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Issue title: Question answering over Linked Data
Guest editors: Christina Unger, Axel-Cyrille Ngonga Ngomo, Philipp Cimiano, Sören Auer and George Paliouras
Article type: Research Article
Authors: Frosini, Riccardoa; * | Calì, Andreaa; b | Poulovassilis, Alexandraa | Wood, Peter T.a
Affiliations: [a] London Knowledge Lab, Birkbeck, University of London, UK. E-mails: riccardo@dcs.bbk.ac.uk, andrea@dcs.bbk.ac.uk, ap@dcs.bbk.ac.uk, ptw@dcs.bbk.ac.uk | [b] Oxford-Man Institute of Quantitative Finance, University of Oxford, UK
Correspondence: [*] Corresponding author. E-mail: frosini.riccardo@gmail.com.
Abstract: Flexible querying techniques can enhance users’ access to complex, heterogeneous datasets in settings such as Linked Data, where the user may not always know how a query should be formulated in order to retrieve the desired answers. This paper presents query processing algorithms for a fragment of SPARQL 1.1 incorporating regular path queries (property path queries), extended with query approximation and relaxation operators. Our flexible query processing approach is based on query rewriting and returns answers incrementally according to their “distance” from the exact form of the query. We formally show the soundness, completeness and termination properties of our query rewriting algorithm. We also present empirical results that show promising query processing performance for the extended language.
Keywords: Semantic Web, SPARQL 1.1, path queries, query approximation, query relaxation
DOI: 10.3233/SW-150206
Journal: Semantic Web, vol. 8, no. 4, pp. 533-563, 2017
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