DocumentCode :
2251935
Title :
Towards context-semantic knowledge bases
Author :
Goczyla, Krzysztof ; Waloszek, Aleksander ; Waloszek, Wojciech
Author_Institution :
Fac. of Electornics, Telecomunications & Inf., Gdansk Univ. of Technol., Gdansk, Poland
fYear :
2012
fDate :
9-12 Sept. 2012
Firstpage :
475
Lastpage :
482
Abstract :
Within the paper we discuss the issue of designing well-founded contextual knowledge bases. Following the base idea that contextualization is a vital part of conceptualization, we extend the definitions of selected notions of OntoClean, the well-known method of assessment of taxonomies, towards contextual approach. This allows us to formulate a set of desirable qualities for context-semantic knowledge bases. In the further part of the paper we show that SIM method, our proposal of organizing contextual knowledge base, is in accordance with the introduced desiderata.
Keywords :
inference mechanisms; knowledge based systems; ontologies (artificial intelligence); OntoClean; SIM method; conceptualization; context-semantic knowledge bases; contextual knowledge base organization; contextual reasoning problems; contextualization; desiderata; ontologies; taxonomy assessment method; Aggregates; Cognition; Context; Humans; Knowledge based systems; Ontologies; Semantics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4673-0708-6
Electronic_ISBN :
978-83-60810-51-4
Type :
conf
Filename :
6354465
Link To Document :
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