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An inference-based framework to manage data provenance in geoscience applications / Mohammad Rezwanul Huq in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5113 - 5130 Titre : An inference-based framework to manage data provenance in geoscience applications Type de document : Article/Communication Auteurs : Mohammad Rezwanul Huq, Auteur ; Peter M.G. Apers, Auteur ; Andreas Wombacher, Auteur Année de publication : 2013 Article en page(s) : pp 5113 - 5130 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] flux de travaux [Termes IGN] inférence [Termes IGN] moteur d'inférence [Termes IGN] source de données [Termes IGN] synergiciel [Termes IGN] traitement de données localisées Résumé : (Auteur) Data provenance allows scientists to validate their model as well as to investigate the origin of an unexpected value. Furthermore, it can be used as a replication recipe for output data products. However, capturing provenance requires enormous effort by scientists in terms of time and training. First, they need to design the workflow of the scientific model, i.e., workflow provenance, which requires both time and training. However, in practice, scientists may not document any workflow provenance before the model execution due to the lack of time and training. Second, they need to capture provenance while the model is running, i.e., fine-grained data provenance. Explicit documentation of fine-grained provenance is not feasible because of the massive storage consumption by provenance data in the applications, including those from the geoscience domain where data are continuously arriving and are processed. In this paper, we propose an inference-based framework, which provides both workflow and fine-grained data provenance at a minimal cost in terms of time, training, and disk consumption. Our proposed framework is applicable to any given scientific model, and is capable of handling different model dynamics, such as variation in the processing time as well as input data products arrival pattern. Our evaluation of the framework in a real use case with geospatial data shows that the proposed framework is relevant and suitable for scientists in geoscientific domain. Numéro de notice : A2013-613 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2247769 En ligne : https://doi.org/10.1109/TGRS.2013.2247769 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32749 [article]

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Proceedings of the fifteenth international conference on very large data bases, August 22-25, 1989, Amsterdam, The Netherlands / Peter M.G. Apers (1989)  

Public Titre : Proceedings of the fifteenth international conference on very large data bases, August 22-25, 1989, Amsterdam, The Netherlands Type de document : Actes de congrès Auteurs : Peter M.G. Apers, Éditeur scientifique ; Gio Wiederhold, Éditeur scientifique Editeur : San Mateo [Californie - Etats-Unis] : Morgan Kaufmann Publishers Année de publication : 1989 Conférence : VLDB 1989, 15th international conference on very large data bases 22/08/1989 25/08/1989 Amsterdam Pays-Bas Importance : 467 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-1-55860-101-7 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique [Termes IGN] arbre (mathématique) [Termes IGN] base de données [Termes IGN] base de données orientée objet [Termes IGN] base de données temporelles [Termes IGN] interface graphique [Termes IGN] modèle conceptuel de données [Termes IGN] optimisation (mathématiques) [Termes IGN] requête (informatique) Index. décimale : CG1989 Actes de congrès en 1989 Note de contenu : Session 1 Key-note speech Session 2A Panel session Session 2B Data models and modeling Session 3A Extensibles databases and data structures Session 3B Parallelism Session 4A Graphical interfaces Session 4B Parallelism Session 5A Recursive query optimization Session 5B Panel session Session 6A Recursive query optimization Session 6B Temporal databases Session 7A Derived data and constraints Session 7B Allocation and optimization Session 8A Panel session Session 8B Statistics and statistical databases Session 9A Complex Objects Session 9B Recovery and concurency control Session 10A Object management Session 10B Priority scheduling Session 11A Languages for OODB Session 11B Panel session Session 12A Active databases Session 12B Panel session Numéro de notice : 21100 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes En ligne : http://www.vldb.org/dblp/db/conf/vldb/vldb89.html Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89908

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