A Web 3.0 Approach for Improving Tagging Systems

Workshop on Web 3.0: Merging Semantic Web and Social Web

Alexander Kreiser ; Andreas Nauerz ; Fedor Bakalov ; Birgitta König-Ries ; Martin Welsch

Others  :  http://CEUR-WS.org/Vol-467/paper6.pdf
PID  :  11152

来源: CEUR

【 摘 要 】

In Web 2.0 systems tagging has become one of the most popular techniques to allow users (and entire user communities) to categorize content autonomously. But, current tagging systems have their flipsides, though: synonyms and polysems lead to littered tag spaces making it difficult for users to find relevant content. Users suffer from retrieving content actually not being of interest or, vice versa, from not retrieving content that actually would be of interest when exploring the tag space. Moreover, in current tagging systems no relations between tags are modeled. Thus, recommending related tags (or content) is not possible.In this paper we present an approach allowing users, i.e. the community, to collaboratively model relations between tags. We provide UI components allowing to model these relations which are then stored in a SKOS-based ontology which can be leveraged for content recommendations. Giving the community the power to consolidate tags and to relate tags to each other and, at the same time, storing these relations in ontologies is our Web 3.0 approach to solve tag space littering problems and to issue tag-based recommendations.The concepts presented are being prototypically implemented within IBM's WebSphere Portal and can be presented in a live demo at the workshop.