منابع مشابه
Flexible query processing for SPARQL
Flexible querying techniques can enhance users’ access to complex, heterogeneous datasets in settingssuch as Linked Data, where the user may not always know how a query should be formulated in order to retrievethe desired answers. This paper presents query processing algorithms for a fragment of SPARQL 1.1 incorporatingregular path queries (property path queries), extended with quer...
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The number of linked data sources available on the Web is growing at a rapid rate. Moreover, users are showing an interest for any framework that allows them to obtain answers, for a formulated query, accessing heterogeneous data sources without the need of explicitly specifying the sources to answer the query. Our proposal focus on that interest and its goal is to build a system capable of ans...
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Efficient source selection and optimized query plan generation belong to the most important optimization steps in federated query processing. This paper presents a demo of CostFed, an index-assisted federation engine for federated SPARQL query processing. CostFed’s source selection and query planning is based on the index generated from the SPARQL endpoints. The key innovation behind CostFed is...
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The number and the size of linked open data graphs keep growing at a fast pace and confronts semantic RDF services with problems characterized as Big data. Distributed query processing is one of them and needs to be efficiently addressed with execution guaranteeing scalability, high availability and fault tolerance. RDF data management systems requiring these properties are rarely built from sc...
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In this paper we discuss PigSPARQL, a competitive yet easy to use SPARQL query processing system on MapReduce that allows adhoc SPARQL query processing on large RDF graphs out of the box. Instead of a direct mapping, PigSPARQL uses the query language of Pig, a data analysis platform on top of Hadoop MapReduce, as an intermediate layer between SPARQL and MapReduce. This additional level of abstr...
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ژورنال
عنوان ژورنال: Semantic Web
سال: 2017
ISSN: 2210-4968,1570-0844
DOI: 10.3233/sw-150206