Using Similarity-Based Approaches for Continuous Ontology Development

Maryam Ramezani
Additional contact information
Maryam Ramezani: SAP Research, Germany

International Journal on Semantic Web and Information Systems (IJSWIS), 2011, vol. 7, issue 2, 45-64

Abstract: This paper presents novel algorithms for learning semantic relations from an existing ontology or concept hierarchy. The authors suggest recommendation of semantic relations for supporting continuous ontology development, i.e., the development of ontologies during their use in social semantic bookmarking, semantic wiki, or other Web 2.0 style semantic applications. This paper assists users in placing a newly added concept in a concept hierarchy. The proposed algorithms are evaluated using datasets from Wikipedia category hierarchy and provide recommendations.

Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/jswis.2011040103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:7:y:2011:i:2:p:45-64

Access Statistics for this article

International Journal on Semantic Web and Information Systems (IJSWIS) is currently edited by Brij Gupta

More articles in International Journal on Semantic Web and Information Systems (IJSWIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().