Paper Info
Title
An approach for the automatic recommendation of ontologies using collaborative knowledge
Abstract
In recent years, ontologies have become an essential tool to structure and reuse the exponential growth of information in the Web. As the number of publicly available ontologies increases, researchers face the problem of finding the ontology (or ontologies) which provides the best coverage for a particular context. In this paper, we propose an approach to automatically recommend the best ontology for an initial set of terms. The approach is based on measuring the adequacy of the ontology according to three different criteria: (1) How well the ontology covers the given terms, (2) the semantic richness of the ontology and, importantly, (3) the popularity of the ontology in the Web 2.0. In order to evaluate this approach, we implemented a prototype to recommend ontologies in the biomedical domain. Results show the importance of using collaborative knowledge in the field of ontology recommendation.
Year
DOI
Venue
2010
10.1007/978-3-642-15390-7_8
KES (2)
Keywords
Field
DocType
biomedical domain,automatic recommendation,exponential growth,ontology recommendation,initial set,essential tool,best ontology,different criterion,available ontologies increase,collaborative knowledge,best coverage,semantic web,web 2 0
Ontology (information science),Ontology-based data integration,Ontology alignment,World Wide Web,Information retrieval,Process ontology,Open Biomedical Ontologies,Computer science,Suggested Upper Merged Ontology,Upper ontology,Ontology components
Conference
Volume
ISSN
ISBN
6277
0302-9743
3-642-15389-5
Citations 
PageRank 
References 
11
0.68
8
Authors
5
Name
Order
Citations
PageRank
Marcos Martínez-Romero1243.43
José M. Vázquez-Naya2151.76
Cristian R. Munteanu310010.27
Javier Pereira4394.90
Alejandro Pazos527338.07