DocumentCode
2032286
Title
Multilinugal patent knowledge analysis
Author
Segev, Aviv ; Kantola, Jussi
Author_Institution
Dept. of Knowledge Service Eng., KAIST, Daejeon, South Korea
fYear
2010
fDate
16-18 Dec. 2010
Firstpage
1033
Lastpage
1038
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Symposium (ICS), 2010 International
Conference_Location
Tainan
Print_ISBN
978-1-4244-7639-8
Type
conf
DOI
10.1109/COMPSYM.2010.5685541
Filename
5685541
Link To Document