Title :
Multilinugal patent knowledge analysis
Author :
Segev, Aviv ; Kantola, Jussi
Author_Institution :
Dept. of Knowledge Service Eng., KAIST, Daejeon, South Korea
Abstract :
Knowledge extraction for patent requests depends on analyzing current state of the art in multiple languages. Currently the process is usually limited to the languages the patent seeker knows. The paper describes a model for representing the patent request by a set of concepts related to existing multilingual knowledge ontology. The search for patent information is based on Fuzzy Logic decision support, allowing a multilingual search. The model was analyzed in assisting the decision process in the Korean Patent Office based on patents in the Korean, English, and Chinese languages.
Keywords :
decision support systems; fuzzy logic; natural language processing; ontologies (artificial intelligence); patents; Korean patent office; fuzzy logic decision support; knowledge extraction; multilingual knowledge ontology; multilingual patent knowledge analysis; Context; Data mining; Fuzzy logic; Indexes; Information filters; Ontologies; Patents; Decision Support; Fuzzy Logic; Multilingual Knowledge; Ontology; Patent;
Conference_Titel :
Computer Symposium (ICS), 2010 International
Conference_Location :
Tainan
Print_ISBN :
978-1-4244-7639-8
DOI :
10.1109/COMPSYM.2010.5685541
