Abstract:
PURPOSE: An ontology information browsing method, an ontology information browsing device thereof, and a storage medium including a program implementing an ontology information browser thereof display a large amount of ontology information in a simple way and make it easier for a user to select which piece of ontology information to be displayed. CONSTITUTION: A transceiver unit (310) communicates with a network and receives a request for ontology information. Based on the received ontology information, a browser operation unit (320) launches an ontology information browser. A display unit (340) displays the search results of ontology information the browser identifies based on the received ontology information. The ontology information browser places the information requested by a user at the edge of the display unit's screen and with the requested information as a center, related pieces of ontology information are placed on several concentric circles with different distances from the center. [Reference numerals] (310) Transceiver unit; (320) Browser operation unit; (330) Storage unit; (340) Display unit
Abstract:
PURPOSE: An outputting device for technology association relation information of an institution, an outputting method thereof, and an application storage medium thereof are provided to allow associated institutions to obtain association information at a time. CONSTITUTION: A system comprises a storage unit(210), an association relation extraction module(220), and an outputting unit(230). The storage unit stores technology relation information, institution technology association information, and top/bottom technology information corresponding to a technology range. The association relation extraction module processes a search based on a keyword inputted by a user and provides the technology relation information, the association relation extraction module, and the top/bottom technology information corresponding to the technology range. Institution association relation information is generated by using data which is inputted or selected by the user. The association relation extraction module provides information, which is generated by delivering the institution association relation information to the outputting unit, to the user. [Reference numerals] (210) Storage unit; (220) Association relation extraction module; (230) Outputting unit
Abstract:
PURPOSE: A query result expecting method and a system thereof are provided to supply information for a query word which users input as an information search keyword and a subject range for an information search result. CONSTITUTION: Query result expecting information about a query word is requested(S404). Subject field distribution about the query word transmits to a user terminal as the query result expecting information(S408). The query result expecting information is outputted in a predetermined area of a search screen(S412). A search requesting signal including the query word transmits to a search service providing server(S428). The search service providing server searches information about the query word(S440). [Reference numerals] (AA) User terminal; (BB) Start; (CC) Search service providing device; (DD,FF,HH) Yes; (EE,GG,II) No; (JJ) End; (S402) Query word input; (S404) Requesting query result predicting information; (S406) Obtaining related word information or subject field distribution for a query word; (S408) Generating query result predicting information including the related word information or the subject field distribution; (S410) Query result predicting information; (S412) Query result predicting information output; (S414) Query equation change?; (S416) Requesting the subject field distribution; (S418) Obtaining the subject field distribution for the related word included in a query equation; (S420) Renewing the subject field distribution by combining the subject field distribution for the related word and the subject field distribution for the query word; (S422) Renewed subject field distribution; (S424) Renewed subject field distribution output; (S426) Subject field change?; (S428) Search request signal; (S430) Filtering only information for subject fields selected by considering the query word; (S432) Search result; (S434) Search result output; (S436) Search command input?; (S438) Search request signal; (S440) Information search for the query word; (S442) Search result; (S444) Search result output
Abstract:
PURPOSE: A multilingual specialized terminology resource providing system is provided to offer the search result in which the similarity is reflected to a user by expanding the specialized terminology to the multilingual environment. CONSTITUTION: A multilingual semantic network build-up device(130) generates a translation file by consulting a keyword field of the each document stored in bibliographic information database(100). When the search word is inputted, a multilingual deduction device(150) extracts the semantic network about the search word from the multilingual semantic network build-up device. The multilingual deduction device extracts the similarity between configuration keywords based on the search word and provides the relation information with the visualization information.
Abstract:
The present invention relates to a method for providing adaptive ontology information, an apparatus for providing the adaptive ontology information, and a storage medium storing a program to provide the adaptive ontology information. One embodiment of the present invention provides the method for providing the adaptive ontology information which includes the steps of: receiving and storing context information related to ontology information which is selected by a user from a database storing the ontology information; and determining the context information, which is generated N times or more among the context information related to the selected M ontology information based on the stored context information, as the adaptive ontology information and providing the adaptive ontology information.
Abstract:
An apparatus for adjusting the time difference of diverse resources based on meaning, according to an embodiment of the present invention, includes: a cluster generation module which generates index term clusters based on index terms according to the time when the diverse resources have been generated, wherein the diverse resources include resource data in the same research fields; a similarity measurement module which measures the degree of similarity between cluster sets at every time difference generated by moving the index term clusters of the diverse resources along a time axis by the hour; and a calibration module which adjusts the time difference between the generation of the diverse resources based on the measured degree of similarity. [Reference numerals] (AA) Start; (BB) Repeat action for diverse resources; (CC) End; (S2000) Input data; (S2100) Generate index term cluster by resources; (S2200) Measure the degree of similarity between the diverse resources; (S2300) Adjust and verify the time difference based on the diverse resources; (S2400) Divide adjusted and verified time series data; (S2500) Output and store the data
Abstract:
본 발명은 학술정보 자원의 분석 정보 제공 시스템 및 방법에 관한 것으로서, 통신망을 통해 타 시스템과의 통신을 수행하기 위한 통신 인터페이스부; 운용자에 의해서 입력된 선택 정보에 따라, 분석 기능 또는 통계 기능 중 어느 하나를 선택하는 기능 선택부; 기능 선택부에서 분석 기능이 선택된 경우, 해당 정보를 제공받기 위한 분석 기준, 분석행, 분석열로 구성된 분석 조건을 설정하는 분석 조건 설정부; 분석 조건에 따라 해당 정보가 출력되도록 분석 처리를 수행하는 분석 처리부; 분석 처리부에 의해서 수행된 결과를 제공하는 분석 결과 제공부; 및 학술지 정보를 비롯하여 분석 및 통계 정보 제공 시스템과 관련된 정보를 저장하는 데이터베이스;를 포함하여, 국가 개별기관에서 가용할 수 있는 학술지의 현황을 안내하는 '국가가용학술자원맵'을 제공하고, 학술지와 관련된 다양한 분석, 통계정보를 제공함으로써, 개별기관에서 가용해야 하는 학술지 개발을 안내하는 '국가가용학술자원개발맵'을 제공하여 학술지 수집을 보다 체계화하고 전략화할 수 있다는 효과를 기대할 수 있다.
Abstract:
PURPOSE: A system and method for automatically generating high capacity of classifier by a dynamic combination of a classifier are provided to freely generates a unified classifier which learnd all quality information of combined target databases by dynamically combining a plurality of combining target databases. CONSTITUTION: Databases(100a~100c) classifies and store documents. Classification generating devices(200a~200n) generates an individual classifier. The individual classifier calculates a quality weighted vale by obtaining a similarity of range of quality extracted from a learning target document of the database. The individual classifier determines a range of classified target documents by generating a feature matrix and term vector including the weight value. A classifier dynamic combining device(300) generates an integrated classifier which learned all quality information nof a combination target database.