�ݺ�ߣshows by User: momo54

�ݺ�ߣshows by User: momo54 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: momo54 / Sun, 22 Oct 2017 07:01:43 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: momo54 Semantic Web in the Fog of Browsers /slideshow/semantic-web-in-the-fog-of-browsers/81061415 desemweb2017-171022070143
Presentation at DeSemWeb@ISWC2017 Original slides: http://goo.gl/T9AxPd Workshop: http://iswc2017.desemweb.org/ Paper: https://openreview.net/forum?id=ByFHXFy8W&noteId=ByFHXFy8W]]>
Presentation at DeSemWeb@ISWC2017 Original slides: http://goo.gl/T9AxPd Workshop: http://iswc2017.desemweb.org/ Paper: https://openreview.net/forum?id=ByFHXFy8W&noteId=ByFHXFy8W]]> Sun, 22 Oct 2017 07:01:43 GMT /slideshow/semantic-web-in-the-fog-of-browsers/81061415 momo54@slideshare.net(momo54) Semantic Web in the Fog of Browsers momo54 Presentation at DeSemWeb@ISWC2017 Original slides: http://goo.gl/T9AxPd Workshop: http://iswc2017.desemweb.org/ Paper: https://openreview.net/forum?id=ByFHXFy8W&noteId=ByFHXFy8W <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/desemweb2017-171022070143-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Presentation at DeSemWeb@ISWC2017 Original slides: http://goo.gl/T9AxPd Workshop: http://iswc2017.desemweb.org/ Paper: https://openreview.net/forum?id=ByFHXFy8W&noteId=ByFHXFy8W

Semantic Web in the Fog of Browsers from Pascal Molli

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0 cyclades eswc2016 /slideshow/cyclades-eswc2016/62725684 finalcycladeeswc20161-160604170151
CyCLaDEs: A Decentralized Cache for Triple Pattern Fragments]]>
CyCLaDEs: A Decentralized Cache for Triple Pattern Fragments]]> Sat, 04 Jun 2016 17:01:51 GMT /slideshow/cyclades-eswc2016/62725684 momo54@slideshare.net(momo54) cyclades eswc2016 momo54 CyCLaDEs: A Decentralized Cache for Triple Pattern Fragments <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/finalcycladeeswc20161-160604170151-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> CyCLaDEs: A Decentralized Cache for Triple Pattern Fragments

cyclades eswc2016 from Pascal Molli

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0 Federated SPARQL Query Processing With Replicated Fragment /slideshow/federated-sparql-query-processing-with-replicated-fragment/53932636 presentationiswc2015-151014154006-lva1-app6891
Federated query engines allow to consume linked data from SPARQL endpoints. Replicating data fragments from different sources allows to re-organize data to better fit federated query processing of data consumers. However, existing federated query engines poorly sup- port replication. In this paper, we propose a replication-aware federated query engine that extends state-of-art federated query engine ANAPSID and FedX with Fedra, a source selection strategy that approximates the source selection problem with fragments replication (SSP-FR). For a given set of endpoints with replicated fragments and a SPARQL query, the problem is to find the endpoints to contact in order to minimize the number of tuples to transfer from endpoints to the federated query engines. We devise the Fedra source selection algorithm that approximates SSP-FR. We implement Fedra in the state-of-the-art federated query engines FedX and ANAPSID, and empirically evaluate their performance. Experimental results suggest that Fedra efficiently solves SSP-FR, reducing the number of selected SPARQL endpoints as well as the size of query intermediate results.]]>
Federated query engines allow to consume linked data from SPARQL endpoints. Replicating data fragments from different sources allows to re-organize data to better fit federated query processing of data consumers. However, existing federated query engines poorly sup- port replication. In this paper, we propose a replication-aware federated query engine that extends state-of-art federated query engine ANAPSID and FedX with Fedra, a source selection strategy that approximates the source selection problem with fragments replication (SSP-FR). For a given set of endpoints with replicated fragments and a SPARQL query, the problem is to find the endpoints to contact in order to minimize the number of tuples to transfer from endpoints to the federated query engines. We devise the Fedra source selection algorithm that approximates SSP-FR. We implement Fedra in the state-of-the-art federated query engines FedX and ANAPSID, and empirically evaluate their performance. Experimental results suggest that Fedra efficiently solves SSP-FR, reducing the number of selected SPARQL endpoints as well as the size of query intermediate results.]]> Wed, 14 Oct 2015 15:40:06 GMT /slideshow/federated-sparql-query-processing-with-replicated-fragment/53932636 momo54@slideshare.net(momo54) Federated SPARQL Query Processing With Replicated Fragment momo54 Federated query engines allow to consume linked data from SPARQL endpoints. Replicating data fragments from different sources allows to re-organize data to better fit federated query processing of data consumers. However, existing federated query engines poorly sup- port replication. In this paper, we propose a replication-aware federated query engine that extends state-of-art federated query engine ANAPSID and FedX with Fedra, a source selection strategy that approximates the source selection problem with fragments replication (SSP-FR). For a given set of endpoints with replicated fragments and a SPARQL query, the problem is to find the endpoints to contact in order to minimize the number of tuples to transfer from endpoints to the federated query engines. We devise the Fedra source selection algorithm that approximates SSP-FR. We implement Fedra in the state-of-the-art federated query engines FedX and ANAPSID, and empirically evaluate their performance. Experimental results suggest that Fedra efficiently solves SSP-FR, reducing the number of selected SPARQL endpoints as well as the size of query intermediate results. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationiswc2015-151014154006-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Federated query engines allow to consume linked data from SPARQL endpoints. Replicating data fragments from different sources allows to re-organize data to better fit federated query processing of data consumers. However, existing federated query engines poorly sup- port replication. In this paper, we propose a replication-aware federated query engine that extends state-of-art federated query engine ANAPSID and FedX with Fedra, a source selection strategy that approximates the source selection problem with fragments replication (SSP-FR). For a given set of endpoints with replicated fragments and a SPARQL query, the problem is to find the endpoints to contact in order to minimize the number of tuples to transfer from endpoints to the federated query engines. We devise the Fedra source selection algorithm that approximates SSP-FR. We implement Fedra in the state-of-the-art federated query engines FedX and ANAPSID, and empirically evaluate their performance. Experimental results suggest that Fedra efficiently solves SSP-FR, reducing the number of selected SPARQL endpoints as well as the size of query intermediate results.

Federated SPARQL Query Processing With Replicated Fragment from Pascal Molli

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0 Wise09 /slideshow/wise09/2126471 wise09-091005024530-phpapp02
presentation at WISE'09 DSMW stands for Distributed Semantic Media Wiki add multi-synchronous collaboration mode into semantic media wiki]]>
presentation at WISE'09 DSMW stands for Distributed Semantic Media Wiki add multi-synchronous collaboration mode into semantic media wiki]]> Mon, 05 Oct 2009 02:45:23 GMT /slideshow/wise09/2126471 momo54@slideshare.net(momo54) Wise09 momo54 presentation at WISE'09 DSMW stands for Distributed Semantic Media Wiki add multi-synchronous collaboration mode into semantic media wiki <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wise09-091005024530-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> presentation at WISE'09 DSMW stands for Distributed Semantic Media Wiki add multi-synchronous collaboration mode into semantic media wiki

Wise09 from Pascal Molli

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0 https://cdn.slidesharecdn.com/profile-photo-momo54-48x48.jpg?cb=1614021025 Pr. Pascal Molli graduated from Nancy University (France) and received his Ph.D. in Computer Science from Nancy University in 1996. From 1997 to September 2010, he is Associate Professor at University of Nancy. In 1998, he participated to the creation of the INRIA ECOO (Environments for Cooperation) project. In 2001, he becomes vice-head of the INRIA ECOO Team. In October 2009, he creates and leads the INRIA SCORE team. From September 2010 to current, he is Full Professor at University of Nantes and is head of GDD Team in LINA research center. Pr. Molli published more than 100 papers in software engineering, information systems, distributed systems, computer supported cooperative work (C... pagesperso.lina.univ-nantes.fr/~molli-p https://cdn.slidesharecdn.com/ss_thumbnails/desemweb2017-171022070143-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/semantic-web-in-the-fog-of-browsers/81061415 Semantic Web in the Fo... https://cdn.slidesharecdn.com/ss_thumbnails/finalcycladeeswc20161-160604170151-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/cyclades-eswc2016/62725684 cyclades eswc2016 https://cdn.slidesharecdn.com/ss_thumbnails/presentationiswc2015-151014154006-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/federated-sparql-query-processing-with-replicated-fragment/53932636 Federated SPARQL Query...