Paper Info
Title
Ufocore: Exploring Fuzzy Relations According To Specific Contexts
Abstract
In this paper, we propose the UFOCoRe approach to represent multiple relationship strengths in only one domain ontology, in order to enable dynamic data analysis according to the context. An algorithm called context-NARFO was developed to support the proposed method to mine rich semantic association rules. This algorithm was employed to mine real data from a medical insurance company, producing expressive and meaningful patterns. Moreover, the results show significant semantic gain in the data patterns mined, which is a consequence of the data analysis performed according to the user view and needs. The proposed method also promotes an increase in productivity during the ontology building phase, since domain experts can analyze several contexts of the modeled domain in a single and straightforward way.
Year
Venue
Keywords
2010
22ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING & KNOWLEDGE ENGINEERING (SEKE 2010)
Context Ontology, Fuzzy Ontology, Knowledge Representation, Data Mining
Field
DocType
Citations 
Data mining,Fuzzy classification,Computer science,Fuzzy cognitive map,Fuzzy logic,Artificial intelligence
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Mauricio Jacó Cerri100.34
Cristiane A. Yaguinuma2304.79
M. X. Ribeiro36812.72
Marilde Terezinha Prado Santos4136.85