floppy disk, a magnetic tape, and a network component.

The user interface unit 140 senses a user action and outputs the sensed result to the control unit 120. The control unit 120 may recognize the user action based on a result output from the user interface unit 140. [

The display unit 150 displays at least one or more links for providing customized information under the control of the controller 120.

3 is a block diagram illustrating the configuration of an information providing server according to an embodiment of the present invention.

3, the information providing server 300 includes a keyword receiving unit 310, a first extracting unit 320, a first storing module 330, a second extracting unit 340, a second storing module 350, And an information providing unit 360.

The keyword receiving unit 310 may receive a keyword input through the keyword searching unit 200. [ The keyword may be in the form of a packet. The keyword is inputted through the user terminal 100, and the inputted keyword can be received by the receiving unit in the keyword searching unit 200. The keyword search unit 310 is at least one of search engines such as Google, Yahoo, Naver, and the like.

The first extracting unit 320 can extract a search result based on the keyword received by the keyword receiving unit 310. The first extracting unit 320 can crawl the retrieved information based on the keyword inputted through the search engines and thereby extract information related to the keyword received by the keyword receiving unit 310 .

The keyword attribute determining unit 330 can determine the attribute of the keyword received by the keyword receiving unit 310. [ The attribute means an attribute of the ontology. That is, the keyword attribute determination unit 330 can select at least one of the attributes of the ontology.

At this time, the attribute of the ontology may include a class, an instance, a property, and a relation. In this case, a class is a name attached to an object or a concept, and an instance means that a thing or a concept appears in a substantial form such as a concrete or an event. A property is a value that an instance has, and a relation means a relation existing between a class and an instance. For example, if the class is a book, the instance can be the name of the book, and the properties can be the price of the book, or the size of the book.

In other words, for example, when describing the keyword property determination unit 330, the keyword 'Hong Myung Bo' is a class attribute and an instance attribute. Therefore, the two attributes are distinguished with respect to Hong Myung Bo.

The first storage module 340 may store the attribute associated with the keyword identified by the keyword keyword attribute determination unit 330 in association with the keyword. At this time, the first storage module 340 may store the inputted keyword and the determined attributes in a form of continuous hexagons (see FIG. 4). In addition, since the input keyword and the determined attribute are stored in the form of continuous hexagons, the keyword property determination unit 330 composes a hexagonal continuous form and stores it in the first storage module 330. At this time, the shape in which the hexagons are continuous is one exemplary model, but is not limited thereto.

In addition, the first storage module 340 may store and store a plurality of attributes in one keyword in the form of 'keyword: attribute 1', 'keyword: attribute 2', or the like. That is, the keyword: attribute is stored in 1: N format.

The second extracting unit 350 sequentially extracts results of the user's interest based on the keywords and attributes stored in the first storage module 340 and extracts a result data set that is the closest to the inputted keyword. At this time, the result data set closest to the input keyword is user-customized information reflecting the user's interest. In addition, the second extracting unit 350 can sequentially infer the user's high-interest results based on the keywords and attributes stored in the first storage module 340 using a semantic matching algorithm, Thereby, it is possible to extract a set of search result data closest to the keyword.

In more detail, the second extracting unit 350 sequentially extracts keywords stored in the first storage module 340 and the keyword stored in the first storage module 340 to sequentially infer the user's high- And extract the search result data set desired by the user from the search result extracted by the first extracting unit 320 based on the attribute.

For example, 'Hong Myung-bo: class' and 'Hong Myung-bo: instance' are used. If there is an existing keyword, search results associated with the keyword are extracted through the first extracting unit 320. However, if the number of related search results is small, only the previous search results are collected.

The second storage module 360 may store the data set extracted by the second extraction unit 350. The data set may be stored in the form of a link.

The information providing unit 370 may provide the user with a set of data stored in the second storage module 360 at a time designated by the user. The time designated by the user can be preset by the user. In addition, when providing the stored data set to the user, the information providing unit 370 may provide a data set to the user in a broadcasting manner.

FIG. 4 is a schematic view of a first storage module according to an embodiment of the present invention. Referring to FIG.

Referring to FIG. 4, the first storage module 340 may have a honeycomb shape, for example, a two-dimensional hexagonal shape repeated. In order to store the attributes determined by the keyword and attribute determination unit 330 received by the keyword receiving unit 310 as a continuous hexagon, the keyword property determination unit 330 constructs a hexagon- Module 330 as shown in FIG. In addition, the first storage module 340 can designate and store an ontology attribute for each keyword. At this time, the shape in which the hexagons are continuous is one exemplary model, but is not limited thereto.

FIG. 5 is a flowchart illustrating a process of providing a user-customized information providing method according to an exemplary embodiment of the present invention.

Referring to FIG. 5, first, a user inputs a keyword using a search portal (S110).

The keyword is inputted through the user terminal 100, and the inputted keyword can be received by the receiving unit in the keyword searching unit 200. The keyword search unit 310 may be any one of search engines such as Google, Yahoo, Naver, and the like.

Next, the search result for the keyword input by the user is extracted (S120).

As a method of extracting the search result, the information searched based on the keyword inputted through the search engines is crawled, thereby extracting information related to the keyword. For example, each search site extracts the posts containing the entered keywords.

Next, the attribute of the inputted keyword is discriminated (S130).

That is, one of the ontology attributes is selected by the keyword inputted in the step S110, and the attribute of the keyword is discriminated. At this time, the attribute of the ontology may include a class, an instance, a property, and a relation.

For example, the keyword 'Hong Myeongbo' is a class attribute and an instance attribute. Therefore, the two attributes are distinguished with respect to Hong Myung Bo.

Next, the input keyword and the discriminated attribute are stored (S140).

The keywords input in the step S110 and the attributes determined in the step S130 are stored in the form of continuous hexagons. At this time, the shape in which the hexagons are continuous is one exemplary model, but is not limited thereto.

More specifically, a plurality of attributes can be specified and stored in one keyword in the form of 'keyword: attribute 1', 'keyword: attribute 2', or the like. That is, the keyword: attribute is stored in 1: N format.

In operation S150, a search result data set closest to the input keyword is extracted by sequentially inferring the user's high interest based on the stored keyword and attribute.

Here, as a concrete method, it is possible to sequentially deduce a result of high interest by the user based on the stored keyword and attribute using a semantic matching algorithm, thereby obtaining a search result data set In a link format.

In more detail, based on the keywords and attributes stored in step S140, a set of search result data desired by the user is extracted from the search result extracted in step 120 using a semantic matching algorithm, . At this time, the retrieval result data set extracted is a link type.

For example, if there is an existing keyword based on 'Hong Myung-bo: class' and 'Hong Myung-bo: instance', the search result associated with the keyword is extracted. However, if the number of related search results is small, only the previous search results are collected.

Finally, the extracted data set is provided to the user at a time designated by the user (S160).

In more detail, the extracted data set can be provided to a user in a broadcasting manner at a preset time by a user.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be taken by way of limitation in the embodiment in which said invention is directed. It will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the scope of the appended claims.

Claims

A keyword search means for inputting a keyword;
Extracting a user-specific search result based on the keyword and the attribute, and providing the extracted user-customized search result to a user An information providing server; And
A user terminal connected to the keyword search means and the information providing server on a network for performing a search from the keyword search means and receiving the user customization result from the information providing server,
A user - tailored information providing system based on ontology analysis.

The method according to claim 1,
The server comprises:
A keyword receiving unit receiving the input keyword;
A first extracting unit for extracting a search result based on the received keyword;
A keyword attribute determination unit for determining an attribute of the received keyword;
A first storage module for storing the received keyword and the determined attribute;
A second extracting unit for extracting a search result data set that is the closest to the inputted keyword by sequentially inferring a result of a user's interest based on the stored keyword and attribute;
A second storage module for storing the extracted data set;
And providing the stored data set to the user at a time designated by the user,
A user - tailored information providing system based on ontology analysis.

3. The method of claim 2,
The keyword attribute determination unit may determine,
Classifying the received keyword into at least one attribute of the ontology attributes,
Wherein the attribute of the ontology includes a class, an instance, a property, and a relation.

3. The method of claim 2,
The second extracting unit extracts,
Based on the stored keywords and attributes, the search results extracted by the first extracting unit in order of relevance to the user by using a semantic matching algorithm, extracting a set of search result data closest to the input keyword A user-customized information providing system based on an ontology analysis.

3. The method of claim 2,
The first storage module,
Wherein the input keyword and the determined attribute are stored in the form of a continuous polygon.

Inputting a keyword;
Extracting a search result for the input keyword;
Determining an attribute of the input keyword;
Storing the input keyword and the discriminated attribute;
Extracting a search result data set that is the closest to the inputted keyword by sequentially inferring a result of which the user is highly interested based on the stored keyword and attribute;
And providing the extracted data set to the user at a time designated by the user
A user-customized information providing method based on ontology analysis.