Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ITNG.2010.99 | Information Technology: New Generations |
Keywords | Field | DocType |
patent search,patent information,comprehensive search,existing knowledge ontology,fuzzy logic decision support,decision process,korean patent office,patent request,patent search decision support,decision maker,data mining,cognition,ontologies,ontology,knowledge engineering,decision support systems,robustness,fuzzy logic,fuzzy set theory,decision support,information technology,indexes | Ontology (information science),Ontology,Information technology,Computer science,Decision support system,Fuzzy logic,Knowledge management,Fuzzy set,Knowledge engineering,Patent office | Conference |
ISBN | Citations | PageRank |
978-1-4244-6270-4 | 5 | 0.45 |
References | Authors | |
14 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aviv Segev | 1 | 249 | 21.04 |
| Jussi Kantola | 2 | 47 | 4.75 |