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Combining ontologies to automatically generate temporal perspectives of geospatial domains / Kathleen Stewart Hornsby in Geoinformatica, vol 14 n° 4 (October 2010)  

Public [article]  inGeoinformatica > vol 14 n° 4 (October 2010) . - pp 481 - 505 Titre : Combining ontologies to automatically generate temporal perspectives of geospatial domains Type de document : Article/Communication Auteurs : Kathleen Stewart Hornsby, Auteur ; K. Joshi, Auteur Année de publication : 2010 Article en page(s) : pp 481 - 505 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse combinatoire (maths) [Termes IGN] données spatiotemporelles [Termes IGN] granularité (informatique) [Termes IGN] modélisation [Termes IGN] ontologie Résumé : (Auteur) This paper describes an approach for automatically combining geospatial and temporal ontologies such that a geospatial domain can be analyzed over multiple temporal granularities. Terms from a geospatial ontology are combined with terms from a temporal ontology to form cross products that provide an integrated spatiotemporal framework. This framework is multi-granular, highlighting elements from the geospatial ontology at different domain times. We show how pairs of ontologies represented in Protégé can be used as the input for deriving cross products and how the results of this technique can be used as a basis for querying and retrieving new perspectives on geospatial domains. Visualizations of cross product spaces highlight the geospatial–temporal combinations of terms as well as the different relations that link these terms and improve the understanding of the structure of the spatiotemporal framework. Methods for filtering terms from the cross products are also investigated in order to prune the resulting frameworks and remove irrelevant or unnecessary terms. Numéro de notice : A2010-305 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-009-0088-1 Date de publication en ligne : 05/08/2009 En ligne : https://doi.org/10.1007/s10707-009-0088-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30499 [article]

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Spatial Information Theory, COSIT 2009, 9th International Conference, Aber Wrac'h, France, September 2009 / Kathleen Stewart Hornsby (2009)  

Public Titre : Spatial Information Theory, COSIT 2009, 9th International Conference, Aber Wrac'h, France, September 2009 : Proceedings Type de document : Actes de congrès Auteurs : Kathleen Stewart Hornsby, Éditeur scientifique ; Christophe Claramunt, Éditeur scientifique ; Michel Denis, Éditeur scientifique ; Gérard Ligozat, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2009 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 5756 Conférence : COSIT 2009, 9th international conference on spatial information theory 21/09/2009 25/09/2009 Aber Wrac'h France Proceedings Springer Importance : 504 p. Format : 15 x 23 cm ISBN/ISSN/EAN : 978-3-642-03831-0 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] calcul d'itinéraire [Termes IGN] cognition [Termes IGN] découverte de connaissances [Termes IGN] modèle sémantique de données [Termes IGN] modélisation spatiale [Termes IGN] raisonnement spatial [Termes IGN] visibilité Résumé : (éditeur) This book constitutes the refereed proceedings of the 9th International Conference on Spatial Information Theory, COSIT 2009 held in Aber Wrac'h, France in September 2009. The 30 revised full papers were carefully reviewed from 70 submissions. They are organized in topical sections on cognitive processing and models for spatial cognition, semantic modeling, spatial reasoning, spatial cognition, spatial knowledge, scene and visibility modeling, spatial modeling, events and processes, and route planning. Numéro de notice : 17078 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes DOI : 10.1007/978-3-642-03832-7 En ligne : https://doi.org/10.1007/978-3-642-03832-7 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79403

Voir aussi

• COSIT 2009, Doctoral Colloquium, 25 septembre 2009, Port de l'Aber Wrac'h, France / Clare Davies (2009)

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Modeling motion relations for moving objects on road networks / Kathleen Stewart Hornsby in Geoinformatica, vol 12 n° 4 (December 2008)  

Public [article]  inGeoinformatica > vol 12 n° 4 (December 2008) . - pp 477 - 495 Titre : Modeling motion relations for moving objects on road networks Type de document : Article/Communication Auteurs : Kathleen Stewart Hornsby, Auteur ; K. King, Auteur Année de publication : 2008 Article en page(s) : pp 477 - 495 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] modèle conceptuel de données localisées [Termes IGN] modèle relationnel [Termes IGN] objet mobile [Termes IGN] ontologie [Termes IGN] réseau routier Résumé : (Auteur) In this paper, a basic set of motion relations capturing specific prototypical movements of vehicles on US road networks are introduced. Vehicle positional data collected from a geosensor network and stored in a spatio-temporal database serve as the basis for computing the relations that include isBehind, inFrontOf, driveBeside, and passBy. Relational SQL queries are used to derive the relations, returning information about pairs of moving objects and their relative positions. This information provides additional user contexts for binary vehicle patterns relative to a reference object. A framework for the kinds of moving objects that participate in these relations is supplied through an associated TransportationDevice ontology. Depending on the class of moving object, a relation such as isBehind captures scenarios that are facilitating or inhibiting with respect to the movement of traffic. For example, if a police car is known to be behind an automobile, the automobile typically slows to correspond with the legal speed limit. In this work, we show how linking the spatio-temporal database to an ontology can augment and extend the motion relation information, providing multi-granular perspectives of moving vehicles. Copyright Springer Numéro de notice : A2008-380 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-007-0039-7 En ligne : https://doi.org/10.1007/s10707-007-0039-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29373 [article]

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Temporal, spatial, and spatio-temporal data mining / J.F. Roddick (2001)

Public Titre : Temporal, spatial, and spatio-temporal data mining : revised papers, First international workshop, TSDM 2000, Lyon, France, September 12, 2000 Type de document : Actes de congrès Auteurs : J.F. Roddick, Éditeur scientifique ; Kathleen Stewart Hornsby, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2001 Collection : Lecture notes in Computer Science Sous-collection : Lecture Notes in Artificial Intelligence Conférence : TSDM 2000, First international workshop Temporal, spatial, and spatio-temporal data mining 12/09/2000 12/09/2000 Lyon France Proceedings Springer Importance : 163 p. Format : 15 x 24 cm ISBN/ISSN/EAN : 978-3-540-41773-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] exploration de données [Termes IGN] exploration de données géographiques [Termes IGN] jointure spatiale Résumé : (Auteur) This volume contains updated versions of the ten papers presented at the First International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining (TSDM 2000) held in conjunction with the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2000) in Lyons, France in September, 2000. The aim of the workshop was to bring together experts in the analysis of temporal and spatial data mining and knowledge discovery in temporal, spatial or spatio-temporal database systems as well as knowledge engineers and domain experts from allied disciplines. The workshop focused on research and practice of knowledge discovery from datasets containing explicit or implicit temporal, spatial or spatio-temporal information. The ten original papers in this volume represent those accepted by peer review following an international call for papers. All papers submitted were refereed by an international team of data mining researchers listed below. We would like to thank the team for their expert and useful help with this process. Following the workshop, authors were invited to amend their papers to enable the feedback received from the conference to be included in the final papers appearing in this volume. A workshop report was compiled by Kathleen Hornsby which also discusses the panel session that was held. In late 1998, a bibliography of temporal, spatial and spatio-temporal data mining research papers was compiled by John Roddick and Myra Spiliopoulou and published in SigKDD Explorations. Following the dramatic increase in interest in this area over the past few years, it was decided that an update to this bibliography was warranted and should be included in this volume. It is our contention that temporal, spatial and spatio-temporal data mining holds many promises. We hope this volume, as well as the TSDM Workshop series, is useful in adding to the body of knowledge in this area. Note de contenu : - Workshop Report International Workshop on Temporal, Spatial, and Spatiotemporal Data Mining TSDM 2000 / Kathleen Homsby - Discovering Temporal Patterns in Multiple Granularities / Yingjiu Li, X. Sean Wang, and Sushil Jajodia - Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules / Ray J. Hickey and Michaela M. Black - KHarmonic Means A Spatial Clustering Algorithm with Boosting / Bin Zhang, Meichun Hsu, and Umesh Dayal - Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events / Richard J. Povinelli - Value Range Queries on Earth Science Data via Histogram Clustering / Ruixin Yang, KwangSu Yang, Menas Kafatos, and X. Sean Wang - Fast Randomized Algorithms for Robust Estimation of Location / V1adimir EstivillCastro and Michael E. Houle - Rough Sets in Spatiotemporal Data Mining / Thomas Bittner - Join Indices as a Tool for Spatial Data Mining - Kadne Zeitouni, Laurent Yeh, and MadeAude Aufaure - Data Mining with Calendar Attributes - Howard J. Hamilton and Dee Jay Randall - AUTOCLUST+: Automatic Clustering of PointData Sets in the Presence of Obstacles - Vladimir EstivillCastro and Ickjai Lee - An Updated Bibliography of Temporal, Spatial, and Spatiotemporal Data Mining Research - John F. Roddick, Kathleen Hornsby, and Myra Spiliopoulou Numéro de notice : 13158 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34617

Contient

• Join indices as a tool for spatial data mining / Karine Zeitouni (12/09/2000)

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Identity-based change: a foundation for spatio-temporal knowledge representation / Kathleen Stewart Hornsby in International journal of geographical information science IJGIS, vol 14 n° 3 (april 2000)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 14 n° 3 (april 2000) . - pp 207 - 224 Titre : Identity-based change: a foundation for spatio-temporal knowledge representation Type de document : Article/Communication Auteurs : Kathleen Stewart Hornsby, Auteur ; Max J. Egenhofer, Auteur Année de publication : 2000 Article en page(s) : pp 207 - 224 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] détection de changement [Termes IGN] dimension temporelle [Termes IGN] données multitemporelles [Termes IGN] données spatiotemporelles [Termes IGN] mise à jour [Termes IGN] modélisation [Termes IGN] représentation cognitive [Termes IGN] représentation des connaissances [Termes IGN] temps Numéro de notice : A2000-016 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/136588100240813 En ligne : https://doi.org/10.1080/136588100240813 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21440 [article]

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