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Context-aware automated interpretation of elaborate natural language descriptions of location through learning from empirical data / Kristin Stock in International journal of geographical information science IJGIS, vol 32 n° 5-6 (May - June 2018)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 32 n° 5-6 (May - June 2018) . - pp 1087 - 1116 Titre : Context-aware automated interpretation of elaborate natural language descriptions of location through learning from empirical data Type de document : Article/Communication Auteurs : Kristin Stock, Auteur ; Javid Yousaf, Auteur Année de publication : 2018 Article en page(s) : pp 1087 - 1116 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Toponymie [Termes IGN] mesure de similitude [Termes IGN] ontologie [Termes IGN] prise en compte du contexte [Termes IGN] raisonnement spatial [Termes IGN] toponyme [Termes IGN] traitement du langage naturel Résumé : (Auteur) Natural language descriptions of location can be complex, involving many different elements and often describing location by reference to other objects. Descriptions may be vague, and their meaning often depends upon the context within which the description has been expressed. Many previous approaches use mathematical models, focus on prepositions, and have had limited success and application. We present an approach to the interpretation of geospatial natural language expressions that uses a knowledge base of expressions for which human interpretations (in the form of degree of match to one of 50 geometric configurations) are known. Our approach interprets new expressions by finding the most similar knowledge base expression and adopting its meaning. We determine expression similarity using four different methods: element match; linguistic collocation approaches (Cosine); wordnet semantic network distance and a new approach that incorporates the contextual aspects of the expression including scale, geometry type, axial structure, image-schema and liquid/solid. As well as preposition, relatum and locatum, we consider spatial adjectives, adverbs, verb and sub-parts of the relatum and locatum. The method that incorporates context was the most successful of the four tested, selecting the same geometric configuration as human respondents in 69% of cases. Numéro de notice : A2018-200 Affiliation des auteurs : non IGN Thématique : TOPONYMIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1432861 Date de publication en ligne : 07/02/2018 En ligne : https://doi.org/10.1080/13658816.2018.1432861 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89869 [article]

Exemplaires(1)

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079-2018031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Augmented reality and maps : new possibilities for engaging with geographic data / Gabriel Henrique de Almeida Pereira in Cartographic journal (the), Vol 54 n° 4 (November 2017)  

Public [article]  inCartographic journal (the) > Vol 54 n° 4 (November 2017) . - pp 313 - 321 Titre : Augmented reality and maps : new possibilities for engaging with geographic data Type de document : Article/Communication Auteurs : Gabriel Henrique de Almeida Pereira, Auteur ; Kristin Stock, Auteur ; Lucienne Stamato Delazari, Auteur ; Jorge Antonio Silva Centeno, Auteur Année de publication : 2017 Article en page(s) : pp 313 - 321 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données localisées [Termes IGN] lecture de carte [Termes IGN] Nouvelle-Zélande [Termes IGN] programme interactif [Termes IGN] réalité augmentée [Termes IGN] utilisateur civil [Vedettes matières IGN] Cartologie Résumé : (Auteur) Among the systems that aim to help users to perform map reading tasks, augmented reality (AR) is one of the most promising. However, the impact of this new technology in terms of acceptance, motivation and improvement of the learning process has still not been sufficiently explored. This study aims to assess the contribution of an AR system for map reading and for improving users’ understanding of geographic data. Landscape and census data from New Zealand were used to evaluate the performance of an AR system in an experiment involving 60 participants. Differences in the participants’ backgrounds were reflected in the way they completed the task for both printed maps and the AR system and 90% of the participants preferred to work with the AR system rather than with traditional printed maps. Users that had previous experience of the geographical dataset provided performed the task better using only the printed maps, while those without that experience performed better with the AR system. Numéro de notice : A2017-826 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2017.1411417 En ligne : https://doi.org/10.1080/00087041.2017.1411417 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89358 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
030-2017041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Finding 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)  

Public [article]  inTransactions in GIS > vol 17 n° 4 (August 2013) . - pp 612 - 639 Titre : Finding science with science: Evaluating a domain and scientific ontology user interface for the discovery of scientific resources Type de document : Article/Communication Auteurs : Kristin Stock, Auteur ; Vera Karasova, Auteur ; Anne Robertson, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 612 - 639 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique [Termes IGN] étiquette [Termes IGN] exploration de données [Termes IGN] interface utilisateur [Termes IGN] ontologie Résumé : (Auteur) Current approaches to the discovery of scientific resources (publications, data sets and web services) are dominated by keyword search. These approaches do not allow scientists to search on the deeper semantics of scientific resources, or to discover resources on the basis of the scientific approaches taken. This article evaluates a user interface that allows users to discover scientific resources through structured knowledge in the form of ontologies describing the domain and the scientific knowledge inherent within the scientific resource, and also through informal user tags. These combined capabilities provide scientists with new and powerful options for resource discovery. A qualitative user evaluation explored how scientists felt about the approach for resource discovery in the context of their scientific work. The study showed that marine scientists were enthusiastic about the capabilities of such an approach and appreciated the ability to browse the visual structure of the knowledge and query on scientific method but, overall, preferred the use of tags over ontologies. The exploratory nature of the user study was used to identify future directions for such improvements. Numéro de notice : A2013-474 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01370.x Date de publication en ligne : 26/12/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01370.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32612 [article]