Abstract:
본 발명은 토픽정보를 이용한 질의어 자동 입력 시스템 및 그 방법과 그 방법에 대한 컴퓨터 프로그램을 저장한 기록매체에 관한 것으로, 웹 문서나 블로그, 논문자료에 포함된 토픽(키워드) 리스트를 추출하여 데이터베이스로 구축하고, 사용자 질의어가 입력되었을 경우 질의어와 같이 입력된 토픽 리스트를 검색하여 그 결과를 검색창 하단에 리스트 형태로 보여줌으로써, 사용자가 특정 문서를 찾고자 할 때 폭넓은 정보를 제공하고, 검색 수행 시간 및 노력을 줄일 수 있다. 이를 위한 본 발명에 의한 토픽정보를 이용한 질의어 자동 입력 방법은, (a) 웹 문서, 블로그, 논문자료에 포함된 토픽(키워드) 리스트를 입력질의어처리기에서 추출하여 토픽 데이터베이스(DB)로 구축하는 단계와; (b) 웹 인터페이스를 통해 사용자로부터 질의어를 입력받는 단계와; (c) 상기 입력된 질의어와 함께 사용된 토픽 리스트를 상기 입력질의어처리기에서 상기 토픽 데이터베이스(DB)를 통해 검색하는 단계와; (d) 상기 검색된 결과를 상기 입력질의어처리기에서 엑스엠엘(XML) 형태로 변환하여 상기 웹 인터페이스에 제공하는 단계; 및 (e) 상기 웹 인터페이스에서 질의어 검색창 하단에 질의어와 관련된 토픽 리스트를 제공하는 단계;를 포함하는 것을 특징으로 한다. 웹, 검색, 질의어(단어), 토픽, 정보, 사이트, 문서, 논문
Abstract:
본 발명은 제목, 저자, 초록정보를 이용한 질의어 자동 입력 시스템 및 검색결과 제공 방법 및 그 방법에 대한 컴퓨터 프로그램을 저장한 기록매체에 관한 것으로, 웹 문서나 블로그, 논문자료, 신문기사 등에서 제목, 저자, 초록의 요약정보를 추출하여 별도의 데이터베이스를 구축하고, 웹 인터페이스의 질의어 입력창을 통해 질의어가 입력되면 상기 질의어와 같이 입력된 제목 리스트를 검색하여 그 결과를 질의어 입력창 하단에 리스트 형태로 보여주고, 상기 제목 리스트에서 제목을 선택(클릭)하면 그 문서의 저자정보와 초록(요약)정보를 별도의 창을 통해 보여줌으로써, 사용자가 특정 문서를 찾고자 할 때 폭 넓은 정보를 제공하고, 검색 수행 시간 및 노력을 줄일 수 있다. 웹, 검색, 질의어(단어), 제목, 정보, 사이트, 문서, 논문
Abstract:
PURPOSE: A device for displaying a promising commercialization item extracted from technology and market trend information and a method thereof are provided to increase a user recognition rate by suggesting the promising commercialization item to a user by using basis data. CONSTITUTION: A data collecting unit(1031) collects typical or atypical data from an external database(1020) or a webpage(1010). A data storage unit(1032) stores the collected data. A data analyzing unit(1033) extracts promising commercialization items from the stored data to generate a ranking result and basis data about the result. A visualizing unit(1035) schematizes the result and the basis data as a graph and a grid diagram. [Reference numerals] (1010) Web page; (1020) External database; (1030) Promising commercialization item extracting device; (1031) Data collecting unit; (1032) Data storage unit; (1033) Data analyzing unit; (1034) Data management unit; (1035) Visualizing unit; (1040) Promising commercialization item extracting web service
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:
PURPOSE: A system for extracting relation between technical terms from bulk bibliographic information using a verb base pattern based on tama is provided to use a TAMA(Tech Association Mining Appliance) which recognizes relation between a technical term included in text and the technical terms, thereby extracting a verb based pattern centric relation from an abstract and bibliography database over science technique field. CONSTITUTION: If sentences extracted from database by using IIFP(Integrated Information & Function Provider) for STM(Scientific Tech Mining)(190) is applied, a TRD(Target Relation Determiner)(200) performs detailed analysis process by a sentence unit. If a candidate relation set is generated based on a conceptualized lexical clue, the TRD determines a core relation among the relations. If a final target relation is determined in the TRD and whole preparation for actual relation extraction is prepared, a SSREE(Semi-Supervised Relation Extractor)(220) and a SREE(Supervised Relation Extractor)(230) are performed.