UAM_Biblioteca

View Item 

Using the clustering coefficient to guide a genetic-based communities finding algorithm

Author
Bello Orgaz, Gemauntranslated; Menéndez, Héctor D.; Camacho, David
Publisher
Springer Berlin Heidelberg
Date
2011-09-26
Citation
Intelligent Data Engineering and Automated Learning - IDEAL 2011: 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings. Lecture Notes in Computer Science, Volumen 6936. Springer, 2011. 160-169.
ISSN
0302-9743 (print); 1611-3349 (online)
ISBN
978-3-642-23877-2 (print); 978-3-642-23878-9 (online)
DOI
10.1007/978-3-642-23878-9_20
Editor's Version
http://dx.doi.org/10.1007/978-3-642-23878-9_20
Subjects
Clustering coefficient; Community finding; Genetic algorithms; Social networks; Informática
URI
http://hdl.handle.net/10486/665156
Note
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-23878-9_20
Proceedings of 12th International Conference IDEAL, Norwich, UK, September 7-9, 2011.
Rights
© Springer-Verlag Berlin Heidelberg 2011

Abstract

We describe an approach taken for automatically associating entries from an on-line encyclopedia with concepts in an ontology or a lexical semantic network. It has been tested with the Simple English Wikipedia and WordNet, although it can be used with other resources. The accuracy in disambiguating the sense of the encyclopedia entries reaches 91.11% (83.89% for polysemous words). It will be applied to enriching ontologies with encyclopedic knowledge.
Show full item record

Files in this item

Thumbnail
Size
408.6Kb
Format
PDF

Google™ Scholar:Bello Orgaz, Gema - Menéndez, Héctor D. - Camacho, David

This item appears in the following Collection(s)