Abstract:
본 발명에 의한 어휘망을 이용한 질의어 확장 시스템 및 그 방법과 그 방법에 대한 컴퓨터 프로그램을 저장한 기록매체에 관한 것으로, 사용자가 웹에서 질의어를 입력하면 입력한 질의어를 검색하기 이전에 질의어와 유사한 형태로 쓰이는 대역어, 동의어, 연관어, 형제어, 상위어, 하위어, 뜻풀이 등을 질의어에 첨부하여 질의 확장 방법으로 검색을 자동 수행함으로써, 사용자가 원하는 검색결과를 도출하고 검색 수행 시간 및 노력을 줄일 수 있다. 이를 위한 본 발명에 의한 어휘망을 이용한 질의어 확장 방법은, (a) 단어의 대역어, 동의어, 연관어, 형제어, 상위어, 하위어, 뜻풀이 등을 각각 분류하여 어휘망 데이터베이스(DB)에 저장하는 단계와; (b) 웹 인터페이스를 통해 사용자로부터 질의어를 입력받는 단계와; (c) 상기 입력된 질의어와 유사한 형태로 쓰이는 대역어, 동의어, 연관어, 형제어, 상위어, 하위어, 뜻풀이 등을 상기 어휘망 데이터베이스(DB)에서 검색하여 그 결과(검색어)를 상기 질의어에 자동 첨부하는 단계; 및 (d) 상기 질의어와 상기 질의어에 첨부된 검색어를 기초로 검색을 자동 수행하여 그 결과를 출력하는 단계;를 포함하는 것을 특징으로 한다. 웹, 검색, 질의어(단어), 사이트, 어휘망
Abstract:
A system and a method for analyzing morphemes of Hangul for automatic indexing are provided to index a large size of data automatically and efficiently to maximize a word analysis speed, and modularize and structure a morpheme analyzer. A dictionary manager(100) manages an analysis dictionary by managing a dictionary database. A morpheme analyzer(200) performs a morpheme analysis by receiving an analysis dictionary management result, and modularizing more than one of uninflected word, inflected word, numeric word, non-registration, independent word, and morpheme analyses. An index provider(300) provides an index by receiving a morpheme analysis result from the morpheme analyzer. The dictionary manager manages more than one of a part-of-speech dictionary, a functionality dictionary, and a form morpheme dictionary as the analysis database. The morpheme analyzer includes an uninflected word analyzing module(210), an inflected word analyzing module(220), a numeric word analyzing module(230), a non-registration analyzing module(240), an independent word analyzing module(250), and a type morpheme analyzing module(260).
Abstract:
PURPOSE: A scheme matching device and a method thereof are provided to accurately determine a response relation between terminal nodes in a scheme by measuring similarity through location and matching relations between nodes. CONSTITUTION: A scheme parser(110) generates a hierarchical structure by parsing a target scheme. A language similarity measuring unit(120) measures a language similarity value between terminal nodes in the hierarchical structure. A terminal node matching unit(130) selects a matched terminal node and determines a response relation of the terminal nodes by using the language similarity value. If two or more terminal nodes are selected, a structure similarity measuring unit(140) obtains a neighboring node similarity value and a path similarity value of the terminal nodes. The terminal node matching unit selects a matching terminal node having the biggest similarity value and determines the response relation. [Reference numerals] (100) Scheme matching device; (110) Scheme parser; (120) Language similarity measuring unit; (130) Terminal node matching unit; (140) Structure similarity measuring unit; (160) Matching node information DB
Abstract:
PURPOSE: A framework for scientific knowledge discovery is provided to create an advanced scientific knowledge using a grid computing technology. CONSTITUTION: A globus toolkit(300) constitutes a grid environment and a database about a large capacity resources and integrally manages the computing resources. A SINDI(Scientific INtelligence DIscovery) core(200) automatically recognizes and classifies scientific technique document from the database, extracts a core technique, and reports interactions among the techniques. A SINDI workflow unit(500) creates a work flow in order to extract knowledge which a user wants to find using the database and the core techniques.
Abstract:
PURPOSE: A semi-automatic construction framework for a test collection is provided to reduce the load for constructing work and the deviation of the result by automating some standardized construction processes. CONSTITUTION: An automatic process unit(200) systematically processes a syntactic and a semantic characteristic of a document and creates triple. The triple is composed of specialized terms and relation candidate groups. A manual process unit(300) offers the triple to a constructor terminal and receives a triple which is selected by the constructor. A test collection builder(400) receives the selected triple, construct a test collection, and stores the test collection to a database unit(500).
Abstract:
PURPOSE: A method for extracting a semantic associative relation of context based on syntax analysis of whole document, a device thereof and a recording medium storing a program source are provided to extract the semantic associative relation of context based on syntax analysis of whole document, thereby enabling to connect to UPK(Undiscovered Public Knowledge). CONSTITUTION: A TRS(Tech Retrieval System)(110) manages whole data which recognition of the technical terms are completed and provides searching service in different modules. A TAS(Tech Acquisition System)(150) searches the technical terms based on a dictionary from data of the TRS and extracts new terms. A TLA(Tech Language Analyzer)(180) does chunking and tagging the source document to conveniently extract the relation between technical terms recognition and relation. A TAMA(Tech Association Mining Appliance)(170) analyzes the document by construction through the TLA and extracts a semantic associative relation of context and performs conceptualizing based on word net. A SATT(Semi-Automatic Tech-Tracking Engine)(160) has semantic associative relation and provides many services.
Abstract:
PURPOSE: A query language automatic input system and a method thereof, and a recording medium for computer program for the same are provided to reduce the search time and efforts and offer wide information to a user by using database which is constructed by the topic list included in a web document, and a blog and a thesis. CONSTITUTION: The query language is inputted to a web interface(10) from the user. An input query processor(20) searches the topic list used with the query language from the topic database(30), and transmits the result to the web interface with the converted XML(eXtensible Markup Language) format. The topic database stores the topic list extracted from a web document, and a blog and a thesis by the input query processor.
Abstract:
PURPOSE: A query extending system and method using the lexicon network and a recording medium for the computer program for the same are provided to enable a user to extract the search result and shorten the searching time and efforts. CONSTITUTION: The query language is inputted to the web interface(10) from the user. The query language recognizer(20) recognizes the query language inputted through the web interface. A lexicon network searcher(30) extracts search words written in the form in which it is similar to the query language from the lexicon network database(40). A query term extender(50) receives the search result from the lexicon network database and the query language, and attaches the query language to the query language. The query term extender performs the auto search based on the expanded query language and sends the result to the web interface.
Abstract:
PURPOSE: An extracting device for a semantic technological term of a high-capacity database is provided to rapidly perform technical examination, examination, and decision by searching/tracing the associative relations of the technological information, time series analysis, and classification in a real time. CONSTITUTION: An ARM(Acquisition Rule Manager) unit extracts a query language. The extracted query language is provided as a TRS(Tech Retrieval System) unit(S110). The TRS unit provides the document group of the designated technology and posting information to an analysis unit(S120). The analysis unit registers the new and seed technological term to the knowledge database(S130,S140). The document group and the information of the knowledge database is provided to a tracking unit and the related technology is traced. The traced information is outputted with a document.
Abstract:
A method and a system for providing the information of a study which is suitable to a user concerning the relative field of the user based on a level are provided to reduce the difficulty of metabolism researchers generated in the study start in a special field. A communication unit(210) performs communication with a client. If interesting field selection information is received through the communications unit, a detailed field search unit(230) extracts the detailed field information about the field of interest. The detailed field searcher produces a user profile information input picture including the detailed field list among the extracted detailed field information. If the user profile information is received from client, a study order information generating unit(240) performs the filtering operation based on inside of the user profile information the special knowledge extent. The research order information generator produces the research order information about the field of interest.