Information for "Querying over Federated SPARQL Endpoints : A State of the Art Survey"

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Display titleQuerying over Federated SPARQL Endpoints : A State of the Art Survey
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Page creatorSaid (talk | contribs)
Date of page creation13:13, 26 March 2018
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Retrieved from "https://www.openresearch.org/wiki/Querying_over_Federated_SPARQL_Endpoints_:_A_State_of_the_Art_Survey"
Facts about "Querying over Federated SPARQL Endpoints : A State of the Art Survey"
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Event in seriesArXiv +
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Has abstractThe increasing amount of Linked Data and i …
The increasing amount of Linked Data and its inherent distributed nature have attracted significant attention throughout the research community and amongst practitioners to search data, in the past years. Inspired by research results from traditional distributed databases, different approaches for managing federation over SPARQL Endpoints have been introduced. SPARQL is the standardised query language for RDF, the default data model used in Linked Data deployments and SPARQL Endpoints are a popular access mechanism provided by many Linked Open Data (LOD) repositories. In this paper, we initially give an overview of the federation framework infrastructure and then proceed with a comparison of existing SPARQL federation frameworks. Finally, we highlight shortcomings in existing frameworks, which we hope helps spawning new research directions.
pe helps spawning new research directions. +
Has authorsNur Aini Rakhmawati +, J. Umbrich +, Marcel Karnstedt +, Ali Hasnain + and Michael Hausenblas +
Has conclusionFederation query over SPARQL Endpoints mad …
Federation query over SPARQL Endpoints made a significant progress in the recent years. Although

a number of federation frameworks have already been developed, the field is still relatively far from maturity. Based on our experience with the existing federation frameworks, the frameworks mostly

focus on source selection and join optimization during query execution. In this work, we have presented a list of federation frameworks over SPARQL Endpoints along with their features. According to this list, the user can have considerations to choose the suitable federation framework for their case. We have classied those framework into three categories: i) framework interprets SPARQL 1.1 query to execute federation SPARQL query covering VALUES and SERVICE operator; ii) framework handles SPARQL 1.0 query and has responsibility to find relevant source for a query and join incoming result from SPARQL Endpoints; and iii) framework accepts SPARQL 1.0 and translate the incoming query to SPARQL 1.1 format. Based on the current generation of federation frameworks surveyed in this paper, it still requires further improvements to make frameworks more effective in a broader range of applications. We suggested several features that could be included in the future developments. Finally, we point out challenges for future research directions.
challenges for future research directions. +
Has future work{{{Future work}}} +
Has keywordsFederation, SPARQL, RDF, Linked Data. +
Has motivation{{{Motivation}}} +
Has platform{{{Platform}}} +
Has subjectQuerying Distributed RDF Data Sources +
Has vendor{{{vendor}}} +
Has year2013 +
Proposes Algorithm{{{ProposesAlgorithm}}} +
TitleQuerying over Federated SPARQL Endpoints : A State of the Art Survey +
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