Paper Info
Title
A Hierarchical Approach To Assess Keyword Dependencies In Fuzzy Keyword Ontologies
Abstract
The Knowledge Mobilization project (KNOWMOBILE) has been a joint effort by Institute for Advanced Management Systems Research, Abo Akademi University and VTT Technical Research Centre of Finland. Its goal was to better "mobilize" knowledge stored in heterogeneous databases for users with various backgrounds, geographical locations and situations. The working hypothesis of the project was that fuzzy mathematics combined with domain-specific data models, in other words, fuzzy ontologies, would help manage the uncertainty in finding information that matches the users needs. In this way, KNOWMOBILE places itself in the domain of knowledge management. In this paper we describe an industrial demonstration of fuzzy ontologies in information retrieval in the paper industry where problem solving reports are annotated with keywords and then stored in a database for later use. Furthermore, using Bellmann-Zadeh's principle to fuzzy decision-making we will show a method for identifying keyword dependencies in the keyword taxonomic tree.
Year
DOI
Venue
2011
10.1109/FUZZY.2011.6007391
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011)
Keywords
Field
DocType
Fuzzy ontology, keyword ontology, fuzzy coverage
Ontology (information science),Data modeling,Information retrieval,Computer science,Fuzzy logic,Fuzzy mathematics,Knowledge mobilization,Fuzzy set,Artificial intelligence,Distributed database,Management system,Machine learning
Conference
ISSN
Citations 
PageRank 
1098-7584
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Christer Carlsson11844164.70
Robert Fullér294874.52
Mario Fedrizzi314829.78