Predicting SPARQL Query Dynamics

Author:

Moya Loustaunau Alberto1

Affiliation:

1. DCC, University of Chile, Chile

Funder

Comisión Nacional de Investigación Científica y Tecnológica

Publisher

ACM

Reference37 articles.

1. Usman Akhtar , Muhammad Bilal Amin , and Sungyoung Lee . 2017. Evaluating scheduling strategies in LOD based application . In APNOMS, Korea (South) . IEEE. Usman Akhtar, Muhammad Bilal Amin, and Sungyoung Lee. 2017. Evaluating scheduling strategies in LOD based application. In APNOMS, Korea (South). IEEE.

2. Carlos Buil Aranda , Aidan Hogan , Jürgen Umbrich , and Pierre-Yves Vandenbussche . 2013. SPARQL Web-Querying Infrastructure: Ready for Action? . In The Semantic Web - ISWC 2013 . Springer , 277–293. Carlos Buil Aranda, Aidan Hogan, Jürgen Umbrich, and Pierre-Yves Vandenbussche. 2013. SPARQL Web-Querying Infrastructure: Ready for Action?. In The Semantic Web - ISWC 2013. Springer, 277–293.

3. LODStats – An Extensible Framework for High-Performance Dataset Analytics

4. Roger Castillo Christian Rothe and Ulf Leser. [n.d.]. RDFMatView: Idexing RDF Data for SPARQL Queries. Roger Castillo Christian Rothe and Ulf Leser. [n.d.]. RDFMatView: Idexing RDF Data for SPARQL Queries.

5. Soheila Dehghanzadeh , Josiane Xavier Parreira , Marcel Karnstedt , Jürgen Umbrich , Manfred Hauswirth , and Stefan Decker . 2014. Optimizing SPARQL Query Processing on Dynamic and Static Data Based on Query Time/Freshness Requirements Using Materialization . In JIST 2014 , Thailand. Springer , 257–270. Soheila Dehghanzadeh, Josiane Xavier Parreira, Marcel Karnstedt, Jürgen Umbrich, Manfred Hauswirth, and Stefan Decker. 2014. Optimizing SPARQL Query Processing on Dynamic and Static Data Based on Query Time/Freshness Requirements Using Materialization. In JIST 2014, Thailand. Springer, 257–270.

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