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- paper-56 type InProceedings.
- paper-56 label "D-SPARQ: Distributed, Scalable and Efficient RDF Query Engine".
- paper-56 sameAs paper-56.
- paper-56 abstract "We present D-SPARQ, a distributed RDF query engine that combines the MapReduce processing framework with a NoSQL distributed data store, MongoDB. The performance of processing SPARQL queries mainly depends on the efficiency of handling the join operations between the RDF triple patterns. Our system features two unique characteristics that enable efficiently tackling this challenge: 1) Identifying specific patterns of the input queries that enable improving the performance by running different parts of the query in a parallel mode. 2) Using the triple selectivity information for reordering the individual triples of the input query within the identified query patterns. The preliminary results demonstrate the scalability and efficiency of our distributed RDF query engine.".
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- paper-56 title "D-SPARQ: Distributed, Scalable and Efficient RDF Query Engine".
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- item-1 hasContent raghava-mutharaju.
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- paper-57 type InProceedings.
- paper-57 label "Efficient Computation of Relationship-Centrality in Large Entity-Relationship Graphs".
- paper-57 sameAs paper-57.
- paper-57 abstract "Given two sets of entities – potentially the results of two queries on aknowledge graph like YAGO or DBpedia – characterizing the relationship betweenthese sets in the form of important people, events and organizations is an analyticstask useful in many domains. In this paper, we present an intuitive and efficientlycomputable vertex centrality measure that captures the importance of a nodewith respect to the explanation of the relationship between the pair of query sets.Using a weighted link graph of entities contained in the English Wikipedia, wedemonstrate the usefulness of the proposed measure.".
- paper-57 hasAuthorList authorList.
- paper-57 isPartOf poster-demo-proceedings.
- paper-57 title "Efficient Computation of Relationship-Centrality in Large Entity-Relationship Graphs".
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- item-2 hasContent srikanta-j-bedathur.
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- paper-58 type InProceedings.
- paper-58 label "A Hybrid Natural Language Approach to Manage Semantic Interoperability for Public Health Analytics".
- paper-58 sameAs paper-58.
- paper-58 abstract "This paper discusses the integration of an ontology with a natural language query engine to calculate and interpret epidemiological indicators for population health assessments. In this paper, we discuss the application of this approach to one type of possible query, which retrieves health determinants, causally associated with diabetes mellitus.".
- paper-58 hasAuthorList authorList.
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- paper-58 title "A Hybrid Natural Language Approach to Manage Semantic Interoperability for Public Health Analytics".
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- item-1 hasContent maxime-lavigne.
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- item-2 hasContent arash-shaban-nejad.
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- item-3 hasContent anya-okhmatovskaia.
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- item-4 hasContent luke-mondor.
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- item-5 hasContent david-l-buckeridge.
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- paper-59 type InProceedings.
- paper-59 label "Towards the Natural Ontology of Wikipedia".
- paper-59 sameAs paper-59.
- paper-59 abstract "In this paper we present preliminary results on the extraction of ORA: the Natural Ontology of Wikipedia. ORA is obtained through an automatic process that analyses the natural language definitions of DBpedia entities provided by their Wikipedia pages. Hence, this ontology reflects the richness of terms used and agreed by the crowds, and can be updated periodically according to the evolution of Wikipedia.".