Title
On transforming a knowledge base from topic maps to OWL
Abstract
In this contribution we show, how we could overcome the shortcomings of the Topic-Map representation by applying our developed transformation concept for the particular system VCEDECIS. At a passive decision support system using Topic Maps as a semantic technology for representing its knowledge, it was decided to transform the knowledge representation to Web Ontology Language. We introduce a transformation concept that starts with a sound analysis of the source system. For typical patterns in the topic map the best corresponding patterns in OWL-DL were defined. A combination of general considerations and real examples act as a proof of concept.
Year
DOI
Venue
2011
10.1007/978-3-642-27549-4_27
EUROCAST (1)
Keywords
Field
DocType
passive decision support system,web ontology language,knowledge representation,knowledge base,transformation concept,particular system,corresponding pattern,source system,topic-map representation,developed transformation concept,topic map,topic maps,decision support systems,ontology
Ontology (information science),Knowledge representation and reasoning,Semantic technology,Computer science,Knowledge-based systems,Artificial intelligence,Natural language processing,Knowledge base,Topic Maps,Web Ontology Language,Open Knowledge Base Connectivity
Conference
Volume
ISSN
Citations 
6927
0302-9743
1
PageRank 
References 
Authors
0.36
3
6