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Auteur Yandong Wang |
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A hybrid classification matching method for geospatial services / Yandong Wang in Transactions in GIS, vol 16 n° 6 (December 2012)
[article]
Titre : A hybrid classification matching method for geospatial services Type de document : Article/Communication Auteurs : Yandong Wang, Auteur ; Hao Li, Auteur ; An Luo, Auteur Année de publication : 2012 Article en page(s) : pp 781 - 805 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] classification hybride
[Termes IGN] service web géographique
[Termes IGN] système d'information géographique
[Termes IGN] taxinomieRésumé : (Auteur) With the development of the Internet and GIS, large volumes of spatial data and powerful computing resources are increasingly published in the form of Web services. Given the variety and number of geospatial services advertised online, finding appropriate geospatial services has become a tremendous challenge for potential users. Geospatial service classification provides a basis for developing matching criteria to improve the efficiency of service discovery. At present, most classification-based matching methods require users to provide classification descriptions using a specified taxonomy. These requirements seriously limit the application of classification-based matching. To solve these kinds of problems, this article presents a hybrid geospatial service classification-matching method. Based on the differences in classification descriptions, three strategies are proposed: (1) the existing classification matching method is used for requests with classifications described using homogeneous taxonomies; (2) a formal-concept-analysis-based service classification matching method is proposed for service requests with classifications described using heterogeneous taxonomies; and (3) an interface-similarity-based service classification decision method is proposed for requests without classification descriptions. The feasibility of the hybrid geospatial service classification matching method is verified by two sets of experiments. The results reveal that this method can effectively broaden the application of classification-based matching in geospatial service discovery. Numéro de notice : A2012-616 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01348.x En ligne : https://doi.org/10.1111/j.1467-9671.2012.01348.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32062
in Transactions in GIS > vol 16 n° 6 (December 2012) . - pp 781 - 805[article]