Quotation Angeletou, Sofia, Sabou, Reka Marta, Motta, Enrico. 2008. Semantically enriching folksonomies with FLOR. In Proceedings of the First International Workshop on Collective Semantics: Collective Intelligence & the Semantic Web (CISWeb-2008), Tenerife, Spain, June 2, 2008. CEUR Workshop Proceedings, 2008, Vol.351, Hrsg. Yannis Avrithis, Yiannis Kompatsiaris, Steffen Staab, Athena Vakali, 65-79. Teneriffa: CEUR Workshop Proceedings.


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Abstract

While the increasing popularity of folksonomies has lead to a vast quantity of tagged data, resource retrieval in these systems is limited by them being agnostic to the meaning (i.e., semantics) of tags. Our goal is to automatically enrich folksonomy tags (and implicitly the related resources) with formal semantics by associating them to relevant concepts defined in online ontologies. We introduce FLOR, a mechanism for automatic folksonomy enrichment by combining knowledge from WordNet and online ontologies. We experimentally tested FLOR on tag sets drawn from 226 Flickr photos and obtained a precision value of 93% and an approximate recall of 49%

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Publication's profile

Status of publication Published
Affiliation External
Type of publication Contribution to conference proceedings
Language English
Title Semantically enriching folksonomies with FLOR
Title of whole publication Proceedings of the First International Workshop on Collective Semantics: Collective Intelligence & the Semantic Web (CISWeb-2008), Tenerife, Spain, June 2, 2008. CEUR Workshop Proceedings, 2008, Vol.351
Editor Yannis Avrithis, Yiannis Kompatsiaris, Steffen Staab, Athena Vakali
Page from 65
Page to 79
Location Teneriffa
Publisher CEUR Workshop Proceedings
Year 2008
URL http://ceur-ws.org/Vol-351/paper5.pdf
Open Access Y
Open Access Link http://ceur-ws.org/Vol-351/paper5.pdf

Associations

People
Sabou, Reka Marta (Details)
External
Angeletou, Sofia (The Open University, United Kingdom)
Motta, Enrico (The Open University, United Kingdom)
Organization
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
1127 Information science (Details)
1138 Information systems (Details)
1140 Software engineering (Details)
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