Pascal Molli | Université de Nantes (original) (raw)
Supervisors: Claude Godart
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Graduate Center of the City University of New York
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Papers by Pascal Molli
Lecture Notes in Computer Science, 2015
Abstract The world is witnessing a dramatic increase in the availability of knowledge and informa... more Abstract The world is witnessing a dramatic increase in the availability of knowledge and information due to the proliferation of the Internet. Virtual enterprises are new collaboration models, which enable the sharing of knowledge within and across organizations over the Internet. The chapter is concerned with both providing a knowledge-sharing infrastructure to facilitate collaborative work in virtual enterprises, as well as introducing a methodology for designing groupware for enhancing collaboration in
Data replication and deployment of local SPARQL endpoints improve scalability and availability of... more Data replication and deployment of local SPARQL endpoints improve scalability and availability of public SPARQL endpoints, making the consumption of Linked Data a reality. This solution requires synchronization and specific query processing strategies to take advantage of replication. However, existing replication aware techniques in federations of SPARQL endpoints do not consider data dynamicity. We propose Fedra, an approach for querying federations of endpoints that benefits from replication. Participants in Fedra federations can copy fragments of data from several datasets, and describe them using provenance and views. These descriptions enable Fedra to reduce the number of selected endpoints while satisfying user divergence requirements. Experiments on real-world datasets suggest savings of up to three orders of magnitude.
Federation of plugs makes users real owners of their data i.e., there is no a third party provide... more Federation of plugs makes users real owners of their data i.e., there is no a third party provider that hosts personal data with a service agreement. This allows end-users to define their own policies for their data and services. Therefore, data can be shared with personal policies specifying what can be done and what is forbidden, without depending on a collaboration provider. Consequently, it prevents information asymmetry problems and abusive usage of personal data.Our work focuses on the problem of:"How to ensure usage control in community-regulated federations"?This problem is related to usage control (UCON) [PS02b, Zha06], a model that emerged recently as a so- lution for modern applications to preserve access control in open, distributed, heterogeneous, and network- connected environments. The particularities of UCON are continuity of access decision evaluation and mutability of several properties (i.e., attributes of subjects or objects) considered during the acces...
L'édition collaborative massive devient une réalité par le biais de grands projets t... more L'édition collaborative massive devient une réalité par le biais de grands projets tels que la Wikipédia. Cette collaboration massive est actuellement soutenue par un service central coûteux. An d'éviter ces coûts, nous visons à fournir un système d'édition collaborative pair-à-pair. Les approches existantes pour construire des systèmes d'édition collaborative distribuée ne supportent pas le passage à l'échelle en terme de nombre d'utilisateurs ou en terme de nombre d'éditions. Dans ce papier, nous présentons une amélioration de l' ...
Techniques et sciences informatiques, 2003
RÉSUMÉ. Ce document est le résultat d&amp... more RÉSUMÉ. Ce document est le résultat d'un travail collectif réalisé par les membres de l'action spécifique CNRS «Mobilité/Accès aux données». Il fait le point sur l'état d'avancement des travaux réalisés dans le domaine des bases de données mobiles et identifie quelques orientations de recherche jugées particulièrement pertinentes. Compte tenu de la largeur du domaine, ce document ne prétend cependant pas à l'exhaustivité. Après une classification des applications mobiles et une caractérisation de leur ...
Journées Bases de Données Avancées, 1995
Data replication and deployment of local SPARQL endpoints improve scalability and availability of... more Data replication and deployment of local SPARQL endpoints improve scalability and availability of public SPARQL endpoints, making the consumption of Linked Data a reality. This solution requires synchronization and specific query processing strategies to take advantage of replication. However, existing replication aware techniques in federations of SPARQL endpoints do not consider data dynamicity. We propose Fedra, an approach for querying federations of endpoints that benefits from replication. Participants in Fedra federations can copy fragments of data from several datasets, and describe them using provenance and views. These descriptions enable Fedra to reduce the number of selected endpoints while satisfying user divergence requirements. Experiments on real-world datasets suggest savings of up to three orders of magnitude.
Lecture Notes in Computer Science, 2015
Abstract The world is witnessing a dramatic increase in the availability of knowledge and informa... more Abstract The world is witnessing a dramatic increase in the availability of knowledge and information due to the proliferation of the Internet. Virtual enterprises are new collaboration models, which enable the sharing of knowledge within and across organizations over the Internet. The chapter is concerned with both providing a knowledge-sharing infrastructure to facilitate collaborative work in virtual enterprises, as well as introducing a methodology for designing groupware for enhancing collaboration in
Data replication and deployment of local SPARQL endpoints improve scalability and availability of... more Data replication and deployment of local SPARQL endpoints improve scalability and availability of public SPARQL endpoints, making the consumption of Linked Data a reality. This solution requires synchronization and specific query processing strategies to take advantage of replication. However, existing replication aware techniques in federations of SPARQL endpoints do not consider data dynamicity. We propose Fedra, an approach for querying federations of endpoints that benefits from replication. Participants in Fedra federations can copy fragments of data from several datasets, and describe them using provenance and views. These descriptions enable Fedra to reduce the number of selected endpoints while satisfying user divergence requirements. Experiments on real-world datasets suggest savings of up to three orders of magnitude.
Federation of plugs makes users real owners of their data i.e., there is no a third party provide... more Federation of plugs makes users real owners of their data i.e., there is no a third party provider that hosts personal data with a service agreement. This allows end-users to define their own policies for their data and services. Therefore, data can be shared with personal policies specifying what can be done and what is forbidden, without depending on a collaboration provider. Consequently, it prevents information asymmetry problems and abusive usage of personal data.Our work focuses on the problem of:"How to ensure usage control in community-regulated federations"?This problem is related to usage control (UCON) [PS02b, Zha06], a model that emerged recently as a so- lution for modern applications to preserve access control in open, distributed, heterogeneous, and network- connected environments. The particularities of UCON are continuity of access decision evaluation and mutability of several properties (i.e., attributes of subjects or objects) considered during the acces...
L'édition collaborative massive devient une réalité par le biais de grands projets t... more L'édition collaborative massive devient une réalité par le biais de grands projets tels que la Wikipédia. Cette collaboration massive est actuellement soutenue par un service central coûteux. An d'éviter ces coûts, nous visons à fournir un système d'édition collaborative pair-à-pair. Les approches existantes pour construire des systèmes d'édition collaborative distribuée ne supportent pas le passage à l'échelle en terme de nombre d'utilisateurs ou en terme de nombre d'éditions. Dans ce papier, nous présentons une amélioration de l' ...
Techniques et sciences informatiques, 2003
RÉSUMÉ. Ce document est le résultat d&amp... more RÉSUMÉ. Ce document est le résultat d'un travail collectif réalisé par les membres de l'action spécifique CNRS «Mobilité/Accès aux données». Il fait le point sur l'état d'avancement des travaux réalisés dans le domaine des bases de données mobiles et identifie quelques orientations de recherche jugées particulièrement pertinentes. Compte tenu de la largeur du domaine, ce document ne prétend cependant pas à l'exhaustivité. Après une classification des applications mobiles et une caractérisation de leur ...
Journées Bases de Données Avancées, 1995
Data replication and deployment of local SPARQL endpoints improve scalability and availability of... more Data replication and deployment of local SPARQL endpoints improve scalability and availability of public SPARQL endpoints, making the consumption of Linked Data a reality. This solution requires synchronization and specific query processing strategies to take advantage of replication. However, existing replication aware techniques in federations of SPARQL endpoints do not consider data dynamicity. We propose Fedra, an approach for querying federations of endpoints that benefits from replication. Participants in Fedra federations can copy fragments of data from several datasets, and describe them using provenance and views. These descriptions enable Fedra to reduce the number of selected endpoints while satisfying user divergence requirements. Experiments on real-world datasets suggest savings of up to three orders of magnitude.