Article

SemLAV: Querying Deep Web and Linked Open Data with SPARQL

Authors:

Maria-Esther VidalAuthors Info & Claims

The Semantic Web: ESWC 2014 Satellite Events

Pages 332 - 337

https://doi.org/10.1007/978-3-319-11955-7_44

Published: 11 March 2022 Publication History

Abstract

SemLAV allows to execute SPARQL queries against the Deep Web and Linked Open Data data sources. It implements the mediator-wrapper architecture based on view definitions over remote data sources. SPARQL queries are expressed using a mediator schema vocabulary, and SemLAV selects relevant data sources and rank them. The ranking strategy is designed to deliver results quickly based only on view definitions, i.e., no statistics, nor probing on sources are required. In this demonstration, we validate the effectiveness of SemLAV approach with real data sources from social networks and Linked Open Data. We show in different setups that materializing only a subset of ranked relevant views is enough to deliver significant part of expected results.

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Montoya, G., Ibáñez, L.-D., Skaf-Molli, H., Molli, P., Vidal, M.-E.: SemLAV: local-as-view mediation for SPARQL queries. In: Hameurlain, A., Küng, J., Wagner, R. (eds.) TLDKS XIII 2014. LNCS, vol. 8420, pp. 31–56. Springer, Heidelberg (2014)

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Index Terms

SemLAV: Querying Deep Web and Linked Open Data with SPARQL
1. Information systems
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
      1. Database query processing and optimization (theory)

Index terms have been assigned to the content through auto-classification.

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Information

Published In

The Semantic Web: ESWC 2014 Satellite Events

537 pages

ISBN:978-3-319-11954-0

DOI:10.1007/978-3-319-11955-7

Editors:
Valentina Presutti
ISTC-CNR, Rome, Italy
,
Eva Blomqvist
Linköping University, Linköping, Sweden
,
Raphael Troncy
EURECOM, Biot, France
,
Harald Sack
Hasso-Plattner-Institut, Potsdam, Germany
,
Ioannis Papadakis
Ionian University, Corfu, Greece
,
Anna Tordai
Elsevier B.V., Amsterdem, The Netherlands

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Springer-Verlag

Berlin, Heidelberg

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Published: 11 March 2022

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Rewriting queries on SPARQL views

Efficiently Pinpointing SPARQL Query Containments

LDQL: A Query Language for the Web of Linked Data

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Rewriting queries on SPARQL views

Efficiently Pinpointing SPARQL Query Containments

LDQL: A Query Language for the Web of Linked Data

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