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Erschienen in:
TagFusion: A System for Integration and Leveraging of Collaborative Tags Kapitel lesen Erstes Kapitel lesen

2009 | OriginalPaper | Buchkapitel

2. Semantic Enhancement of Social Tagging Systems

verfasst von : Fabian Abel, Nicola Henze, Daniel Krause, Matthias Kriesell

Erschienen in: Web 2.0 & Semantic Web

Verlag: Springer US

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Abstract

Social tagging systems have shown an impressive potential for information discovery and exploration. Enriched with Semantic Web technologies, they enable to tap valuable metadata about Web resources and to detect hidden relations, thus, to capture information about both content and context of the resources. In this article, we propose a novel way to combine semantic technologies with Web 2.0 paradigms. We introduce the GroupMe! system, which extends current social tagging systems by giving users more flexibility in organizing and maintaining Web content. In GroupMe!, users can create groups of Web resources they consider relevant by simple drag & drop operations. They can tag and share their groups and Web content with fellow users and benefit from improved search and retrieval capabilities. We evaluate the GroupMe! approach and investigate on the effect of grouping resources for search in tag-based social systems. Our experiments show that the quality of search result ranking can be significantly improved by introducing and exploiting the grouping of resources.

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Vorheriges Kapitel TagFusion: A System for Integration and Leveraging of Collaborative Tags
Nächstes Kapitel Adaptation and Recommendation Techniques to Improve the Quality of Annotations and the Relevance of Resources in Web 2.0 and Semantic Web-Based Applications
Fußnoten
14
Instead we select, e.g., \({w}_{c}({t}_{g},r) \approx max(\vert \{u \in U : (u,t,r,g) \in \breve{ Y }\}\vert )\) as we believe that grouping a resource is in general more valuable than tagging it.
 
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Metadaten
Titel
Semantic Enhancement of Social Tagging Systems
verfasst von
Fabian Abel
Nicola Henze
Daniel Krause
Matthias Kriesell
Copyright-Jahr
2009
Verlag
Springer US
Buch
Web 2.0 & Semantic Web

Print ISBN: 978-1-4419-1218-3

Electronic ISBN: 978-1-4419-1219-0

Copyright-Jahr: 2009

DOI
https://doi.org/10.1007/978-1-4419-1219-0_2

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