Matches in ScholarlyData for { ?s ?p ?o. }
- item-2 hasContent laura-dragan.
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- item-3 hasContent siegfried-handschuh.
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- item-4 hasContent stefan-decker.
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- 207 creator jens-lehmann.
- 207 creator sebastian-hellmann.
- 207 creator soeren-auer.
- 207 type InProceedings.
- 207 label "LinkedGeoData - Adding a Spatial Dimension to the Web of Data".
- 207 sameAs 207.
- 207 abstract "In order to employ the Web as a medium for data and information integration, comprehensive datasets and vocabularies are required as they enable the disambiguation and alignment of other data and information. Many real-life information integration and aggregation tasks are impossible without comprehensive background knowledge related to spatial features of the ways, structures and landscapes surrounding us. In this paper we contribute to the generation of a spatial dimension for the Data Web by elaborating on how the collaboratively collected OpenStreetMap data can be transformed and represented adhering to the RDF data model. We describe how this data can be interlinked with other spatial data sets, how it can be made accessible for machines according to the linked data paradigm and for humans by means of a faceted geo-data browser.".
- 207 hasAuthorList authorList.
- 207 hasTopic Semantic_Web.
- 207 isPartOf proceedings.
- 207 title "LinkedGeoData - Adding a Spatial Dimension to the Web of Data".
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- item-1 hasContent soeren-auer.
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- item-2 hasContent jens-lehmann.
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- 208 creator kemafor-anyanwu.
- 208 creator padmashree-ravindra.
- 208 creator radhika-sridhar.
- 208 type InProceedings.
- 208 label "RAPID: Enabling Scalable Ad-Hoc Analytics on the Semantic Web".
- 208 sameAs 208.
- 208 abstract "As the amount of available RDF data continues to increase steadily, there is growing interest in developing efficient methods for analyzing such data. While recent efforts have focused on developing efficient methods for traditional data processing, analytical processing which typically involves more complex queries has received much less attention. The use of cost effective parallelization techniques such as Googles Map-Reduce offer significant promise for achieving Web scale analytics. However, currently available implementations are designed for simple data processing on structured data. In this paper, we present a language, RAPID, for scalable ad-hoc analytical processing of RDF data on Map-Reduce frameworks. It builds on Yahoos Pig Latin by introducing primitives based on a specialized join operator, the MD-join, for expressing analytical tasks in a manner that is more amenable to parallel processing, as well as primitives for coping with semi-structured nature of RDF data. Experimental evaluation results demonstrate significant performance improvements for analytical processing of RDF data over existing Map-Reduce based techniques".
- 208 hasAuthorList authorList.
- 208 hasTopic Semantic_Web.
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- 208 title "RAPID: Enabling Scalable Ad-Hoc Analytics on the Semantic Web".
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- item-1 hasContent radhika-sridhar.
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- item-2 hasContent padmashree-ravindra.
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- item-3 hasContent kemafor-anyanwu.
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- 213 creator alain-barrat.
- 213 creator ciro-cattuto.
- 213 creator gianluca-correndo.
- 213 creator harith-alani.
- 213 creator martin-szomszor.
- 213 creator wouter-van-den-broeck.
- 213 type InProceedings.
- 213 label "Live Social Semantics".
- 213 sameAs 213.
- 213 abstract "Social interactions are one of the key factors to the success of conferences and similar community gatherings. This paper describes a novel application that integrates data from the semantic web, online social networks, and a real-world contact sensing platform. This application was successfully deployed at ESWC09, and actively used by 139 people. Personal profiles of the participants were automatically generated using several Web~2.0 systems and semantic academic data sources, and integrated in real-time with face-to-face contact networks derived from wearable sensors. Integration of all these heterogeneous data layers made it possible to offer various services to conference attendees to enhance their social experience such as visualisation of contact data, and a site to explore and connect with other participants. This paper describes the architecture of the application, the services we provided, and the results we achieved in this deployment.".
- 213 hasAuthorList authorList.
- 213 hasTopic Semantic_Web.
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- 213 title "Live Social Semantics".
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- item-1 hasContent harith-alani.
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- item-2 hasContent martin-szomszor.
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- item-3 hasContent ciro-cattuto.
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