0000000001005668

AUTHOR

Benjamin Harbelot

showing 10 related works from this author

LC3: un modèle spatial et sémantique pour découvrir la connaissance dans les jeux de données géospatiaux

2015

National audience; Il est nécessaire pour les gérants de territoires d’avoir un aperçu des connaissances actuelles et de l’évolution de certaines caractéristiques de la biosphère. Les outils de télédétection enregistrent une grande quantité d’informations liées à la couverture terrestre permettant l’étude de processus dynamiques. Toutefois, le volume des jeux de données nécessite de nouveaux outils pour identifier des motifs et extraire de la connaissance. Nous proposons un modèle capable de découvrir la connaissance sur des données parcellaires et permettant l’analyse des phénomènes dynamiques à l’aide de données temporelles, spatiales et thématiques. Le modèle est appelé Land Cover Change…

[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]
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LC3: A spatio-temporal and semantic model for knowledge discovery from geospatial datasets

2015

International audience; There is a need for decision-makers to be provided with both an overview of existing knowledge, and information which is as complete and up-to-date as possible on changes in certain features of the biosphere. Another objective is to bring together all the many attempts which have been made over the years at various levels (international, Community, national and regional) to obtain more information on the environment and the way it is changing. As a result, remote sensing tools monitor large amount of land cover informations enabling study of dynamic processes. However the size of the dataset require new tools to identify pattern and extract knowledge. We propose a mo…

Decision support systemGeographic information systemGeospatial analysisComputer Networks and CommunicationsComputer scienceProcess (engineering)0211 other engineering and technologies02 engineering and technologyOntology (information science)Semantic data modelcomputer.software_genreKnowledge extraction[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]020204 information systems0202 electrical engineering electronic engineering information engineering[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]Semantic Web021101 geological & geomatics engineeringbusiness.industry15. Life on landData scienceHuman-Computer Interaction[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]businesscomputerSoftware
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Reasoning with Vague Spatial Information from Upper Mesopotamia (2000BC)

2015

International audience; Concepts such as near, far, south of, etc., are by its own nature vague. However, they are quite common in human language. In the case of historical records, these concepts are often the only source of information regarding the position of ancient places whose exact location has been lost. In our research, we use digitized written records from Upper Mesopotamia (2000BC) from the HIGEOMES project. Our goal is to provide better understanding of the location of places, based on the analysis of spatial statements. In our approach, we analyse cardinal statements between places with known location. Using this information we construct a probabilistic function representing t…

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]media_common.quotation_subjectReasonning02 engineering and technology[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Description logic0202 electrical engineering electronic engineering information engineeringMesopotamia ;[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Function (engineering)Spatial analysisGeneral Environmental ScienceMathematicsmedia_commondescription logicsInformation retrievalPoint (typography)Ontologybusiness.industryProbabilistic logic[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]020207 software engineeringVaguenessspatial uncertainty[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Upper MesopotamiaOntologyGeneral Earth and Planetary Sciences[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]020201 artificial intelligence & image processingArtificial intelligencebusinessConstruct (philosophy)Procedia Environmental Sciences
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A Semantic Web Approach for Geodata Discovery

2013

International audience; Currently, vast amounts of geospatial information are o ffered through OGC's services. However this information has limited formal semantics. The most common method to search for a dataset consists in matching keywords to metadata elements. By adding semantics to available descriptions we could use modern inference and reasoning mechanisms currently available in the SemanticWeb. In this paper we present a novel architecture currently in development in which we use state of the art triplestores as the backend of a CSW service. In our approach, each metadata record is considered an instance of a given class in a domain ontology. Our architecture also adds a spatial dat…

Geospatial analysisComputer scienceFormal semantics (linguistics)SemanticWeb0211 other engineering and technologiesInference02 engineering and technologyOntology (information science)computer.software_genreWorld Wide Web[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]Minimum bounding box0202 electrical engineering electronic engineering information engineeringontologies[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]ArchitectureSemantic Webcatalogues021101 geological & geomatics engineeringInformation retrievalMetadataOGC servicesgeodata discovery020201 artificial intelligence & image processing[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]computer
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Continuum: A spatiotemporal data model to represent and qualify filiation relationships

2013

International audience; This work introduces an ontology-based spatio-temporal data model to represent entities evolving in space and time. A dynamic phenomenon generates a complex relationship network between the entities involved in the process. At the abstract level, the relationships can be identity or topological filiations. The existence of an identity filiation depends on whether the object changes its identity or not. On the other hand, topological filiations are based exclusively on the spatial component, like in the case of growth, reduction, merging or splitting. When combining identity and topological filiations, six filiation relationships are obtained, forming a second abstrac…

spatial dynamicsTheoretical computer sciencefiliationintegrity constraintsSpatio-temporal modelingspatio-temporal evolutionComputer scienceOntology (information science)Object (computer science)computer.software_genreSemantic data modelConsistency (database systems)[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]Data modelData integrityI.2.4 [ARTIFICIAL INTELLIGENCE]: Knowledge Representation Formalisms and Methods - Semantic networks. I.2.3 [ARTIFICIAL INTELLIGENCE]: Deduction and Theorem Proving - Inference engines.Identity (object-oriented programming)semanticreasoningData mining[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]computerSemantic Web
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A Semantic Model to Query Spatial–Temporal Data

2013

There is a growing need for the study of spatial–temporal objects and their relationships. A common approach for this task is the use of relational databases, which unfortunately do not allow inference. In this research, we introduce a new approach that uses the concept of a “continuum” together with ontologies and semantic Web technologies. The continuum allows us to define parent–child relationships between representations of objects. It also allows us to compare the evolution of two different objects and establish the relationships between them along time. Our approach is based on the four-dimensional fluent, which is extended to obtain spatial–temporal qualitative information from the a…

Information retrievalRelational databaseComputer sciencebusiness.industryInferenceSemantic data modelSemanticscomputer.software_genreTemporal databaseTask (project management)Knowledge baseData miningbusinessSemantic Webcomputer
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A Semantic Model to Query Spatial-Temporal Data

2013

International audience; There is a growing need for the study of spatial-temporal objects and their relationships. A common approach for this task is the use of relational databases, which unfortunately do not allow inference. In this research we introduce a new approach that uses the concept of "continuum" together with ontologies and semantic web technologies. The "continuum" allows us to defi ne parent-child relationships between representations of objects. It also allows us to compare the evolution of two diff erent objects and establish the relationships between them along time. Our approach is based on the 4D fluent, which is extended to obtain spatial-temporal qualitative information…

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH][INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]
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LC3 A Spatial-temporal Data Model to Study Qualified Land Cover Changes

2015

International audience; Land cover changes caused by humans have reached points never witnessed in history before. Consequences of these changes are environmental degradation, pollution of water, biodiversity loss and climate change among others. It is in this frame that the interest of the scientific community for this type of events has increased in the last decades. Nowadays, researchers have access to sophisticated monitoring tools and techniques. However, the new threat is that over abundance of information would hide relevant facts and processes. In our research we use data from the CORINE (Coordination of Information on the Environment) program. This program has compiled land cover i…

[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]spatial-temporal semantics[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]Spatial-temporal dynamics
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The spatio-temporal semantics from a perdurantism perspective

2013

International audience; In this paper we present the "continuum model". Our work follows a "perdurantism" approach and is designed to handle dynamic phenomena extending the 4D-fluent with the use of semantic web technologies. In our approach we represent dynamic entities as constituted by time slices each with semantic, geometric and temporal components. Our model is able to link the diverse representations of an entity and allows the inference of qualitative information from quantitative one. The inference results are later added to the ontology in order to enhance the knowledge base. The model has been implemented using OWL and SWRL. Our preliminary results are promising and we plan to fu…

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH][INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]spatio-temporalperdurantism[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]GISsemantics
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Multidimensional Land Cover Change Analysis using Vector Change and Land Cover Taxonomies

2015

International audience; Around the world, land cover changes occur due to natural and anthropogenic factors. In many cases, the consequences of anthropogenic interventions are unexpected. In order for scientists and policy makers to identify land cover change processes of interest, it is necessary suitable tools for early and efficient analysis of land cover data. In our research, we present a data model that makes use of semantic web technologies to manage a hierarchical structure of land cover types. Using this approach, it is possible to manage the land cover information at different levels of abstraction. In our research, we use a Change Vector Analysis approach to represent the land co…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processingdescription logics[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Webspatio-temporal[INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/Web[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-TT]Computer Science [cs]/Document and Text Processingland cover[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]
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