Matches in ScholarlyData for { ?s ?p ?o. }
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- paper-40 type InProceedings.
- paper-40 label "RDFChain: Chain Centric Storage for Scalable Join Processing of RDF Graphs using MapReduce and HBase".
- paper-40 sameAs paper-40.
- paper-40 abstract "As a massive linked open data is available in RDF, the scalable storage and efficient retrieval using MapReduce have been actively studied. Most of previous researches focus on reducing the number of MapReduce jobs for processing join operations in SPARQL queries. However, the cost of shuffle phase still occurs due to their reduce-side joins. In this paper, we propose RDFChain which supports the scalable storage and efficient retrieval of a large volume of RDF data using a combination of MapReduce and HBase which is NoSQL storage system. Since the proposed storage schema of RDFChain reflects all the possible join patterns of queries, it provides a reduced number of storage accesses depending on the join pattern of a query. In addition, the proposed cost-based map-side join of RDFChain reduces the number of map jobs since it processes as many joins as possible in a map job using statistics.".
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- paper-40 title "RDFChain: Chain Centric Storage for Scalable Join Processing of RDF Graphs using MapReduce and HBase".
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- item-3 hasContent kyong-ho-lee.
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- paper-41 type InProceedings.
- paper-41 label "ActiveRaUL: A Web form-based User Interface to create and maintain RDF data".
- paper-41 sameAs paper-41.
- paper-41 abstract "With the advent of Linked Data the amount of automatically generated machine-readable data on the Web, often obtained by means of mapping relational data to RDF, has risen significantly. However, manually created, quality-assured and crowd-sourced data based on ontologies, is not available in the quantities that would realise the full potential of the semantic Web. One of the barriers for semantic Web novices to create machine-readable data, is the lack of easy-to-use Web publishing tools that separate the schema modelling from the data creation. In this demonstration we present ActiveRaUL, a Web service that supports the automatic generation of Web form-based user interfaces from any input ontology. The resulting Web forms are unique in supporting users, inexperienced in semantic Web technologies, to create and maintain RDF data modelled according to an ontology. We report on a use case based on the Sensor Network Ontology that supports the viability of our approach.".
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- paper-41 title "ActiveRaUL: A Web form-based User Interface to create and maintain RDF data".
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- paper-42 type InProceedings.
- paper-42 label "XLore: A Large-scale English-Chinese Bilingual Knowledge Graph".
- paper-42 sameAs paper-42.
- paper-42 abstract "Current Wikipedia-based multilingual knowledge bases still suffer the following problems: (i) the scarcity of non-English knowledge, (ii) the noise in the semantic relations and (iii) the limited coverage of equivalent cross-lingual entities. In this demo, we present a large-scale bilingual knowledge graph named XLore, which has adequately solved the above problems.".
- paper-42 hasAuthorList authorList.
- paper-42 isPartOf poster-demo-proceedings.
- paper-42 title "XLore: A Large-scale English-Chinese Bilingual Knowledge Graph".
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