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dc.contributor.authorHasnain, Ali
dc.contributor.authorMehmood, Qaiser
dc.contributor.authorSana e Zainab, Syeda
dc.contributor.authorHogan, Aidan
dc.date.accessioned2017-04-24T08:45:25Z
dc.date.available2017-04-24T08:45:25Z
dc.date.issued2016
dc.identifier.citationHasnain, A., Mehmood, Q., Sana e Zainab, S., & Hogan, A. (2016). SPORTAL: Profiling the Content of Public SPARQL Endpoints. International Journal on Semantic Web and Information Systems (IJSWIS), 12(3), 134-163. doi:10.4018/IJSWIS.2016070105en_IE
dc.identifier.issn1552-6283
dc.identifier.urihttp://hdl.handle.net/10379/6476
dc.description.abstractAccess to hundreds of knowledge bases has been made available on the Web through public SPARQL endpoints. Unfortunately, few endpoints publish descriptions of their content (e.g., using VoID). It is thus unclear how agents can learn about the content of a given SPARQL endpoint or, relatedly, find SPARQL endpoints with content relevant to their needs. In this paper, the authors investigate the feasibility of a system that gathers information about public SPARQL endpoints by querying them directly about their own content. With the advent of SPARQL 1.1 and features such as aggregates, it is now possible to specify queries whose results would form a detailed profile of the content of the endpoint, comparable with a large subset of VoID. In theory it would thus be feasible to build a rich centralised catalogue describing the content indexed by individual endpoints by issuing them SPARQL (1.1) queries; this catalogue could then be searched and queried by agents looking for endpoints with content they are interested in. In practice, however, the coverage of the catalogue is bounded by the limitations of public endpoints themselves: some may not support SPARQL 1.1, some may return partial responses, some may throw exceptions for expensive aggregate queries, etc. The authors' goal in this paper is thus twofold: (i) using VoID as a bar, to empirically investigate the extent to which public endpoints can describe their own content, and (ii) to build and analyse the capabilities of a best-effort online catalogue of current endpoints based on the (partial) results collected.en_IE
dc.description.sponsorshipThis publication was supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289, by the Millennium Nucleus Center for Semantic Web Research under Grant NC120004, and by Fondecyt Grant No. 11140900en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherIGI Globalen_IE
dc.relation.ispartofInternational Journal On Semantic Web And Information Systemsen
dc.subjectWEBen_IE
dc.subjectSPORTALen_IE
dc.subjectSPARQLen_IE
dc.subjectSelf-descriptive queriesen_IE
dc.subjectSPARQL Portalen_IE
dc.titleSPORTAL: Profiling the Content of Public SPARQL Endpointsen_IE
dc.typeArticleen_IE
dc.date.updated2017-04-03T15:02:26Z
dc.identifier.doi10.4018/IJSWIS.2016070105
dc.local.publishedsourcehttp://dx.doi.org/10.4018/IJSWIS.2016070105en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|
dc.internal.rssid12311115
dc.local.contactSyed Muhammad Ali Hasnain, Deri, Ida Business Park, Lower Dangan, Galway. - Email: ali.hasnain@deri.org
dc.local.copyrightcheckedNo
dc.local.versionACCEPTED
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