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Matching authority and VGI road networks using an extended node-based matching algorithm / Ehsan Abdolmajidi in Geo-spatial Information Science, vol 18 n° 2 (August 2015)  

Public [article]  inGeo-spatial Information Science > vol 18 n° 2 (August 2015) . - pp 65 - 80 Titre : Matching authority and VGI road networks using an extended node-based matching algorithm Type de document : Article/Communication Auteurs : Ehsan Abdolmajidi, Auteur ; Ali Mansourian, Auteur ; Julian Will, Auteur ; Lars Harrie, Auteur Année de publication : 2015 Article en page(s) : pp 65 - 80 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] appariement topologique [Termes IGN] base de données routières [Termes IGN] données localisées de référence [Termes IGN] données localisées des bénévoles [Termes IGN] OpenStreetMap [Termes IGN] qualité des données [Termes IGN] relation topologique [Termes IGN] réseau routier [Termes IGN] Suède Résumé : (auteur) The amount of volunteered geographic information (VGI) has increased over the past decade, and several studies have been conducted to evaluate the quality of VGI data. In this study, we evaluate the completeness of the road network in the VGI data set OpenStreetMap (OSM). The evaluation is based on an accurate and efficient network-matching algorithm. The study begins with a comparison of the two main strategies for network matching: segment-based and node-based matching. The comparison shows that the result quality is comparable for the two strategies, but the node-based result is considerably more computationally efficient. Therefore, we improve the accuracy of node-based algorithm by handling topological relationships and detecting patterns of complicated network components. Finally, we conduct a case study on the extended node-based algorithm in which we match OSM to the Swedish National Road Database (NVDB) in Scania, Sweden. The case study reveals that OSM has a completeness of 87% in the urban areas and 69% in the rural areas of Scania. The accuracy of the matching process is approximately 95%. The conclusion is that the extended node-based algorithm is sufficiently accurate and efficient for conducting surveys of the quality of OSM and other VGI road data sets in large geographic regions. Numéro de notice : A2015-760 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/10095020.2015.1071065 En ligne : http://dx.doi.org/10.1080/10095020.2015.1071065 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78796 [article]

An integrated heterogeneous web service retrieval via combination of instance- and metadata-based schema matching method / Jie He in Geo-spatial Information Science, vol 18 n° 2 (August 2015)  

Public [article]  inGeo-spatial Information Science > vol 18 n° 2 (August 2015) . - pp 111 - 123 Titre : An integrated heterogeneous web service retrieval via combination of instance- and metadata-based schema matching method Type de document : Article/Communication Auteurs : Jie He, Auteur ; Wei Wang, Auteur Année de publication : 2015 Article en page(s) : pp 111 - 123 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] appariement de données localisées [Termes IGN] GeoServer [Termes IGN] instance [Termes IGN] métadonnées [Termes IGN] métadonnées géographiques [Termes IGN] Web Coverage Service [Termes IGN] Web Feature Service Résumé : (auteur) Schema matching is a critical step in the integration of heterogeneous web service, which contains various types of web services and multi-version services of the same type. Mapping loss or mismatch usually occurs due to schema differences in structure and content and the variety in concept definition and organization. Current instance schema matching methods are not mature enough for heterogeneous web service because they cannot deal with the instance data in web service domain and capture all the semantics, especially metadata semantics. The metadata-based and the instance-based matching methods, in the case of being employed individually, are not efficient to determine the concept relationships, which are crucial for finding high-quality matches between schema attributes. In this paper, we propose an improved schema matching method, based on the combination of instance and metadata (CIM) matcher. The main method of our approach is to utilize schema structure, element labels, and the corresponding instance data information. The matching process is divided into two phases. In the first phase, the metadata-based matchers are used to compute the element label similarity of multi-version open geospatial consortium web service schema, and the generated matching results are raw mappings, which will be reused in the next instance matching phase. In the second phase, the designed instance matching algorithms are employed to the instance data of the raw mappings and fine mappings are generated. Finally, the raw mappings and the fine mappings are combined, and the final mappings are obtained. Our experiments are executed on different versions of web coverage service and web feature service instance data deployed in Geoserver. The results indicate that, the CIM method can obtain more accurate matching results and is flexible enough to handle the web service instance data. Numéro de notice : A2015-761 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/10095020.2015.1065075 En ligne : http://dx.doi.org/10.1080/10095020.2015.1065075 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78797 [article]