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Semantic Models for Interactive Systems: The Case of Tagging and Folksonomies

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Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

Tagging, i.e. the annotation of resources with arbitrary text labels by users, has become a popular indexing method for interactive systems in the last few years. The linked vocabulary resulting from tagging is known as folksonomy and provides a valuable source for the exploration of digital resources. However, the interoperable use of folksonomies and related user interface components requires a consistent and comprehensive domain description. For this purpose, we developed a semantic model that describes the main concepts and relationships in the domain of tagging in a consistent and extensible way. It contributes to a better domain understanding and facilitates the development of interactive systems that use tagging as indexing method. By using the semantic model, folksonomies become independent from individual systems, which increases their interoperability and the reusability of related user interface components.

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Notes

  1. 1.

    Ontologies and schemata are abbreviated by their common namespace prefixes in the following. The namespace prefixes and URIs of all referenced vocabularies are given in Table 9.2 at the end of this chapter.

  2. 2.

    In brackets, we give the ontology classes and properties used to represent the information.

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Correspondence to Steffen Lohmann .

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Lohmann, S. (2013). Semantic Models for Interactive Systems: The Case of Tagging and Folksonomies. In: Hussein, T., Paulheim, H., Lukosch, S., Ziegler, J., Calvary, G. (eds) Semantic Models for Adaptive Interactive Systems. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-4471-5301-6_9

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  • DOI: https://doi.org/10.1007/978-1-4471-5301-6_9

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  • Online ISBN: 978-1-4471-5301-6

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