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SemLAV: Local-As-View Mediation for SPARQL Queries. Transactions on Large-Scale Dataand Knowledge-Centered Systems XIII, (2014)

by G Montoya, L D Ibanez, H Skaf-Molli, P Molli, M-E Vidal
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Answering SPARQL Queries using Views

by Gabriela Montoya
"... Abstract. Views are used to optimize queries and to integrate data in Databases. The data integration schema is composed of terms, they are used to pose queries to the integration system, and to describe sources data. When the data descriptions are SPARQL conjunctive queries, their number and the c ..."
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Abstract. Views are used to optimize queries and to integrate data in Databases. The data integration schema is composed of terms, they are used to pose queries to the integration system, and to describe sources data. When the data descriptions are SPARQL conjunctive queries, their number and the complexity of answering queries using them may be very high. In order to keep query answering cost low, and increase the usability of views to answer queries, we make the assumption of the simplest form of replication among services, and use triple pattern views as the Linked Data Fragments and Col-graph approaches have recently done. We propose two approaches: the SemLAV approach to integrate heterogeneous data using Local-as-View mappings to describe Linked Data and Deep Web sources, and the FEDRA approach to process queries against federations of SPARQL endpoints with replicated fragments.
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...ss queries against federations of SPARQL endpoints with replicated fragments. 1 Scene setting The Linked Data Cloud includes more than one thousand datasets.1 However, a larger number of sources is available in the Web [14], and because of their heterogeneity their usage by Semantic Web technologies and in combination with Linked Data is limited. For the Web context, Local-as-View (LAV) data integration paradigm is well suited [1], nevertheless the traditional techniques used to produce query answers, query rewritings, may be too expensive in the context of SPARQL queries and numerous sources [21]. Many of the Linked Data datasets provide SPARQL endpoints.2 These endpoints allow users to explore datasets, and even use federated SPARQL query engines to answer queries using linked data across several datasets, i.e., federated queries. Unfortunately as the number and complexity of queries posed to the endpoints increases, their availability decreases [27]. An alternative to improve data availability is to give data consumers a more active role, and use their resources to replicate data, and consequently increase the data availability [18]. As Linked Data consumers are autonomous participa...

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