Publikation: Continuous Queries and Real-time Analysis of Social Semantic Data with C-SPARQL
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2009
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BRESLIN, Urs, ed. and others. Proceedings of the 2nd Workshop on Social Data on the Web (SDoW2009), collocated with the 8th International Semantic Web Conference (ISWC-2009). 2009. CEUR Workshop Proceedings. 520. ISSN 1613-0073
Zusammenfassung
Social semantic data are becoming a reality, but apparently their streaming nature has been ignored so far. Streams, being unboun- ded sequences of time-varying data elements, should not be treated as persistent data to be stored “forever” and queried on demand, but rather as transient data to be consumed on the fly by queries which are regis- tered once and for all and keep analyzing such streams, producing an- swers triggered by the streaming data and not by explicit invocation. In this paper, we propose an approach to continuous queries and real- time analysis of social semantic data with C-SPARQL, an extension of SPARQL for querying RDF streams.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Continuous SPARQL, Social Semantic Data, Continuous Query, Real-time Analysis
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ISWC 2009 : Second Workshop on Social Data on the Web (SDoW2009), 25. Okt. 2009, Washington DC, USA
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BARBIERI, Davide Francesco, Daniele BRAGA, Stefano CERI, Emanuele DELLA VALLE, Michael GROSSNIKLAUS, 2009. Continuous Queries and Real-time Analysis of Social Semantic Data with C-SPARQL. ISWC 2009 : Second Workshop on Social Data on the Web (SDoW2009). Washington DC, USA, 25. Okt. 2009. In: BRESLIN, Urs, ed. and others. Proceedings of the 2nd Workshop on Social Data on the Web (SDoW2009), collocated with the 8th International Semantic Web Conference (ISWC-2009). 2009. CEUR Workshop Proceedings. 520. ISSN 1613-0073BibTex
@inproceedings{Barbieri2009Conti-33608,
year={2009},
title={Continuous Queries and Real-time Analysis of Social Semantic Data with C-SPARQL},
url={http://ceur-ws.org/Vol-520/paper02.pdf},
number={520},
issn={1613-0073},
series={CEUR Workshop Proceedings},
booktitle={Proceedings of the 2nd Workshop on Social Data on the Web (SDoW2009), collocated with the 8th International Semantic Web Conference (ISWC-2009)},
editor={Breslin, Urs},
author={Barbieri, Davide Francesco and Braga, Daniele and Ceri, Stefano and Della Valle, Emanuele and Grossniklaus, Michael}
}RDF
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<dc:contributor>Braga, Daniele</dc:contributor>
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<dcterms:abstract xml:lang="eng">Social semantic data are becoming a reality, but apparently their streaming nature has been ignored so far. Streams, being unboun- ded sequences of time-varying data elements, should not be treated as persistent data to be stored “forever” and queried on demand, but rather as transient data to be consumed on the fly by queries which are regis- tered once and for all and keep analyzing such streams, producing an- swers triggered by the streaming data and not by explicit invocation. In this paper, we propose an approach to continuous queries and real- time analysis of social semantic data with C-SPARQL, an extension of SPARQL for querying RDF streams.</dcterms:abstract>
<dc:language>eng</dc:language>
<dc:contributor>Barbieri, Davide Francesco</dc:contributor>
<dc:rights>terms-of-use</dc:rights>
<dc:creator>Braga, Daniele</dc:creator>
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</rdf:RDF>Interner Vermerk
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2016-04-19
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