�ݺ�ߣshows by User: rchiky

�ݺ�ߣshows by User: rchiky / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: rchiky / Mon, 08 Dec 2014 09:37:00 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: rchiky Introduction to Data streaming - 05/12/2014 /slideshow/dds-workshop05122014/42474751 ddsworkshop05122014-141208093700-conversion-gate02
Data streaming Big Data]]>
Data streaming Big Data]]> Mon, 08 Dec 2014 09:37:00 GMT /slideshow/dds-workshop05122014/42474751 rchiky@slideshare.net(rchiky) Introduction to Data streaming - 05/12/2014 rchiky Data streaming Big Data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ddsworkshop05122014-141208093700-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Data streaming Big Data

Introduction to Data streaming - 05/12/2014 from Raja Chiky

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0 Seminaire bigdata23102014 /slideshow/seminaire-bigdata23102014/40670018 seminairebigdata23102014-141024023018-conversion-gate02
Big Data : Opportunities and Challenges]]>
Big Data : Opportunities and Challenges]]> Fri, 24 Oct 2014 02:30:17 GMT /slideshow/seminaire-bigdata23102014/40670018 rchiky@slideshare.net(rchiky) Seminaire bigdata23102014 rchiky Big Data : Opportunities and Challenges <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/seminairebigdata23102014-141024023018-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Big Data : Opportunities and Challenges

Seminaire bigdata23102014 from Raja Chiky

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0 Toward Semantic Data Stream - Technologies and Applications /slideshow/semantic-datastream-rc/33361073 semanticdatastream-rc-140410050534-phpapp02
Massive data stream processing is a scientific challenge and an industrial concern. But with the current volumes of data streams , their number and variety, current techniques are not able to meet the requirements of applications. The Semantic Web tools , through the RDF for example, allow to address the problem of heterogeneous data. Thus, the data stream are converted to semantic data stream by using RDF triples extended with a timestamp. To be able to query , filter, or reason semantic data streams, the query language SPARQL must be extended to include concepts such as windowing , based on what has been done in Data Stream Management Systems. In this talk, I will present recent work on the semantic data stream management , particularly extensions made on SPARQL language and associated benchmarks.]]>
Massive data stream processing is a scientific challenge and an industrial concern. But with the current volumes of data streams , their number and variety, current techniques are not able to meet the requirements of applications. The Semantic Web tools , through the RDF for example, allow to address the problem of heterogeneous data. Thus, the data stream are converted to semantic data stream by using RDF triples extended with a timestamp. To be able to query , filter, or reason semantic data streams, the query language SPARQL must be extended to include concepts such as windowing , based on what has been done in Data Stream Management Systems. In this talk, I will present recent work on the semantic data stream management , particularly extensions made on SPARQL language and associated benchmarks.]]> Thu, 10 Apr 2014 05:05:34 GMT /slideshow/semantic-datastream-rc/33361073 rchiky@slideshare.net(rchiky) Toward Semantic Data Stream - Technologies and Applications rchiky Massive data stream processing is a scientific challenge and an industrial concern. But with the current volumes of data streams , their number and variety, current techniques are not able to meet the requirements of applications. The Semantic Web tools , through the RDF for example, allow to address the problem of heterogeneous data. Thus, the data stream are converted to semantic data stream by using RDF triples extended with a timestamp. To be able to query , filter, or reason semantic data streams, the query language SPARQL must be extended to include concepts such as windowing , based on what has been done in Data Stream Management Systems. In this talk, I will present recent work on the semantic data stream management , particularly extensions made on SPARQL language and associated benchmarks. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semanticdatastream-rc-140410050534-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Massive data stream processing is a scientific challenge and an industrial concern. But with the current volumes of data streams , their number and variety, current techniques are not able to meet the requirements of applications. The Semantic Web tools , through the RDF for example, allow to address the problem of heterogeneous data. Thus, the data stream are converted to semantic data stream by using RDF triples extended with a timestamp. To be able to query , filter, or reason semantic data streams, the query language SPARQL must be extended to include concepts such as windowing , based on what has been done in Data Stream Management Systems. In this talk, I will present recent work on the semantic data stream management , particularly extensions made on SPARQL language and associated benchmarks.

Toward Semantic Data Stream - Technologies and Applications from Raja Chiky

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0 https://cdn.slidesharecdn.com/profile-photo-rchiky-48x48.jpg?cb=1674811749 Raja Chiky is currently Associate Professor at ISEP where she is head of the RDI team(Research and development in Information Technology) and responsible for database and data mining courses. She holds a Ph.D. in Computer Science from Telecom ParisTech obtained after a Master degree in data mining and an engineering degree in computer science. Before joining ISEP, she taught statistics, databases and language programming at the University of Paris Dauphine, University Paris 12 and Telecom ParisTech. She worked closely with EDF R&D on research projects related to data stream mining. Her research interests include statistics, data mining, data warehousing, data stream management, recomme... http://perso.isep.fr/rchiky https://cdn.slidesharecdn.com/ss_thumbnails/ddsworkshop05122014-141208093700-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dds-workshop05122014/42474751 Introduction to Data s... https://cdn.slidesharecdn.com/ss_thumbnails/seminairebigdata23102014-141024023018-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/seminaire-bigdata23102014/40670018 Seminaire bigdata23102014 https://cdn.slidesharecdn.com/ss_thumbnails/semanticdatastream-rc-140410050534-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/semantic-datastream-rc/33361073 Toward Semantic Data S...