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 유망 연구주체 판단 시스템 및 방법에 관한 것으로, 문헌들이 저장된 복수 개의 문헌 데이터베이스, 기술들과 그 기술들의 연관기술들이 정의된 기술관계 사전, 상기 문헌 데이터베이스의 문헌들을 분석하여 기술관계 사전 내 기술들의 연관기술들에 대한 자질집합과 각 기술별 연구주체들의 자질집합을 생성하고, 개별 자질을 조합하여 기술별 및 연구 주체별 자질집합을 확장하는 자질집합 확장 장치, 상기 기술별 및 연구주체별 확장 자질집합을 이용하여 연구주체들의 경쟁력을 분석하고, 상기 분석 결과를 근거로 유망 연구주체를 판단하는 유망 연구주체 판단 장치를 포함한다. 따라서 본 발명에 따르면, 다수 및 다종의 문헌 DB에서 기술 및 연구주체에 대한 정보를 발견하고 그 연구주체들이 기술별 기업 동향 분석 그래프 내 어느 단계에 속하며 얼마나 유망한 지를 자동으로 예측하여 제시할 수 있다.
Abstract:
PURPOSE: An adaptive user guide service method and a server are provided to find potential concerns through collecting and analyzing real time user feedback, thereby supplying a desired result to a user. CONSTITUTION: A user feedback information collection unit(240) collects user feedback information from user terminals through a communication unit(230). An entity extraction unit(250) extracts entities from the collected user feedback information. A transfer candidate service selection unit(260) selects a transfer candidate service with a precondition corresponding to information related to an extracted entity among transfer candidate services of a first service through a search a service guide information database(220). A service providing unit(270) transfers the first service to the selected transfer candidate service. [Reference numerals] (200) Service providing server; (210) Service information DB; (220) Service guide information DB; (230) Communication unit; (240) User feedback information collection unit; (250) Entity extraction unit; (260) Transfer candidate service selection unit; (270) Service providing unit; (280) Ontology DB;
Abstract:
PURPOSE: A MapReduce based dispersion parallel entity extracting system and a method thereof are provided to guarantee shortened entity extracting response time by extracting entity based on a MapReduce framework. CONSTITUTION: A master server device(100) distributes target document data to slave server devices(200a-200N) by dividing an input document into the target document data. The slave server device converts the target document data into a data format which is able to be processed in a MapReduce framework, divides the content of the converted document into sentences, and divides the divided sentences into construction units. The slave server device extracts the combination of the construction units as entity candidates and defines a relationship between the extracted entities. [Reference numerals] (100) Master server; (200a) Slave server 1; (200b) Slave server 2; (200N) Slave server N;
Abstract:
PURPOSE: A web search based word recognition method and a device thereof are provided to use a web search result for a word candidate extracted from a document group as statistical information for assigning a weighted value for the word candidate, thereby reflecting the weighted value and recognizing a new word. CONSTITUTION: A word candidate extraction unit obtains part of speech information and original word information by analyzing sentences of an input document. The word candidate extraction unit extracts word candidates by using the part of speech information, the original word information, and a stored word candidate pattern. A quality extraction unit obtains basic quality for the word candidates and web quality of a web search result(S306). A word recognition unit assigns a weighted value by applying machine learning to the basic quality and the web quality and recognizes a word candidate which the weighted value is the highest as a word(S308). [Reference numerals] (AA) Start; (BB) End; (S302) Extracting word candidates by analyzing an input document; (S304) Obtaining basic quality for the extracted word candidates and web quality of a web search result; (S306) Obtaining basic quality of each word candidate and web quality of the web search result; (S308) Recognizing a word candidate which the weighted value is the highest as a word
Abstract:
PURPOSE: A promising research subject determining system and a method thereof are provided to find information about research subjects and technologies from a number of and different kinds of literature databases and automatically predict and suggest stages and the prospectiveness of the research subjects. CONSTITUTION: Literature databases(100) store literature. A technology relation dictionary(300) defines technologies and technologies related to the technologies. A feature set extending device(200) analyzes the literature of the literature database to generate a feature set of research subjects by technologies and a feature set of the related technologies in the technology. The feature set extending device combines individual features to extend a feature set by technologies and research subjects. A promising research subject determining device analyzes the competitiveness of the research subjects based on the feature set by technologies and research subjects to decide whether a research subject is promising. [Reference numerals] (100a,100n) Literature databases; (200) Feature set extending device; (300) Promising research subject determining device; (400) Technology relation dictionary; (AA) Communication network
Abstract:
PURPOSE: A method for analyzing statistics based on ontology is provided to make and manage ear marking fixtures used in objects of the same type on ontology, thereby efficiently managing statistic information. CONSTITUTION: Authority data ontology about authority data about statistical items is built(S102). Research result ontology about a research result is built based on the authority data and the authority data ontology(S104). Statistic references and statistic target items for statistic analysis are set(S106). Statistic information about the research result is generated by ontology relation information(S112).
Abstract:
PURPOSE: A technology development providing method using a technology life cycle graph and a system thereof are provided to obtain stages by year and representative items by year to display on the technology life cycle graph. CONSTITUTION: A technology development information DB(Database) building device(200) builds a technology development information DB in which stages by year and representative items by year for each technology are stored to be displayed on a technology development life cycle graph. A technology development providing device(300) acquires stages by year and representative items by year for a specific technology displayed on the technology development life cycle graph. The technology development providing device displays acquired contents on the technology development life cycle graph.