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dc.contributor.authorPassant, Alexandre
dc.contributor.authorLaublet, Philippe
dc.contributor.authorBreslin, John G.
dc.contributor.authorDecker, Stefan
dc.identifier.citationPassant, A., Laublet, P., Breslin, J. G., & Decker, S. (2009). A URI is Worth a Thousand Tags: From Tagging to Linked Data with MOAT. International Journal on Semantic Web and Information Systems (IJSWIS), 5(3), 71-94. doi:10.4018/jswis.2009081904en_IE
dc.description.abstractAlthough tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies can help solve many of these issues, especially considering the use of formal resources from the Web of Data in support of existing tagging systems and practices. In this article, we present the MOAT—Meaning Of A Tag—ontology and framework, which aims to achieve this goal. We will detail some motivations and benefits of the approach, both in an Enterprise 2.0 ecosystem and on the Web. As we will detail, our proposal is twofold: It helps solve the problems mentioned previously, and weaves user-generated content into the Web of Data, making it more efficiently interoperable and retrievable.en_IE
dc.description.sponsorshipThe work presented in this article has been funded in part by Science Foundation Ireland under Grant No. SFI/08/CE/I1380 (Lion-2).en_IE
dc.publisherIGI Globalen_IE
dc.relation.ispartofThe International Journal on Semantic Web and Information Systemsen
dc.subjectEnterprise 2.0en_IE
dc.subjectSocial web taggingen_IE
dc.subjectUser-generated contenten_IE
dc.subjectLinked dataen_IE
dc.titleA URI is worth a thousand tags: From tagging to linked data with MOATen_IE
dc.contributor.funderScience Foundation Irelanden_IE
dc.local.contactJohn Breslin, Electrical & Electronic Eng, Room 3047, Engineering Building, Nui Galway. 2622 Email:
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Short Term Travel Fellowship (STTF)/08/CE/I1380 - STTF 11 (4)/IE/Real-time personalisation of social web streams based on multi-domain user profiles/

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