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Pattern matching for heterogeneous geodata sources using attributed relational graph and probabilistic relaxation / S. Yi in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 6 (June 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 6 (June 2007) . - pp 663 - 670 Titre : Pattern matching for heterogeneous geodata sources using attributed relational graph and probabilistic relaxation Type de document : Article/Communication Auteurs : S. Yi, Auteur ; B. Huang, Auteur ; C. Wang, Auteur Année de publication : 2007 Article en page(s) : pp 663 - 670 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] appariement de formes [Termes IGN] données hétérogènes [Termes IGN] données multisources [Termes IGN] graphe relationnel [Termes IGN] information sémantique [Termes IGN] modèle sémantique de données Résumé : (Auteur) Information retrieval and intelligent search among heterogeneous data sources still continue to be challenging tasks. In this study, an attributed relational graph was employed to model the semantic information of heterogeneous geodata sources. Based on the attributed relational graphs, probabilistic relaxation was employed for pattern matching between different data sources. The initial probability and compatibility coefficients were calculated based on the combined evidence from semi-structured geodata sources and the characteristics of discrete and categorical variables. Experiments on automatic pattern matching were carried out and the results demonstrated the effectiveness of the proposed approach in element mapping between heterogeneous data sources. Copyright ASPRS Numéro de notice : A2007-297 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.6.663 En ligne : http://dx.doi.org/10.14358/PERS.73.6.663 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28660 [article]