Title :
Patent Search Decision Support Service
Author :
Segev, Aviv ; Kantola, Jussi
Author_Institution :
Dept. of Knowledge Service Eng., KAIST, Daejeon, South Korea
Abstract :
Patent search requires identifying the boundaries of existing knowledge. Every patent request requires a decision maker to study all the aspects of the request. The paper describes a model for representing the patent request by a set of concepts related to existing knowledge ontology. The search for patent information is based on Fuzzy Logic decision support, allowing a more comprehensive search. The model is currently being implemented and analyzed in assisting the decision process in the Korean Patent Office.
Keywords :
decision making; decision support systems; fuzzy logic; ontologies (artificial intelligence); patents; search problems; Korean Patent Office; decision maker; decision support service; fuzzy logic; knowledge ontology; patent information request; patent search; Data mining; Decision support systems; Fuzzy logic; Fuzzy set theory; Information technology; Knowledge engineering; Ontologies; Qualifications; Robustness; Decision Support; Fuzzy Logic; Knowledge Engineering; Ontology; Patent Service;
Conference_Titel :
Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-6270-4
DOI :
10.1109/ITNG.2010.99
