Abstract
Semantic Web ontologies are fast-growing knowledge sources on the Web. Searching relevant concepts from this large repository is a challenging problem. The current Semantic Web search engines provide either (1) coarse-grained search over ontologies or (2) very fine-grained search over individuals.We believe searching and ranking concepts across ontologies provides an ideal granularity for certain tasks such as ontology population and web page annotation. Towards this objective, we propose a novel approach of indexing concepts using ontology axioms in an inverted file structure and ranking them using a dynamic ranking algorithm. Our proposed method is generic and domain-independent. A preliminary evaluation indicates that our proposed method is effective, outperforming the search function of BioPortal, a large and widely-used ontology repository.
Original language | English |
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Title of host publication | Proceedings of the ISWC 2013 Posters & Demonstrations Track a track within the 12th International Semantic Web Conference (ISWC 2013) |
Subtitle of host publication | Sydney, Australia, October 23, 2013 |
Editors | Eva Blomqvist, Tudor Groza |
Publisher | Rheinisch-Westfaelische Technische Hochschule Aachen |
Pages | 93-96 |
Number of pages | 4 |
Publication status | Published - 2013 |
Event | International Semantic Web Conference 2013 - Sydney, Australia Duration: 21 Oct 2013 → 25 Oct 2013 Conference number: 12th http://iswc2013.semanticweb.org/ (Conference website) |
Publication series
Name | CEUR Workshop Proceedings |
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Publisher | Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V |
Volume | 1035 |
ISSN (Electronic) | 1613-0073 |
Conference
Conference | International Semantic Web Conference 2013 |
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Abbreviated title | ISWC 2013 |
Country/Territory | Australia |
City | Sydney |
Period | 21/10/13 → 25/10/13 |
Other | The 12th International Semantic Web Conference and the 1st Australasian Semantic Web Conference 21-25 October 2013, Sydney, Australia |
Internet address |
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Keywords
- Concept search
- Indexing
- Ontologies
- Semantic web