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Studies in Computational Intelligence
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Advances In Knowledge Discovery and Management, ch. 8. Ontology-based formal specifications for user-friendly geospatial data discovery / Ammar Mechouche (2013)
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Titre de série : Advances In Knowledge Discovery and Management, ch. 8 Titre : Ontology-based formal specifications for user-friendly geospatial data discovery Type de document : Chapitre/Contribution Auteurs : Ammar Mechouche , Auteur ; Nathalie Abadie
, Auteur ; Emeric Prouteau, Auteur ; Sébastien Mustière
, Auteur
Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2013 Collection : Studies in Computational Intelligence, ISSN 1860-949X num. 471 Projets : GeOnto / Conférence : EGC 2011, 11es Journées Francophones Extraction et Gestion des Connaissances 25/01/2011 28/01/2011 Brest France Proceedings Springer Importance : pp 157 - 182 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] données localisées
[Termes IGN] ontologie
[Termes IGN] outil de découverte de connaissances
[Termes IGN] spécification de produit
[Termes IGN] visualisationRésumé : (auteur) Nowadays, a huge amount of geodata is available. In this context, efficient discovery and retrieval of geographic data is a key issue to assess their fitness for use and optimal reuse. Such processes are mainly based on metadata. Over the last decade, standardization efforts have been made by the International Standard Organization (ISO) and the Open Geospatial Consortium (OGC) in the field of syntactic interoperability between geographic information components. Among existing standards, ISO-19115 standard provides an abstract specification of metadata for geospatial data discovery and exploration, ISO-19110 defines feature catalogues, and ISO-19131 defines data product specifications. Yet, information provided by these standardized metadata is not always formalized enough to enable efficient discovery, understanding and comparison of available datasets. Notably, information regarding geodata capture rules can be represented only through free text into the standard metadata (ISO 19131).More generally, geospatial database capture specifications are a very complex but very rich source of knowledge about geospatial data. They could be used with benefits in geospatial data discovery process if they would be represented in a more formal way than in existing ISO standards. In this context, we propose a model to formalize geospatial databases capture specifications. Firstly, we extend existing standards to represent information that was insufficiently formalized. Second, we propose an OWL representation of our global model. This ontological approach enables to overcome the limitations related to string-based queries and to provide efficient access to data capture information. Finally, we implement this model as a Web application allowing users to discover the available geospatial data and to access to their specifications through a user-friendly interface. Numéro de notice : H2013-003 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Chapître / contribution DOI : 10.1007/978-3-642-35855-5_8 Date de publication en ligne : 18/11/2013 En ligne : http://dx.doi.org/10.1007/978-3-642-35855-5_8 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80199 Documents numériques
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Ontology-based formal specificationsAdobe Acrobat PDF
Titre : Advances In Knowledge Discovery and Management - volume 3 Type de document : Actes de congrès Auteurs : Fabrice Guillet, Éditeur scientifique ; Bruno Pinaud, Éditeur scientifique ; Gilles Venturini, Éditeur scientifique ; Djamel Abdelkader Zighed, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2013 Collection : Studies in Computational Intelligence, ISSN 1860-949X num. 471 Conférence : EGC 2011, 11es Journées Francophones Extraction et Gestion des Connaissances 25/01/2011 28/01/2011 Brest France Proceedings Springer Importance : 222 p. ISBN/ISSN/EAN : 978-3-642-35854-8 Langues : Anglais (eng) Résumé : (éditeur) The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC’2011 Conference held in Brest, France, on January 2011. EGC stands for "Extraction et Gestion des connaissances" in French, and means "Knowledge Discovery and Management" or KDM. KDM is concerned with the works in computer science at the interface between data and knowledge; such as Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web. This book has been structured in two parts. The first part, entitled “Data Mining, classification and queries”, deals with rule and pattern mining, with topological approaches and with OLAP. The second part of the book, entitled “Ontology and Semantic”, is related to knowledge-based and user-centered approaches in KDM. Numéro de notice : 17171 Affiliation des auteurs : non IGN Nature : Actes DOI : 10.1007/978-3-642-35855-5 En ligne : http://dx.doi.org/10.1007/978-3-642-35855-5 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80200