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Improving Search and Navigation by Combining Ontologies and Social Tags

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5333))

Abstract

The Semantic Web has the ambitious goal of enabling complex autonomous applications to reason on a machine-processable version of the World Wide Web. This, however, would require a coordinated effort not easily achievable in practice. On the other hand, spontaneous communities, based on social tagging, recently achieved noticeable consensus and diffusion. The goal of the TagOnto system is to bridge between these two realities by automatically mapping (social) tags to more structured domain ontologies, thus, providing assistive, navigational features typical of the Semantic Web. These novel searching and navigational capabilities are complementary to more traditional search engine functionalities. The system, and its intuitive AJAX interface, are released and demonstrated on-line.

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© 2008 Springer-Verlag Berlin Heidelberg

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Bindelli, S., Criscione, C., Curino, C.A., Drago, M.L., Eynard, D., Orsi, G. (2008). Improving Search and Navigation by Combining Ontologies and Social Tags. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2008 Workshops. OTM 2008. Lecture Notes in Computer Science, vol 5333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88875-8_26

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  • DOI: https://doi.org/10.1007/978-3-540-88875-8_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88874-1

  • Online ISBN: 978-3-540-88875-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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