Paper Info
Title
Fuzzy Ontology-Based Approach For Automatic Construction Of User Profiles
Abstract
This paper shows a fuzzy ontology based approach to automatically build user profiles from a collection of user interest documents. The ontological representation of the user profile enhances the performance in tasks such as filtering, categorization and information retrieval. The proposed technique takes advantage of relevance measures to generate semantic representations of user context. The proposed work also presents a strategy for automatic generation of fuzzy ontologies to support user profile modeling. The experiments performed confirm that the automatically obtained fuzzy ontologies are good representation of the user's preferences. In order to test the applicability of the obtained ontologies, a text categorization experiment has been proposed and the obtained results indicate that the approach can be applied with satisfactory results and warrants further research.
Year
DOI
Venue
2014
10.1007/978-3-319-08644-6_35
ROUGH SETS AND CURRENT TRENDS IN SOFT COMPUTING, RSCTC 2014
Keywords
Field
DocType
User Profile, Fuzzy Ontology, User Modeling, Text Mining
Ontology (information science),Ontology,Categorization,Text mining,User profile,Information retrieval,Computer science,Filter (signal processing),Fuzzy ontology,User modeling
Conference
Volume
ISSN
Citations 
8536
0302-9743
0
PageRank 
References 
Authors
0.34
8
4
Name
Order
Citations
PageRank
Mateus Ferreira Satler182.26
Francisco P. Romero223527.46
José Angel Olivas36512.87
Jesús Serrano-Guerrero4599.31