Abstract
Best practices for the publication of Semantic Web data currently place an unacceptably high burden on the end-user, who is supposed to locate and embrace third-party ontological structures prior to publishing any information. In this paper, I argue for a different publication paradigm where end-users are encouraged to publish potentially incomplete or conflicting information according to their own local context, and where heterogeneous data is consolidated a posteriori through bottom-up, decentralized processes. This approach simplifies both the publication and curation processes, while opening the door to pay-as-you-go knowledge integration and human-centered social semantics. However, it also profoundly alters the semantics of the overall resulting system.
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Cudré-Mauroux, P. (2011). Loose Ontological Coupling and the Social Semantic Web. In: Mugellini, E., Szczepaniak, P.S., Pettenati, M.C., Sokhn, M. (eds) Advances in Intelligent Web Mastering – 3. Advances in Intelligent and Soft Computing, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18029-3_2
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DOI: https://doi.org/10.1007/978-3-642-18029-3_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18028-6
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