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ontologieSynonyme(s)Ontology ;ontologie spatiale Concept géographiqueVoir aussi |
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A structural-lexical measure of semantic similarity for geo-knowledge graphs / Andrea Ballatore in ISPRS International journal of geo-information, vol 4 n°2 (June 2015)
[article]
Titre : A structural-lexical measure of semantic similarity for geo-knowledge graphs Type de document : Article/Communication Auteurs : Andrea Ballatore, Auteur ; Michela Bertolotto, Auteur ; David C. Wilson, Auteur Année de publication : 2015 Article en page(s) : pp 471 - 492 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] graphe
[Termes IGN] noeud
[Termes IGN] ontologie
[Termes IGN] OpenStreetMap
[Termes IGN] réseau sémantique
[Termes IGN] similitude sémantique
[Termes IGN] web sémantiqueRésumé : (auteur) Graphs have become ubiquitous structures to encode geographic knowledge online. The Semantic Web’s linked open data, folksonomies, wiki websites and open gazetteers can be seen as geo-knowledge graphs, that is labeled graphs whose vertices represent geographic concepts and whose edges encode the relations between concepts. To compute the semantic similarity of concepts in such structures, this article defines the network-lexical similarity measure (NLS). This measure estimates similarity by combining two complementary sources of information: the network similarity of vertices and the semantic similarity of the lexical definitions. NLS is evaluated on the OpenStreetMap Semantic Network, a crowdsourced geo-knowledge graph that describes geographic concepts. The hybrid approach outperforms both network and lexical measures, obtaining very strong correlation with the similarity judgments of human subjects. Numéro de notice : A2015-707 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi4020471 En ligne : https://doi.org/10.3390/ijgi4020471 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78344
in ISPRS International journal of geo-information > vol 4 n°2 (June 2015) . - pp 471 - 492[article]Construction d’une ontologie par transformation de systèmes d’organisation des connaissances et évaluation de la confiance / Fabien Amarger in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 20 n° 3 (mai - juin 2015)
[article]
Titre : Construction d’une ontologie par transformation de systèmes d’organisation des connaissances et évaluation de la confiance Type de document : Article/Communication Auteurs : Fabien Amarger, Auteur ; Jean-Pierre Chanet, Auteur ; Ollivier Haemmerlé, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 37 - 61 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Systèmes d'information
[Termes IGN] aide à la conception informatique
[Termes IGN] base de connaissances
[Termes IGN] ontologie
[Termes IGN] système à base de connaissancesRésumé : (Auteur) Cet article présente une méthode originale de création d’une base de connaissances (ontologie) à partir de transformations de plusieurs sources de connaissances. Ces sources sont issues des systèmes d’organisation des connaissances (thésaurus, taxonomies, etc.). Les sources sont pondérées par un score de confiance. La méthode s’appuie sur un module défini à l’aide de patrons de conception ontologiques. Nous avons mis en œuvre cette méthode dans un contexte agronomique. Nous proposons dans cet article plusieurs fonctions de pondération que nous avons évaluées à partir de trois sources : Agrovoc, TaxRef et NCBI. Numéro de notice : A2015-322 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.3166/isi.20.3.37-61 En ligne : https://doi.org/10.3166/isi.20.3.37-61 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76608
in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI > vol 20 n° 3 (mai - juin 2015) . - pp 37 - 61[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 093-2015031 SL Revue Centre de documentation Revues en salle Disponible Automatic selection of landmarks for navigation guidance / Rui Zhu in Transactions in GIS, vol 19 n° 2 (April 2015)
[article]
Titre : Automatic selection of landmarks for navigation guidance Type de document : Article/Communication Auteurs : Rui Zhu, Auteur ; Hassan A. Karimi, Auteur Année de publication : 2015 Article en page(s) : pp 247 – 261 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] calcul d'itinéraire
[Termes IGN] classification par réseau neuronal
[Termes IGN] entité géographique
[Termes IGN] guidage de véhicules
[Termes IGN] point de repèreRésumé : (auteur) Although current navigation services provide significant benefits to people's mobility, the turn-by-turn instructions they provide are sometimes ineffective. These instructions require people to maintain a high level of attention and cognitive workload while performing distance or angle measurements on their own mental map. To overcome this problem, landmarks have been identified as playing a major role in turn-by-turn instructions. This requires the availability of landmarks in navigation databases. Landmarks are commonly selected manually, which involves time-consuming and tedious tasks. Automatic selection of landmarks has recently gained the attention of researchers but currently there are only a few techniques that can select appropriate landmarks. In this article, we present a technique based on a neural network model, where both static and dynamic features are used for selecting landmarks automatically. To train and test this model, two labeling approaches, manual labeling and rule-based labeling, are also discussed. Experiments on the developed technique were conducted and the results show that rule-based labeling has a precision of approximately 90%, which makes the technique suitable and reliable for automatic selection of landmarks. Numéro de notice : A2015-676 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12095 En ligne : http://dx.doi.org/10.1111/tgis.12095 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78302
in Transactions in GIS > vol 19 n° 2 (April 2015) . - pp 247 – 261[article]Thematic signatures for cleansing and enriching place-related linked data / Benjamin Adams in International journal of geographical information science IJGIS, vol 29 n° 4 (April 2015)
[article]
Titre : Thematic signatures for cleansing and enriching place-related linked data Type de document : Article/Communication Auteurs : Benjamin Adams, Auteur ; Krzysztof Janowicz, Auteur Année de publication : 2015 Article en page(s) : pp 556 - 579 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] base de connaissances
[Termes IGN] données massives
[Termes IGN] graphe
[Termes IGN] ontologie
[Termes IGN] répertoire toponymique
[Termes IGN] réseau sémantique
[Termes IGN] web des données
[Termes IGN] web sémantiqueRésumé : (Auteur) There has been significant progress transforming semi-structured data about places into knowledge graphs that can be used in a wide variety of geographic information systems such as digital gazetteers or geographic information retrieval systems. For instance, in addition to information about events, actors, and objects, DBpedia contains data about hundreds of thousands of places from Wikipedia and publishes it as Linked Data. Repositories that store data about places are among the most interlinked hubs on the Linked Data cloud. However, most content about places resides in unstructured natural language text, and therefore it is not captured in these knowledge graphs. Instead, place representations are limited to facts such as their population counts, geographic locations, and relations to other entities, for example, headquarters of companies or historical figures. In this paper, we present a novel method to enrich the information stored about places in knowledge graphs using thematic signatures that are derived from unstructured text through the process of topic modeling. As proof of concept, we demonstrate that this enables the automatic categorization of articles into place types defined in the DBpedia ontology (e.g., mountain) and also provides a mechanism to infer relationships between place types that are not captured in existing ontologies. This method can also be used to uncover miscategorized places, which is a common problem arising from the automatic lifting of unstructured and semi-structured data. Numéro de notice : A2015-588 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.989855 En ligne : http://www.tandfonline.com/doi/full/10.1080/13658816.2014.989855 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77873
in International journal of geographical information science IJGIS > vol 29 n° 4 (April 2015) . - pp 556 - 579[article]Geographic ontologies, gazetteers and multilingualism / Robert Laurini in Future internet, vol 7 n° 1 (March 2015)
[article]
Titre : Geographic ontologies, gazetteers and multilingualism Type de document : Article/Communication Auteurs : Robert Laurini, Auteur Année de publication : 2015 Article en page(s) : pp 1 - 23 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] langue
[Termes IGN] objet géographique
[Termes IGN] ontologie
[Termes IGN] raisonnement spatial
[Termes IGN] recherche d'information géographique
[Termes IGN] règle d'association
[Termes IGN] répertoire toponymiqueMots-clés libres : geographic information science geographic knowledge geographic ontologies typonyms gazetteers multilingualism geographic ontology matching geographic reasoning Résumé : (auteur) Different languages imply different visions of space, so that terminologies are different in geographic ontologies. In addition to their geometric shapes, geographic features have names, sometimes different in diverse languages. In addition, the role of gazetteers, as dictionaries of place names (toponyms), is to maintain relations between place names and location. The scope of geographic information retrieval is to search for geographic information not against a database, but against the whole Internet: but the Internet stores information in different languages, and it is of paramount importance not to remain stuck to a unique language. In this paper, our first step is to clarify the links between geographic objects as computer representations of geographic features, ontologies and gazetteers designed in various languages. Then, we propose some inference rules for matching not only types, but also relations in geographic ontologies with the assistance of gazetteers. Numéro de notice : A2015-191 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.3390/fi7010001 En ligne : https://doi.org/10.3390/fi7010001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75970
in Future internet > vol 7 n° 1 (March 2015) . - pp 1 - 23[article]Visual overlay on OpenStreetMap data to support spatial exploration of urban environments / Chandan Kumar in ISPRS International journal of geo-information, vol 4 n°1 (March 2015)PermalinkMatching disparate geospatial datasets and validating matches using spatial logic / Heshan Du (2015)PermalinkThematic workshop on building an ontology of generalisation for on-demand mapping / William A Mackaness (2015)PermalinkCollaborative ontology development for the geosciences / Reza Kalbasi in Transactions in GIS, vol 18 n° 6 (December 2014)PermalinkAn evaluative baseline for geo-semantic relatedness and similarity / Andrea Ballatore in Geoinformatica, vol 18 n° 4 (October 2014)PermalinkImproving geographic information retrieval in spatial data infrastructures / Fabio Gomes,de Andrade in Geoinformatica, vol 18 n° 4 (October 2014)PermalinkActive learning of user’s preferences estimation towards a personalized 3D navigation of geo-referenced scenes / Christos Yiakoumettis in Geoinformatica, vol 18 n° 1 (January 2014)PermalinkPermalinkPermalinkGeographic Object-Based Image Analysis: Towards a new paradigm / Thomas Blaschke in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)PermalinkThinking about space-time connections : spatiotemporal scheduling of individual activities / Kathleen Stewart in Transactions in GIS, vol 17 n° 6 (December 2013)PermalinkMethodological proposals to handle imperfect spatial and temporal information in the context of natural hazard studies / Mouna Snoussi in Revue internationale de géomatique, vol 23 n° 3 - 4 (septembre 2013 - février 2014)PermalinkMapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing): a case study in 2012 US Presidential Election / Ming-Hsiang Tsou in Cartography and Geographic Information Science, vol 40 n° 4 (September 2013)PermalinkSemantic orchestration of image processing services for environmental analysis / élisabeth Ranisavljevic' in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)PermalinkAdvances in Geographic Object-Based Image Analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective / Damien Arvor in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)PermalinkFinding science with science: Evaluating a domain and scientific ontology user interface for the discovery of scientific resources / Kristin Stock in Transactions in GIS, vol 17 n° 4 (August 2013)PermalinkGeo-social model: A conceptual framework for real-time geocollaboration / Zheng Chang in Transactions in GIS, vol 17 n° 2 (April 2013)PermalinkThe basic formal ontology as a reference framework for modeling the evolution of administrative units / Felix Gantner in Transactions in GIS, vol 17 n° 2 (April 2013)PermalinkAdvances In Knowledge Discovery and Management, ch. 8. Ontology-based formal specifications for user-friendly geospatial data discovery / Ammar Mechouche (2013)PermalinkGénérer une emprise de carte à partir des toponymes d’un texte / Geoffrey Brun (2013)Permalink