KR20070074164A - Cube interface apparatus and method using semantic web technology - Google Patents

Abstract

A device and a method for providing a semantic web cube interface are provided to facilitate input of a plurality of keywords for performing semantic search, and support semantic web server by recommending a query based on a property-based cube interface, or/and receiving an actual search value through a search input window and recommending the query with interaction with property of a cube. A surface/property selector(510) enables a semantic web search user to select a surface and the property. A recommender(520) recommends the query by analyzing the selected surface and property. A search request/result output part(530) outputs a semantic web search result by requesting the semantic web search according to the recommended query, or after a query or regeneration process. The surface/property selector includes a property surface selector(511) selecting a target surface including the desired property from the cube interface, a property selector(512) selecting the desired property among various representative properties displayed in the selected target surface, a sub property surface selector(513), and a sub property selector(514).

Description

Semantic web cube interface device and method therefor {Cube interface apparatus and method using semantic web technology}

1 is a configuration diagram of an embodiment of a conventional web search system;

2 is a block diagram of an embodiment of a conventional web search user interface device.

3 is a configuration diagram of an embodiment of a semantic web search system to which the present invention is applied;

4 is a view for explaining the concept of a semantic web cube interface device according to the present invention;

5 is a configuration diagram of an embodiment of a semantic web cube interface device for a forward search according to the present invention;

6 is a block diagram of an embodiment of a semantic web cube interface device for backward searching according to the present invention;

7 is a flow diagram of an embodiment of the semantic web cube interface method for a forward search according to the present invention;

8 is a flow diagram of an embodiment of the semantic web cube interface method for a backward search according to the present invention;

FIG. 9 illustrates an example of each face and a cell of a cube corresponding to a representative attribute among ontology and metadata information stored in an ontology repository.

* Explanation of symbols for the main parts of the drawings

310: user 320: cube interface device

330: Semantic Web Search Engine 340: Ontology Repository

410: cube interface

The present invention relates to a semantic web cube interface device using semantic web technology, a method and a computer-readable recording medium recording a program for realizing the method. More specifically, a semantic web cube (Cube) (B) allow a search user to select a representative attribute to search for and then perform a semantic web search by recommending and modifying a search query based on the selected representative attribute through an existing search window, and / or The semantic web cube interface device and method and method for supporting semantic web search by inputting search actual value through search input window and recommending search query by interacting with attributes of cube To a computer-readable recording medium that records a program to realize It is about.

First, the semantic web technology will be described to help understand the present invention.

The World Wide Web (WWW), proposed by Tim Berners-Lee in 1989, expresses information in a simple markup language called HyperText Markup Language (HTML) to share information in the Internet space. By doing so, it has revolutionized Internet-based information sharing and delivery. As a result, a huge information space was established that interconnected various information resources, and the Internet rapidly spread to the real world, thereby innovating the information society.

However, the existing web technologies face many problems as the amount of web information increases. In particular, since the existing web only allows access to information by keywords, it generates a flood of information by producing a myriad of unnecessary information for simple keyword search. In addition, the existing web is a human-oriented information processing technology that the computer does not provide enough functions to effectively extract, interpret, and process the necessary information on its own.

Therefore, the semantic web is a technology that can extend the existing web to realize semantic interoperability based on well-defined meanings that computers can understand and to build an effective cooperative system between humans and computers. It appeared.

The Semantic Web is a semantic-based search that allows not only humans but also machines to understand the information on the web, and finds only the results that meet the user's needs. Enable automatic service on behalf of

In other words, the semantic web is a next-generation web technology that enables a computer to understand, automate, integrate, and reuse the meaning of information resources.

1) Ontology

Ontology is a formal specification system for shared conceptualization and provides semantic information of domain vocabulary. Ontology is a kind of knowledge expression, and the computer can understand the concept represented by the ontology and process the knowledge. In order to deal with inferences, the ontology's axiom and rule system are needed.

2) semantically annotated web

An ontology annotated web, a knowledge base. The Semantic Web can build a huge knowledge base that semantically integrates the distributed information resources of the Internet. In a narrow sense, it may be possible to build a knowledge base of information resources of a company or institution.

3) agent

It is an intelligent agent that collects, retrieves and infers information resources on behalf of humans (users), and exchanges information with other agents. Intelligent agents are the core of semantic web-based application systems.

The semantic web realizes semantic interoperability by using ontology and agent technology, and thus, the semantic web can leap from the information-based web to the knowledge-based semantic web.

FIG. 1 is a block diagram of a conventional web search system, which includes a search interface device 120, a search engine 130, and a document database (DB) 140.

As shown in FIG. 1, in the conventional web search system, when a user 110 inputs a search word such as a keyword into the search interface device 120, the search engine 130 searches the document database 140 with the corresponding search word. By displaying the search results on the search interface device 120, the user 110 could check the search results.

In this case, the search engine 130 processes parsing / comparison, etc. in a search API (Application Programming Interface) 131 with respect to keywords inputted through the search interface device 120, and the document reader 132. Reads a variety of documents of the object to find in, the indexer 133 indexes the documents of the document database 140.

In general, a web search service refers to a service that collects HTML data of various sites using a web robot and indexes the collected HTML data to perform a search. In general, if there is no classification criteria such as category, the search is performed based on the search keyword, and all tasks are automated. In recent years, search services such as "Naver" and "Google" provide more satisfactory search results by using page ranking information as well as search keywords.

FIG. 2 is a block diagram of a conventional web search user interface device, and includes a keyword classification 210 and a keyword input window 22.

As shown in FIG. 2, the general web search user interface device may select a type (integration, English, dictionary, etc.) to be searched through the search term classification 210, and ultimately, to search in the search input window 220. Enter a search term. Then, the search engine 130 searches for the corresponding search word and expresses the processing result to the user 110 through the search input window 220.

As described above, in the conventional web search method, most of the keyword-based search processing is performed, and the search result is input through only one or two words due to the habits of search users.

Let's look at the problem with the general web. According to the Korea Internet & Security Agency, in December 2004, the number of domestic Internet users reached 3,257 million, accounting for 71.9% of the total population. As the Internet, which has grown at such a rapid rate, has brought various changes not only to academic activities of researchers but also to the daily lives of the general public, the interest is gradually increasing as the interest of academics as well as the use of general users are expanded.

In addition, in recent years, interest in research on the semantic web to overcome the limitations of the display center of the existing web has been increasing. The semantic web gives semantics to information that exists in the Internet space using semantic web technologies such as ontology, allowing software agents to understand the meaning of the document and to recognize state information to judge appropriate actions on their own. .

However, despite the rapid development of the web environment and the development of various search engines, in general, when a web user performs a search task, most of them mainly use a simple search that stays in the input of one or two words. In other words, even though advanced search (composite arithmetic or complex query search) provided by a search engine or rich search terms may provide better results in order to improve search results, advanced search is not used well.

This is because users are basically cognitive misers with the desire to process given information quickly and efficiently. Users instinctively try to choose something that has a low cognitive load. Therefore, in the current web search, it is necessary to understand what points put a cognitive burden on the user and what are the ways to solve them.

In other words, the web search user performs the search in a lazy manner. Rather than using advanced search to find the desired search results more effectively, simple search with less cognitive burden is used. Thus, in order for the user to use the advanced search function, the motivations to use it are needed. The motivation is that the search can be performed in a way that maximizes the benefit while minimizing the cost in the relationship Value = F (Cost, Benefit). Here, it is possible to increase the user's value in web search when the cost is minimized and the profit can be maximized. Through this, in order to solve the problem of internet search based on the current keyword and search frequency, how to input additional search words in semantic web based search which is raised as a new technology will increase the value while minimizing the cognitive burden in the search. I need a way to see if I can.

The present invention has been proposed to solve the above problems and to meet the above requirements, and records a semantic web cube interface device and a method and a program for realizing the method for easily inputting a plurality of search terms for semantic-based search. Its purpose is to provide a computer readable recording medium.

That is, the present invention supports a semantic web search (semantic web search omnidirectional method) by recommending a search query based on an attribute-based cube interface, and / or a search actual value through a search input window. A semantic web cube interface device and a method thereof and a program for realizing the method for supporting semantic web search (semantic web search backwards) by recommending a search query by interacting with a cube attribute Its purpose is to provide a computer readable recording medium having recorded thereon.

Other objects and advantages of the present invention can be understood by the following description, and will be more clearly understood by the embodiments of the present invention. Also, it will be readily appreciated that the objects and advantages of the present invention may be realized by the means and combinations thereof indicated in the claims.

According to an aspect of the present invention, there is provided a semantic web cube interface device for forward search, comprising: a face / property selection unit for allowing a semantic web search user to select a face and an attribute; A recommendation processing unit for recommending a search query by analyzing the surfaces and attributes selected by the surface / attribute selection unit; And a search request and a result output unit for requesting a semantic web search according to the query recommended by the recommendation processor or requesting a semantic web search and outputting the semantic web search result according to the query modification or regeneration process. .

According to another aspect of the present invention, there is provided a semantic web cube interface device for backward search, comprising: an attribute / value input unit for receiving an attribute / value from a semantic web search user; A recommendation processing unit for recommending a search query after analyzing a surface and an attribute input through the attribute / value input unit and recommending the surface / attribute according to the analysis result and performing a modification or regeneration process; And a search request and a result output unit for requesting a semantic web search according to the query recommended by the recommendation processor and outputting the semantic web search result accordingly.

On the other hand, the method of the present invention for achieving the above object, the semantic web cube interface method, comprising: a selection step for the semantic web search user to select the attributes of each side of the cube; Recommending a search query by analyzing the selected surface and attributes; Displaying the recommended search query word; A determination step of determining a type of a signal received from a semantic web search user; Requesting the semantic web search and outputting the semantic web search result according to the decision result of the determining step in response to the query match signal; If the determination result of the determination step is a plane / property reselection signal, proceeding to the selection step; And if the query result modification request signal is determined as a result of the determining, outputting a semantic web search result according to requesting a semantic web search after modifying the query word.

According to another aspect of the present invention, there is provided a semantic web cube interface method comprising: an input step of receiving a query word from a semantic web search user; Displaying the query word input from the semantic web search user and the attributes of the cube in a cell of the cube; A determination step of determining a type of a signal received from the semantic web search user; Requesting the semantic web search and outputting the semantic web search result according to the determination result of the determining step in response to the attribute matching signal; If the determination result of the determination step is a query re-input signal, proceeding to the input step; And requesting a semantic web search after modifying an attribute and outputting the semantic web search result according to the result of the determination in the determining step as a property modification request signal.

Another method of the present invention for achieving the above object is a semantic web cube interface method comprising the steps of: allowing the semantic web search user to select a face and attributes; A first recommendation step of recommending a search query by analyzing the selected surface and attributes; Requesting a semantic web search according to the query recommended in the first recommendation step or performing a query modification or regeneration process and requesting a semantic web search to output a semantic web search result accordingly; Receiving an attribute / value from the semantic web search user; A second recommendation step of recommending a search query after analyzing the input face and attributes and recommending the face / property according to the analysis result and performing a modification or regeneration process; And requesting a semantic web search according to the query term recommended in the second recommendation step and outputting a semantic web search result accordingly.

On the other hand, the present invention, a semantic web cube interface device having a processor, a selection function for the semantic web search user to select the attributes of each side of the cube; Recommending a search query by analyzing the selected surface and attributes; Displaying the recommended search query word; A determination function of determining a type of a signal received from a semantic web search user; A function of requesting a semantic web search and outputting a semantic web search result if the decision result in the determination function is a query match signal; A function of proceeding to the selection function if the determination result of the determination function is a plane / property reselection signal; And a computer-readable recording medium recording a program for realizing a function of requesting a semantic web search after modifying a query after outputting a query request correction signal as a result of the determination in the determination function. To provide.

The present invention also provides a semantic web cube interface device having a processor, comprising: an input function for receiving a query word from a semantic web search user; Displaying a query word received from the semantic web search user and an attribute of a cube and displaying the same in a cell of the cube; A determination function of determining a type of a signal received from the semantic web search user; A function of requesting a semantic web search and outputting a semantic web search result if the judgment result of the determination function is an attribute matching signal; A function for proceeding to the input function if the query result re-input signal is determined as the determination function in the determination function; And a computer-readable recording medium recording a program for realizing a function of requesting a semantic web search after modifying an attribute and outputting the semantic web search result according to the determination result of the determination function. To provide.

The present invention also provides a semantic web cube interface device having a processor, the semantic web search user selecting a face and an attribute; A first recommendation function for recommending a search query by analyzing the selected surface and attributes; Requesting a semantic web search according to the query recommended by the first recommendation function or performing a query modification or regeneration process and then requesting a semantic web search and outputting a semantic web search result accordingly; Receiving an attribute / value from the semantic web search user; A second recommendation function that analyzes the input face and attributes and recommends a search query after recommending the face / attribute according to the analysis result and then performing a modification or regeneration process; And a computer-readable recording medium recording a program for realizing a function of requesting a semantic web search according to the query term recommended by the second recommendation function and outputting a semantic web search result.

The above objects, features and advantages will become more apparent from the following detailed description taken in conjunction with the accompanying drawings, whereby those skilled in the art may easily implement the technical idea of the present invention. There will be. In addition, in describing the present invention, when it is determined that the detailed description of the known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

3 is a configuration diagram of an embodiment of a semantic web search system to which the present invention is applied.

As shown in FIG. 3, the user 310 requests a semantic based search from the semantic web search engine 330 through the cube interface device 320. Then, the semantic web search engine 330 receives the user's search term so that the semantic agent 331 performs the natural language processing in the natural language processing unit 332 and the inference processing in the inference engine 333 to perform the semantic based search. The search result is then provided to the user through the cube interface device 320. In this case, unlike the conventional general search in which only one word may be input for the semantic web search, a plurality of search terms for the semantic based search must be input. That is, two or more words must be entered.

In the semantic web environment, the semantic agent 331 may use a semantic web environment resource while recognizing environmental state information, thereby enabling a semantic approach. That is, the semantic web gives meaning to a document so that the semantic agent 331 can recognize the meaning of a document that becomes environmental state information and perform automatic tasks or communicate between semantic agents through a standard sharing object such as ontology. By providing a smooth implementation, we provide an environment structure for the advanced semantic agent. This approach is possible through a software agent that accurately understands the user's intentions and provides intelligent and automatic service to the user.

The natural language processor 332 receives a sentence-level natural language query rather than a simple keyword search, converts it into a formal language, provides the semantic agent 331, and serves as a natural language interface for generating a natural language response from the formal language. do. The inference engine 333 is an engine that processes inference techniques such as rule-based inference and fact-based inference. As a result, the semantic web search engine 330 performs inference by referring to the ontology and metadata of the ontology repository 340.

4 is a diagram illustrating a concept of a semantic web cube interface device according to the present invention.

The semantic web cube interface device according to the present invention is a cube omnidirectional method, and / or a query word that allows a user to select a property of a cube and then recommends and confirms a query word based on the selected property and then performs a semantic web search. After entering a search input value in the input window, the user can interact with the properties of the cube interface to recommend and confirm a query, and then perform a semantic web search. That is, the semantic web cube interface device according to the present invention may be implemented in a cube omnidirectional manner, a cube backward omnidirectional manner, or may be implemented to support both a cube omnidirectional manner and a cube backward manner.

As shown in FIG. 4, the cube interface device 410 has a cube-shaped cube, and each cell of the cube interface device 410 has a high frequency of attributes corresponding to the elements of the ontology. For example, a film consists of a title, actor information, preference, screening grade, theater, awards, production year, cast information, genre, etc., and the character side includes name, gender, date of birth, occupation, blood type, award The cell is composed of career, works, spouses, etc., and the cell is composed of theater name, location, movie, screening schedule, facilities, reservation rate, etc. Can be configured dynamically.

Here, the cube omnidirectional method is suitable when the search user does not know the specific search input value. That is, in the cube omnidirectional method, a search user selects a representative property to search through a semantic web cube interface, and then recommends and modifies a search query based on the selected representative property through an existing search window. To support semantic web searches. For example, if you select the movie title, genre, or person blood type in the cube properties, the search query 420 recommended in the search box will say “The movie title is () and the genre is (). Is a way to allow the user to perform a final search after an additional input / modification (440). That is, a method of performing a search using a query input method that minimizes a user's input by recommending an optimal query 420 according to the selection 410 of various attributes. However, the query recommendation 420 may be processed through rule or fact-based reasoning in the inference engine 333 based on the selected attribute.

Next, the cube backwards method is suitable when the search user knows the specific actual search input value. In other words, the cube backward method supports semantic web search after entering a search input value in the query input window and recommending and confirming a query by interacting with the attributes of the cube interface. For example, in the query input window 440, “What is the title of the movie in which Seol Kyung-gu appeared?”, The semantic agent 331 causes the natural language processor 332 to perform morphological analysis of the input content. In addition, the attribute matching considering the ontology information of the ontology store 340 is performed through the inference engine 333. That is, the content input in the query input window 440 interacts with the name cell of the person face and the title cell of the movie face to invert the corresponding cell or display a specific cell to display the query word and the corresponding cube. The search is performed after visually confirming whether the property cell matches (420). The reason for this check is to perform the search based on the accuracy and meaning of the search results.

5 is a block diagram of an embodiment of a semantic web cube interface device for a forward search according to the present invention.

As shown in FIG. 5, the semantic web cube interface device for a forward search according to the present invention selects a target (target) attribute face, a corresponding attribute, an auxiliary attribute face, and an auxiliary attribute to a semantic web search user. In the recommendation processor 520, and the recommendation processor 520, the recommendation processor 520 for recommending the optimal query word by analyzing the plane and the attribute selected by the plane / property selector 510. A search request and a result output unit 530 for requesting a semantic web search according to the recommended query or performing a query modification or regeneration process and then requesting a semantic web search and outputting the semantic web search result accordingly.

In this case, the face / attribute selector 510 may include a target attribute face selector 511 and a target attribute face selector 511 to allow a semantic web search user to select a target face having an attribute to be found in a cube interface. ) And a variety of auxiliary property planes for modifying the target plane selected by the corresponding property selector 512 and the target property plane selector 511 to select a desired property from various representative attributes displayed on the target plane selected in the An auxiliary property surface selector 513 for additionally selecting a second and an auxiliary property selector 514 for additionally selecting various auxiliary properties capable of modifying the property selected by the corresponding property selector 512. do.

Here, the components of the surface / attribute selection unit 510 will be described in more detail as follows.

First, let the search user select the target face whose attributes you want to find in the cube interface.

For example, if you want to ask the question, "Which movie does 000 appear in?" At this time, if the attribute surface to be selected faces the front, the attribute can be selected immediately. If the target surface is not the target surface to be searched, change the surface of the cube with a mouse or the like, or select the surface to be searched using the right rotation button. In other words, the rotation button is used to find the side to which the property to be found belongs.

Since various representative attributes are displayed on the selected target surface, a desired attribute is selected from these.

For example, if the genre of the movie to be searched for is comic, the genre can be selected from the displayed properties and double-clicked or the down arrow of the right search button can select the next sub attribute of the genre.

In other words, the Search button can be used to search for a property that is not displayed as a representative property, as well as to find an upper or lower property of the property to be searched. It supports the selection of more detailed attributes. Of course, the above functions can be implemented with a mouse alone.

Subsequently, in addition to the target property plane or property, various auxiliary property planes and auxiliary properties that can modify the target plane and the property may be additionally selected to select various queries from the cube interface.

The recommendation processor 520 may further include a selection plane / property analyzer 521 for analyzing a target plane, an attribute, an auxiliary property plane, and an auxiliary property selected by the plane / attribute selection unit 510, and the selection plane. It includes an optimal query recommendation unit 522 for recommending the optimal query to search users according to the analysis result in the / attribute analysis unit 521.

The search request and result output unit 530 may include a recommendation query display unit 531 and a recommendation query display unit 531 for displaying the query word recommended by the recommendation processor 520 in a search input window. Recommendation query corrector 532 to allow the search user to modify the query displayed by the user or to perform the query regeneration process, and the semantic web search can be executed at the same time as the search request button from the semantic web search user is clicked. Search execution request unit 533 for requesting, a real query generation unit 534 for generating a real query and performing a semantic web search through an inference engine and ontology, and a semantic web search retrieved through the inference engine and ontology Search result display unit 535 for displaying results in a search result window It includes.

6 is a block diagram of an embodiment of a semantic web cube interface device for backward searching according to the present invention.

As shown in FIG. 6, the semantic web cube interface device for backward search according to the present invention includes an attribute / value input unit for receiving an auxiliary attribute / value and a target attribute / value from a semantic web search user ( 610) recommends the optimal query face after the modification or regeneration process by recommending the optimal target face / property and auxiliary face / property by analyzing the face and attributes inputted through the attribute / value input unit 610. The processor 620 includes a search request and a result output unit 630 for requesting a semantic web search according to a query recommended by the recommendation processor 620 and outputting a semantic web search result.

In this case, the attribute / value input unit 610 may be an auxiliary attribute / value input unit 611 for receiving an auxiliary attribute / value to be searched for from the semantic web search user in the cube interface, and a semantic web search user to search for the cube interface from the semantic web search user. And a target attribute / value input unit 612 for receiving a target attribute / value.

In addition, the recommendation processor 620 may include an input surface / attribute analyzer 621 for analyzing an auxiliary attribute / plane input through the attribute / value input unit 610 and a target attribute / plane, and the input surface / attribute analysis. According to the analysis result in the section 621, the optimum plane / attribute recommendation unit 622 for recommending the optimal target plane / attribute and the auxiliary plane / attribute, recommended by the optimum plane / attribute recommendation unit 622 The surface / attribute display unit 623 for displaying the optimum target plane / attribute and the auxiliary plane / attribute, and the surface / attribute displayed by the plane / attribute display unit 623 for the search user to modify or reenter the process. A recommendation face / attribute corrector 624 for performing an operation, an optimal query recommender 625 for recommending an optimal query to be searched by a search user according to the processing result of the recommendation face / attribute corrector 624, And the optimal query recommendation unit 625. And a query term like the display unit 626 for the display period (display) the recommended query term in the search input window.

The search request and result output unit 630 may perform a search execution request unit 631 and an actual query to request a semantic web search at the same time the search execution button is clicked, that is, in response to a search request from the semantic web search user. A real query generator 632 for generating and performing a semantic web search through the inference engine and the ontology, and a search for displaying the semantic web search results searched through the inference engine and the ontology in a search result window The result display unit 633 is included.

Here, the components of the semantic web cube interface device for backward searching will be described in more detail as follows.

First, a semantic web search user inputs two or more search words or sentences to search for in a search input box. In this case, auxiliary attributes / values corresponding to modifiers are first inputted in Korean characteristics, and then target attributes / values are input next. For example, the part corresponding to the modifier is entered at the beginning and the object to be searched is entered at the end, such as "What about the sad movie title that ooo appears?".

Then, the received surface / property is analyzed. The target face / attribute and the auxiliary face / attribute are found from the input attribute / value and displayed on the cube interface. In other words, it highlights the attribute cell and the side to which the value of the corresponding search word belongs and outputs the search user so that the search user can check whether the input contents match the attributes of the cube interface. The reason for doing this is to perform the search by confining the property or face to the cube interface for a more accurate search.

If you need to modify it, use "Recommended face / property correction" to modify the face / property of the cube interface. After that, the best query is recommended. That is, the optimal search query recommended in the search input window is displayed. The recommended query is displayed in the search input box.

Subsequently, the search user requests a semantic web search at the same time as clicking the search execution button, and generates a real query to perform the semantic web search through the inference engine and the ontology. Thereafter, the semantic web search result searched through the inference engine and ontology is displayed in a search result display window.

Next, the sequential operation of the present invention will be described with reference to FIGS. 7 and 8, but specific embodiments thereof are the same as those described with reference to FIGS. 5 and 6.

7 is a flowchart illustrating an embodiment of a semantic web cube interface method for forward searching according to the present invention.

First, the semantic web search user is allowed to select as many attributes of each side of the cube as desired (710). That is, a target (target) attribute plane, a corresponding attribute, an auxiliary attribute plane, and an auxiliary attribute are selected from the semantic web search user.

Then, the query is recommended based on the selected face and attributes (720). That is, the optimal query is recommended by analyzing the selected surface and attributes.

Thereafter, the recommended optimal query is displayed on the query display window (730).

Accordingly, the semantic web search determines whether the signal input by the user matches the intended query (740). If the signal matches the intended query, the semantic web search is requested (750). It outputs to the web search user (760). Of course, when performing a search, the search may be performed by modifying a related search query.

On the other hand, if the determination result 740, a signal indicating that the signal input by the semantic web search user does not match the intended query, i.e., if it is not the intended query, it is determined whether it is a modification request signal or a reselection signal (770). If the signal is a reselection, the process proceeds to the process of selecting attributes of each side of the cube (710), and if the signal is a modification request, after modifying the query according to the request content (780), it is determined whether it matches the intended query. The process proceeds to step 740 to perform the following process.

8 is a flowchart illustrating an embodiment of a semantic web cube interface method for backward searching according to the present invention.

First, a specific query is desired through a query input window (810). That is, the semantic web search user receives the auxiliary attribute / value and the target attribute / value through the query input window.

Thereafter, the input query is matched with the cube attribute, and the interaction such as highlighting is displayed in the cell so that the user can input a visual confirmation that the query term and the cube attribute (each cell) match.

Accordingly, the semantic web search user determines whether the signal input by the user matches the intended attribute (830). If the signal matches the intended attribute, the semantic web search is requested (840). It outputs to the web search user (850). Of course, when performing a search, the search may be performed by modifying a related search query.

On the other hand, if the determination result 830, a signal indicating that the signal input by the semantic web search user does not match the intended attribute, that is, if it is not the intended attribute, it is determined whether it is a modification request signal or a re-input signal (860). If the input signal is a re-input signal, the process proceeds to a process of receiving a query (810), and the subsequent process is performed. If the modification request signal is corrected according to the request content (870), it is determined whether the property matches the intended property (830). Proceed to) to perform the following process.

FIG. 9 illustrates an example of each face and a cell of a cube corresponding to a representative attribute among ontology and metadata information stored in an ontology repository.

As shown in FIG. 9, three surfaces of cubes are used as a movie plane, a person plane, and a theater plane, and a movie plane representative property, a person plane representative character, and a theater plane representative theater property. Is illustrated. At this time, each side may be added, the cells of each side can be segmented. For example, after selecting a cell in the cube interface 410 of FIG. 4, a search may be further selected to select detailed properties of the corresponding cell. As a specific example, if a genre cell is selected on a movie surface and a search icon is used, the cube, the sub-cells of the genre, such as comic, romance, and action, may be shown. The properties of the cube can be variously selected through up, down, left, right, and rotation.

On the other hand, it is apparent that the semantic web search method of the present invention as described above (implemented to easily input a plurality of search terms for meaning-based search) may be implemented and used together with the existing general search method (single word input). something to do. That is, in the above-mentioned front and rear direction search method, the representative attribute of the ontology is displayed on the cube interface, so that the semantic web search as well as the general web search can be implemented.

As described above, the method of the present invention may be implemented as a program and stored in a recording medium (CD-ROM, ROM, RAM, floppy disk, hard disk, magneto-optical disk, etc.) in a computer-readable form. Since this process can be easily implemented by those skilled in the art will not be described in more detail.

The present invention described above is capable of various substitutions, modifications, and changes without departing from the technical spirit of the present invention for those skilled in the art to which the present invention pertains. It is not limited by the drawings.

As described above, the present invention minimizes input time, cognitive burden, and psychological burden corresponding to the cost of search to search users, and maximizes the effectiveness and convenience of the search benefits. It has an effect.

As described above, the present invention can solve the frustration and boredom of the general search users, and can provide the semantic web search users with the benefit of saving the search input time and reducing the input effort. It is also suitable for semantic web search users.

In other words, the present invention provides a semantic web search interface device suitable for a semantic web user as well as a general user who mainly uses a complex search, which is interesting for general web users and efficient / economical for semantic web users.

Claims (17)

In the semantic web cube interface device for forward search, A face / attribute selector for allowing a semantic web search user to select face and attributes; A recommendation processing unit for recommending a search query by analyzing the surfaces and attributes selected by the surface / attribute selection unit; And A search request and a result output unit for requesting a semantic web search according to the query recommended by the recommendation processor or requesting a semantic web search after outputting a semantic web search or outputting a semantic web search result accordingly. The semantic web cube interface device for a forward search, including. The method of claim 1, The surface / property selection unit, A target attribute plane selection unit for allowing the semantic web search user to select a target (target) plane having an attribute to be found in a cube interface; A corresponding attribute selector for selecting a desired attribute from various representative attributes displayed on the target surface selected by the target attribute surface selector; An auxiliary property plane selection unit for additionally selecting various auxiliary property planes that can modify the target plane selected by the target property plane selection unit; And Auxiliary property selector for additionally selecting various auxiliary properties that can modify the property selected by the corresponding property selector The semantic web cube interface device for a forward search, including. The method according to claim 1 or 2, The recommendation processing unit, A selection plane / attribute analyzer for analyzing a plane and attributes selected by the plane / attribute selecting unit; And Query recommendation unit for recommending a search query to be searched by the search user according to the analysis result in the selection surface / attribute analysis unit The semantic web cube interface device for a forward search, including. The method of claim 3, wherein The search request and result output unit, A recommended query display unit for displaying a query recommended by the query recommender in a search box; A recommended query corrector for causing the semantic web search user to modify the query displayed by the recommended query display unit or to perform a query regeneration process; A search performing request unit for requesting a semantic web search according to a search request from the semantic web search user; A real query generation unit for generating a real query and performing a semantic web search through an inference engine and an ontology; And Search result display unit for displaying the semantic web search results found through the inference engine and the ontology in the search box The semantic web cube interface device for a forward search, including. The method of claim 4, wherein The cube interface device, A semantic web cube interface device for forward search, which is implemented using a cube capable of displaying representative attributes of an ontology on each side so that a plurality of search terms for semantic search can be easily entered. In the semantic web cube interface device for backward search, An attribute / value input unit for receiving an attribute / value from a semantic web search user; A recommendation processing unit for recommending a search query after analyzing a surface and an attribute input through the attribute / value input unit and recommending the surface / attribute according to the analysis result and performing a modification or regeneration process; And Search request and result output unit for requesting semantic web search according to the query recommended by the recommendation processor and outputting semantic web search results accordingly The semantic web cube interface device for a backward search, including. The method of claim 6, The attribute / value input unit, An auxiliary property / value input unit for receiving an input of an auxiliary property / value to be found in a cube interface from the semantic web search user; And Target attribute / value input unit for receiving a target attribute / value to be searched for in the cube interface from the semantic web search user The semantic web cube interface device for a backward search, including. The method according to claim 6 or 7, The recommendation processing unit, An input plane / property analyzer for analyzing an auxiliary property / plane and a target property / plane received through the property / value input unit; A plane / attribute recommender for recommending a target plane / attribute and an auxiliary plane / attribute according to the analysis result in the input plane / attribute analyzer; A plane / property display unit for displaying a target plane / property and an auxiliary plane / property recommended by the plane / property recommender; A recommendation face / property corrector for causing the semantic web search user to modify or perform a re-entry process on the face / attribute displayed by the facet / property display; A query recommendation unit for recommending a search query to be searched by the semantic web search user according to a processing result of the recommendation surface / attribute correction unit; And Recommended query display unit for displaying a query recommended by the query recommendation unit in a search box The semantic web cube interface device for a backward search, including. The method of claim 8, The search request and result output unit, A search performing request unit for requesting a semantic web search according to a search request from the semantic web search user; A real query generation unit for generating a real query and performing a semantic web search through an inference engine and an ontology; And Search result display unit for displaying the semantic web search results found through the inference engine and the ontology in the search box The semantic web cube interface device for a backward search, including. The method of claim 9, The cube interface device, A semantic web cube interface device for backward search, which is implemented by using a cube that can display representative attributes of the ontology on each side so that a plurality of search terms for semantic search can be easily entered. In the semantic web cube interface method, An optional step of allowing the semantic web search user to select an attribute of each side of the cube; Recommending a search query by analyzing the selected surface and attributes; Displaying the recommended search query word; A determination step of determining a type of a signal received from a semantic web search user; Requesting the semantic web search and outputting the semantic web search result according to the decision result of the determining step in response to the query match signal; If the determination result of the determination step is a plane / property reselection signal, proceeding to the selection step; And As a result of the determination in the determining step, requesting the semantic web search after modifying the query after outputting the query, and outputting the semantic web search result accordingly; Semantic web cube interface method comprising a. In the semantic web cube interface method, An input step of receiving a query from a semantic web search user; Displaying the query word input from the semantic web search user and the attributes of the cube in a cell of the cube; A determination step of determining a type of a signal received from the semantic web search user; Requesting the semantic web search and outputting the semantic web search result according to the judgment result of the determining step if the attribute match signal; If the determination result of the determination step is a query re-input signal, proceeding to the input step; And As a result of the determination in the determining step, requesting the semantic web search after modifying the property if the property modification request signal is output, and outputting the semantic web search result accordingly; Semantic web cube interface method comprising a. In the semantic web cube interface method, Allowing the semantic web search user to select faces and attributes; A first recommendation step of recommending a search query by analyzing the selected surface and attributes; Requesting a semantic web search according to the query recommended in the first recommendation step or performing a query modification or regeneration process and requesting a semantic web search to output a semantic web search result accordingly; Receiving an attribute / value from the semantic web search user; A second recommendation step of recommending a search query after analyzing the input face and attributes and recommending the face / property according to the analysis result and performing a modification or regeneration process; And Requesting a semantic web search according to the query term recommended in the second recommendation step and outputting a semantic web search result accordingly Semantic web cube interface method comprising a. The method according to any one of claims 11 to 13, The cube is, A semantic web cube interface method characterized in that it is implemented to display a representative attribute of the ontology on each side to facilitate input of a plurality of search terms for semantic based search. In the semantic web cube interface device having a processor, A selection function for allowing the semantic web search user to select an attribute of each side of the cube; Recommending a search query by analyzing the selected surface and attributes; Displaying the recommended search query word; A determination function of determining a type of a signal received from a semantic web search user; A function of requesting a semantic web search and outputting a semantic web search result if the decision result in the determination function is a query match signal; A function of proceeding to the selection function if the determination result of the determination function is a plane / property reselection signal; And As a result of the determination in the determination function, if a query for modifying a query is requested, a function for requesting a semantic web search after modifying a query and outputting a semantic web search result accordingly; A computer-readable recording medium having recorded thereon a program for realizing this. In the semantic web cube interface device having a processor, An input function for receiving a query from a semantic web search user; Displaying a query word input from the semantic web search user and an attribute of a cube and displaying the same in a cell of the cube; A determination function of determining a type of a signal received from the semantic web search user; A function of requesting a semantic web search and outputting a semantic web search result if the judgment result of the determination function is an attribute matching signal; A function for proceeding to the input function if the query result re-input signal is determined as the determination function in the determination function; And As a result of the determination in the determination function, if a property modification request signal is received, a function for requesting a semantic web search after modifying an attribute and outputting a semantic web search result accordingly; A computer-readable recording medium having recorded thereon a program for realizing this. In the semantic web cube interface device having a processor, Allowing the semantic web search user to select faces and attributes; A first recommendation function for recommending a search query by analyzing the selected surface and attributes; Requesting a semantic web search according to the query recommended by the first recommendation function or performing a query modification or regeneration process and then requesting a semantic web search and outputting a semantic web search result accordingly; Receiving an attribute / value from the semantic web search user; A second recommendation function that analyzes the input face and attributes and recommends a search query after recommending the face / attribute according to the analysis result and then performing a modification or regeneration process; And A function for requesting a semantic web search according to the query term recommended by the second recommendation function and outputting a semantic web search result accordingly. A computer-readable recording medium having recorded thereon a program for realizing this.

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