Abstract:
PURPOSE: A future technology or derivation technology determination method and a system thereof are provided to automatically predict a technology level by using various technology level analysis methods. CONSTITUTION: A technology word except for future technologies is obtained by analyzing literatures for the future technologies(S702) the obtained technologies are accumulated(S704). The technology words are arranged(S706). The predetermined number of the technology words is obtained(S708). The obtained technology word is determined as the future technology(S710). [Reference numerals] (AA) Start; (BB) End; (S702) Obtain technical words except for a future technology by analyzing literature for the future technologies; (S704) Accumulate obtained technical words; (S706) Arrange technical words according to the number of the accumulated technical words; (S708) Obtain predetermined technical words ranked in the arranged technical words; (S710) Determine obtained technical words as derived future technologies
Abstract:
PURPOSE: A technical term dictionary verifying system and a method thereof are provided to determine the suitability of technical terms by evaluating the subject classification of external resources and measuring the appearance frequency of the technical terms. CONSTITUTION: A resource evaluating device(200) obtains the appearance frequency of technical terms of an correct answer set and determines the subject field of resources based on the appearance frequency. A technical term determining device(400) collects the technical terms from external term resources to build a technical term dictionary database. The technical term determining device determines subject fields of the technical terms by similarity between the technical terms stored in the technical term dictionary database. [Reference numerals] (100) External resource; (200) Resource evaluating device; (300) Term resource; (400) Technical term determining device; (AA) Communication unit; (BB) Term dictionary; (CC) Patent title; (DD) Thesis keyword; (EE) Gortner technical term
Abstract:
본 발명은 개체 식별 결과 검색 시스템 및 방법에 관한 것으로, 개체들에 대한 속성정보가 온톨로지로 저장된 다중 온톨로지 데이터베이스, 질의어가 입력된 경우, 상기 질의어에 대한 식별결과를 트리플 저장모듈로부터 획득하고, 상기 획득된 식별결과를 상기 다중 온톨로지 데이터베이스로부터 획득된 상기 질의어에 대한 식별결과와 비교하여 개체식별 필요 여부를 판단하고, 개체식별이 필요한 경우 상기 다중 온톨로지 데이터베이스로부터 식별대상 개체의 속성정보를 획득 및 비교하여 개체들을 식별하고, 상기 개체식별에 따른 결과정보를 제공하는 개체식별결과 검색장치를 포함한다. 따라서 본 발명에 따르면, Linked Data에 포함된 다중 온톨로지의 속성 정보를 이용하여 다양한 유형의 개체들을 점진적으로 식별할 수 있다.
Abstract:
PURPOSE: A device for extracting a descriptive concept expression about terms from literature and a method thereof are provided to actually enable an conceptual approach to the literature by performing a sentence search based on a PAT(Predicate Argument Tuble) for extracting a sentence corresponding to an inputted term. CONSTITUTION: A conversion processing unit(100) designates a correlation about words included in each paragraph of a sentence based on a grammatical relation between the words composing the sentence to extract a PAT corresponding to the sentence. The conversion processing unit reforms a structure of the PAT for grouping the PAT. An information storage unit(200) stores the reformed PAT so that the PAT corresponds to the sentence. An information search unit(300) extracts the stored sentence to include the PAT extracted from a sentence corresponding to a query. [Reference numerals] (100) Conversion processing unit; (200) Information storage unit; (300) Information search unit; (AA) Literature; (BB) User query language
Abstract:
PURPOSE: A technology roadmap service providing method and a system thereof are provided to obtain major development technologies and development prediction technology candidates of each subject, thereby generating a technology roadmap with a change flow or the development prediction technology candidates of each major development technology. CONSTITUTION: If a specific major development technology is selected from a technology roadmap, an association technology processing unit(460) obtains major association development technologies among major development technologies displayed on the technology roadmap. The association technology processing unit connects the major development technologies with the major association development technologies. The association technology processing unit displays the connected technologies on the technology roadmap. The association technology processing unit associates the specific major development technology with a development prediction technology candidate derived from the major association development technologies. [Reference numerals] (400) Technology roadmap generating device; (410) Research technology information DB; (420) Research prediction technology information DB; (430) Unser interface unit; (450) Technology roadmap generating unit; (460) Technology processing unit
Abstract:
PURPOSE: A research prediction technology recommendation method and system thereof are provided to recommend and select technologies for new research fields by using information for main technologies of each object. CONSTITUTION: A research prediction technology candidate selecting module(250) acquires main technologies of each object from a research technological information database(220). The research prediction technology candidate selecting module calculates frequency values for the acquired technologies by acquiring one or more technologies. The research prediction technology candidate selecting module selects technologies held a high rank as research prediction technology candidates of each object.
Abstract:
PURPOSE: An associated technology information providing method and system thereof are provided to offer representative subjects or associated technologies through a technology life period graph. CONSTITUTION: An associated technology information database construction apparatus(200) constructs an associated technology information database. Associated technologies for each technology displayed on a technology life period graph and subjects of the associated technologies are defined in the associated technology information database. An associated technological information providing apparatus(300) acquires the associated technology information from the associated technology information database. The associated technology information providing apparatus displays the representative subject of the associated technologies or the associated technologies on the technology life period graph.
Abstract:
PURPOSE: A technology trend visualization device and a method thereof are provided to predict the present position in technology life cycle of a specific technique, year steps, and development speed. CONSTITUTION: A technology information database(110) stores information about the representative step, the present step, and the next step, and the year step in the technology life cycle. A quality set generating module(140) searches the technologies located in the technology life cycle in the bibliographic database, computes quality value on the defined qualities, and produces quality set classified into technologies. A correct quality set generating module(150) computes the common quality value of the quality sets of the technologies belonging to the same step in the technology life cycle and produces the correct quality set classified into the steps.
Abstract:
PURPOSE: A method for processing SPARQL(Simple Protocol and RDF(Resource Description Framework) Query Language)-query containing union clause for an aggregation grammar extended SPARQL-to-SQL converter is provided to convert SPARQL-query into an SQL by using a derived table. CONSTITUTION: A union clause detector(210) detects an overlapped union clause from an SPARQL-query. If the overlapped union clause is detected, a derived table generator(220) creates a derived table corresponding to the union clause. A query statement transform unit(230) changes the SPARQL-query in which the overlapped union clause is included into an SQL(Structured Query Language) using the derived table.
Abstract:
PURPOSE: A regulation inference engine and dynamic materializing method including a wild pattern regulation are provided to increase the deduction performance and effectiveness of a regulation by reducing a join computation and the number of join nodes. CONSTITUTION: A network constructing unit(110) refers to an ontology schema according to a wild pattern. A network execution unit(120) generates the inferred triple and dynamically generates new regulation by implementing ontoloty in a network. A network expansion unit(130) adds the new regulation in the network.