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Computing and querying strict, approximate, and metrically refined topological relations in linked geographic data / Blake Regalia in Transactions in GIS, vol 23 n° 3 (June 2019)  

Public [article]  inTransactions in GIS > vol 23 n° 3 (June 2019) . - pp 601 - 619 Titre : Computing and querying strict, approximate, and metrically refined topological relations in linked geographic data Type de document : Article/Communication Auteurs : Blake Regalia, Auteur ; Krzysztof Janowicz, Auteur ; Grant McKenzie, Auteur Année de publication : 2019 Article en page(s) : pp 601 - 619 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] DBpedia [Termes IGN] données localisées [Termes IGN] entité géographique [Termes IGN] graphe [Termes IGN] relation topologique [Termes IGN] requête spatiale [Termes IGN] réseau sémantique [Termes IGN] web des données Résumé : (Auteur) Geographic entities and the information associated with them play a major role in Web‐scale knowledge graphs such as Linked Data. Interestingly, almost all major datasets represent places and even entire regions as point coordinates. There are two key reasons for this. First, complex geometries are difficult to store and query using the current Linked Data technology stack to a degree where many queries take minutes to return or will simply time out. Second, the absence of complex geometries confirms a common suspicion among GIScientists, namely that for many everyday queries place‐based relational knowledge is more relevant than raw geometries alone. To give an illustrative example, the statement that the White House is in Washington, DC is more important for gaining an understating of the city than the exact geometries of both entities. This does not imply that complex geometries are unimportant but that (topological) relations should also be extracted from them. As Egenhofer and Mark (1995b) put it in their landmark paper on naive geography, topology matters, metric refines. In this work we demonstrate how to compute and utilize strict, approximate, and metrically refined topological relations between several geographic feature types in DBpedia and compare our results to approaches that compute result sets for topological queries on the fly. Numéro de notice : A2019-256 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12548 Date de publication en ligne : 26/06/2019 En ligne : https://doi.org/10.1111/tgis.12548 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93014 [article]

Assessing the positional planimetric accuracy of DBpedia georeferenced resources / Abdelfettah Feliachi (2017)  

Public Titre : Assessing the positional planimetric accuracy of DBpedia georeferenced resources Type de document : Article/Communication Auteurs : Abdelfettah Feliachi , Auteur ; Nathalie Abadie , Auteur ; Fayçal Hamdi , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2017 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 10651 Projets : 1-Pas de projet / Conférence : QMMQ 2017, 4th Workshop on Quality of Models and Models of Quality 06/11/2017 09/11/2017 Valence Espagne , ER 2017, Workshops AHA, MoBiD, MREBA, OntoCom, and QMMQ 06/11/2017 09/11/2017 Valence Espagne Proceedings Springer Importance : pp 227 - 237 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] base de connaissances [Termes IGN] DBpedia [Termes IGN] précision planimétrique [Termes IGN] qualité des données [Termes IGN] web des données [Termes IGN] web sémantique Résumé : (auteur) Assessing the quality of the main linked data sources on the Web like DBpedia or Yago is an important research topic. The existing approaches for quality assessment mostly focus on determining whether data sources are compliant with Web of data best practices or on their completeness, semantic accuracy, consistency, relevancy or trustworthiness. In this article, we aim at assessing the accuracy of a particular type of information often associated with Web of data resources: direct spatial references. We present the approaches currently used for assessing the planimetric accuracy of geographic databases. We explain why they cannot be directly applied to the resources of the Web of data. Eventually, we propose an approach for assessing the planimetric accuracy of DBpedia resources, adapted to the open nature of this knowledge base. Numéro de notice : C2017-025 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Autre URL associée : vers HAL Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-319-70625-2_21 Date de publication en ligne : 10/11/2017 En ligne : https://doi.org/10.1007/978-3-319-70625-2_21 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89287