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Cataloguing the Context of Public SPARQL Endpoints
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Author(s): Ali Hasnain (NUI Galway, Ireland), Qaiser Mehmood (NUI Galway, Ireland), Syeda Sana e Zainab (NUI Galway, Ireland)and Aidan Hogan (DCC, University of Chile, Chile)
Copyright: 2018
Pages: 34
Source title:
Innovations, Developments, and Applications of Semantic Web and Information Systems
Source Author(s)/Editor(s): Miltiadis D. Lytras (American College of Greece, Greece), Naif Aljohani (King Abdulaziz University, Saudi Arabia), Ernesto Damiani (University of Milan, Italy)and Kwok Tai Chui (The Open University of Hong Kong, Hong Kong)
DOI: 10.4018/978-1-5225-5042-6.ch011
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Abstract
Access to hundreds of knowledge bases has been made available on the Web through SPARQL endpoints. Unfortunately, few endpoints publish descriptions of their content. It is thus unclear how agents can learn about the content of a given endpoint. This research investigates the feasibility of a system that gathers information about public endpoints by querying directly about their own content. It would thus be feasible to build a centralised catalogue describing the content indexed by individual endpoints by issuing them SPARQL 1.1 queries; this catalogue could be searched and queried by agents looking for endpoints with content they are interested in. 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 goal is twofold: 1) using VoID as a bar, to empirically investigate the extent to which endpoints can describe their own content, and 2) to build and analyse the capabilities of an online catalogue.
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