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An evaluative baseline for geo-semantic relatedness and similarity / Andrea Ballatore in Geoinformatica, vol 18 n° 4 (October 2014)
[article]
Titre : An evaluative baseline for geo-semantic relatedness and similarity Type de document : Article/Communication Auteurs : Andrea Ballatore, Auteur ; Michela Bertolotto, Auteur ; D. Wilson, Auteur Année de publication : 2014 Article en page(s) : pp 747-767 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] intégration de données
[Termes IGN] relation sémantique
[Termes IGN] requête (informatique)
[Termes IGN] système d'information géographiqueRésumé : (Auteur) In geographic information science and semantics, the computation of semantic similarity is widely recognised as key to supporting a vast number of tasks in information integration and retrieval. By contrast, the role of geo-semantic relatedness has been largely ignored. In natural language processing, semantic relatedness is often confused with the more specific semantic similarity. In this article, we discuss a notion of geo-semantic relatedness based on Lehrer’s semantic fields, and we compare it with geo-semantic similarity. We then describe and validate the Geo Relatedness and Similarity Dataset (GeReSiD), a new open dataset designed to evaluate computational measures of geo-semantic relatedness and similarity. This dataset is larger than existing datasets of this kind, and includes 97 geographic terms combined into 50 term pairs rated by 203 human subjects. GeReSiD is available online and can be used as an evaluation baseline to determine empirically to what degree a given computational model approximates geo-semantic relatedness and similarity. Numéro de notice : A2014-461 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0197-8 Date de publication en ligne : 31/01/2014 En ligne : https://doi.org/10.1007/s10707-013-0197-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74033
in Geoinformatica > vol 18 n° 4 (October 2014) . - pp 747-767[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2014041 RAB Revue Centre de documentation En réserve L003 Disponible Improving geographic information retrieval in spatial data infrastructures / Fabio Gomes,de Andrade in Geoinformatica, vol 18 n° 4 (October 2014)
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Titre : Improving geographic information retrieval in spatial data infrastructures Type de document : Article/Communication Auteurs : Fabio Gomes,de Andrade, Auteur ; Cláudio, de Souza Baptista, Auteur ; Clodoveu Augusto Davis Jr, Auteur Année de publication : 2014 Article en page(s) : pp 793-818 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] accès aux données localisées
[Termes IGN] infrastructure européenne de données localisées
[Termes IGN] interopérabilité sémantique
[Termes IGN] ontologie
[Termes IGN] requête spatialeRésumé : (Auteur) In recent years, spatial data infrastructures (SDIs) have gained great popularity as a solution to facilitate interoperable access to geospatial data offered by different agencies. In order to enhance the data retrieval process, current infrastructures usually offer a catalog service. Nevertheless, such catalog services still have important limitations that make it difficult for users to find the geospatial data that they are interested in. Some current catalog drawbacks include the use of a single record to describe all the feature types offered by a service, the lack of formal means to describe the semantics of the underlying data, and the lack of an effective ranking metric to organize the results retrieved from a query. Aiming to overcome these limitations, this article proposes SESDI (Semantically-Enabled Spatial Data Infrastructures), which is framework that reuses techniques of classic information retrieval to improve geographic data retrieval in a SDI. Moreover, the framework proposes several ranking metrics to solve spatial, semantic, temporal and multidimensional queries. Numéro de notice : A2014-463 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-014-0202-x Date de publication en ligne : 19/01/2014 En ligne : https://doi.org/10.1007/s10707-014-0202-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74035
in Geoinformatica > vol 18 n° 4 (October 2014) . - pp 793-818[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2014041 RAB Revue Centre de documentation En réserve L003 Disponible Semantic Web and service computation in GIScience applications: a perspective and prospective / X. Shi in Geocarto international, vol 29 n° 3 - 4 (June - July 2014)
[article]
Titre : Semantic Web and service computation in GIScience applications: a perspective and prospective Type de document : Article/Communication Auteurs : X. Shi, Auteur ; M.D. Nellis, Auteur Année de publication : 2014 Article en page(s) : pp. 400 - 417 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] service web
[Termes IGN] système d'information géographique
[Termes IGN] web sémantiqueRésumé : (Auteur)Semantic Web and Web services have been two prominent themes in the computer science and IT mainstream for more than a decade. While both of these themes have been evolving, some geographers and GIScientists have been trying to introduce and adopt such new technologies into GIScience research and development. This paper reviews the state-of-the-art and the main constraints of semantic Web and Web services technologies and their applications in GIScience. Unless some fundamental problems within both semantic Web and Web services can be resolved, such technologies will be difficult to match the needs in the GIScience community. Besides logics, more sciences and theories have to be introduced into this research front in order to break through the long-term bottleneck in semantic Web and service computation in general. Numéro de notice : A2014-341 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.776644 En ligne : https://doi.org/10.1080/10106049.2013.776644 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73709
in Geocarto international > vol 29 n° 3 - 4 (June - July 2014) . - pp. 400 - 417[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Active 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)
[article]
Titre : Active learning of user’s preferences estimation towards a personalized 3D navigation of geo-referenced scenes Type de document : Article/Communication Auteurs : Christos Yiakoumettis, Auteur ; Nikolaos Doulamis, Auteur ; Georgios Miaoulis, Auteur ; Djamchid Ghazanfarpour, Auteur Année de publication : 2014 Article en page(s) : pp 27 - 62 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] algorithme génétique
[Termes IGN] apprentissage dirigé
[Termes IGN] Athènes
[Termes IGN] exploration de données
[Termes IGN] itinéraire
[Termes IGN] métadonnées
[Termes IGN] navigation
[Termes IGN] ontologie
[Termes IGN] optimisation (mathématiques)
[Termes IGN] personnalisation
[Termes IGN] pondération
[Termes IGN] réalité virtuelle
[Termes IGN] système d'information géographique
[Termes IGN] utilisateurRésumé : (Auteur) The current technological evolutions enter 3D geo-informatics into their digital age, enabling new potential applications in the field of virtual tourism, pleasure, entertainment and cultural heritage. It is argued that 3D information provides the natural way of navigation. However, personalization is a key aspect in a navigation system, since a route that incorporates user preferences is ultimately more suitable than the route with the shortest distance or travel time. Usually, user’s preferences are expressed as a set of weights that regulate the degree of importance of the scene metadata on the route selection process. These weights, however, are defined by the users, setting the complexity to the user’s side, which makes personalization an arduous task. In this paper, we propose an alternative approach in which metadata weights are estimated implicitly and transparently to the users, transferring the complexity to the system side. This is achieved by introducing a relevance feedback on-line learning strategy which automatically adjusts metadata weights by exploiting information fed back to the system about the relevance of user’s preferences judgments given in a form of pair-wise comparisons. Practically implementing a relevance feedback algorithm presents the limitation that several pair-wise comparisons (samples) are required to converge to a set of reliable metadata weights. For this reason, we propose in this paper a weight rectification strategy that improves weight estimation by exploiting metadata interrelations defined through an ontology. In the sequel, a genetic optimization algorithm is incorporated to select the most user preferred routes based on a multi-criteria minimization approach. To increase the degree of personalization in 3D navigation, we have also introduced an efficient algorithm for estimating 3D trajectories around objects of interest by merging best selected 2D projected views that contain faces which are mostly preferred by the users. We have conducted simulations and comparisons with other approaches either in the field of on-line learning or route selection using objective metrics in terms of precision and recall values. The results indicate that our system yields on average a 13.76 % improvement of precision as regards the learning strategy and an improvement of 8.75 % regarding route selection. In addition, we conclude that the ontology driven weight rectification strategy can reduce the number of samples (pair-wise comparisons) required of 76 % to achieve the same precision. Qualitative comparisons have been also performed using a use case route scenario in the city of Athens. Numéro de notice : A2014-027 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1007/s10707-013-0176-0 Date de publication en ligne : 12/04/2013 En ligne : https://doi.org/10.1007/s10707-013-0176-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32932
in Geoinformatica > vol 18 n° 1 (January 2014) . - pp 27 - 62[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2014011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Collaboration on an ontology for generalisation Type de document : Article/Communication Auteurs : Nick Gould, Auteur ; William A Mackaness, Auteur ; Guillaume Touya , Auteur ; Glen Hart, Auteur Editeur : ICA Commission on Generalisation and Multiple Representation Année de publication : 2014 Conférence : ICA 2014, 17th workshop on Generalisation and Multiple Representation 22/09/2014 26/09/2014 Vienne Autriche Open access proceedings Importance : 9 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] algorithme de généralisation
[Termes IGN] base de connaissances
[Termes IGN] cartographie collaborative
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] ontologie
[Vedettes matières IGN] GénéralisationRésumé : (auteur) To move beyond the current plateau in automated cartography, we need greater sophistication in the process of selecting generalisation algorithms. This is particularly so in the context of machine comprehension. We also need to build on existing algorithm development instead of duplication. More broadly, we need to model the geographical context that drives the selection, sequencing and degree of application of generalisation algorithms. We argue that a collaborative effort is required to create and share an ontology for cartographic generalisation focused on supporting the algorithm selection process. The benefits of developing a collective ontology will be the increased sharing of algorithms and support for on-demand mapping and generalisation web services. Numéro de notice : C2014-011 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://generalisation.icaci.org/index.php/prevevents/11-previous-events-details/ [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78486 Documents numériques
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