Review and Alignment of Tag Ontologies for Semantically-Linked Data in Collaborative Tagging Spaces

Abstract

Abstract-As the number of Web 2.0 sites offering tagging facilities for the users' voluntary content annotation increases, so do the efforts to analyze social phenomena resulting from generated tagging and folksonomies. Most of these efforts provide different views for the understanding of various web activities.Results from various experimental research should be utilized to improve existing approaches underlying tagging data and contribute further to weaving the Web. However, in practice, there are not enough solutions taking advantage of these results. Even though we can mine social relations via tagging data, it proves no worth for users if this data cannot be reused.In this paper we propose a solution for tag data representation which allows data reuse across different tagging systems. To achieve this goal, we analyze current social tagging practices, existing folksonomy usage as well as Semantic Web approaches to data annotation and tagging. We survey and compare existing tag ontologies in an attempt to investigate mapping possibilities between different conceptual models. Finally, we present our method for federation among existing ontologies in order to generate re-usable, semantically-linked data that will underly tagging data.

Perspectives on social tagging

“…Modeling of social tagging behaviors can help to organize tagging data and to interlink it with data from other social applications, and several tag ontologies have been devised for this purpose (e.g., Gruber, 2007;Kim, Passant, Breslin, Scerri, & Decker, 2008). The UTO (Ding et al, submitted) is an upper level ontology for social tagging that is designed to circumvent the complexity and potential redundancy inherent in user-generated tagging vocabularies.…”

Metadata for semantic and social applications<br />DC- 2008 Berlin

“…In particular, we include in our comparison a conceptualisation that we presented in our earlier work -the SCOT Ontology (Kim et al, 2008). The choice of the conceptualisations was based on how concrete the model is for tagging and use by online communities.…”

Semantic metadata in the publishing industry – technological achievements and economic implications

“…Early work (Kosch et al 2005;Ohtsuki et al 2006;Smith and Schirling 2006) provides design principles for a metadata life cycle management and demonstrates the value of wellstructured metadata for indexing and compiling multimedia documents across various modalities like text, speech and video. More recent approaches investigate the benefits of ontologies in organising and reutilising semantic metadata for purposes such as metadata enrichment (Hu et al 2009;Mannens et al 2009), collaborative tagging practices (Kim et al 2008) or adaptive content services (Yu et al 2010).…”