Search results for "Web"

showing 10 items of 2018 documents

Integration of Spatial Technologies and Semantic Web Technologies for Industrial Archaeology

2010

International audience; We propose a method that uses the advancement in spatial technologies from current database systems within the Semantic Web Technologies in order to enrich and to populate the knowledge of a domain defined in an OWL-DL ontology. The results of spatial operations and functions are used to populate and to enrich ontologies with new individuals and new relationships. The advantage of spatial analysis within Semantic Web technologies is the diversity of the functionalities provided by the combination of spatial operations and the rule language of the Semantic Web (SWRL). This method is applied in the industrial archaeology domain in order to enhance the knowledge managem…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]semantic webspatial analysisindustrial archaeology[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]ontologyknowledge management[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]SWRL[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]OWL
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Approche sémantique pour la recommandation de documents textuels dans un contexte Big Data appliquée à la veille économique

2015

11H30-13H00 Conférencier invité Christophe Cruz (Le2i, Université de Bourgogne) : « Approche sémantique pour la recommandation de documents textuels dans un contexte Big Data appliquée à la veille économique » (Présidence de session : Eric Kergosien)

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/WebOntologie[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]inférencedonnées massivestexte
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From Text to Knowledge and Knowledge to Text.

2015

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/WebOntology[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]GIS
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Système de recommandation sémantique de news économiques pour la veille

2014

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
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Approche ontologique pour l'analyse de données spatiales, Journée Scientifique Pluridisciplinaire, Traitements Statistiques des Données Spatiales

2014

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
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HIGEOMES : bilan et perspectives

2014

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
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Usage de la sémantique : des services de catalogue à l’analyse des phénomènes dynamiques

2014

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-TT] Computer Science [cs]/Document and Text Processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
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An Ontology-Based Approach for the Reconstruction and Analysis of Digital Incidents Timelines

2015

International audience; Due to the democratisation of new technologies, computer forensics investigators have to deal with volumes of data which are becoming increasingly large and heterogeneous. Indeed, in a single machine, hundred of events occur per minute, produced and logged by the operating system and various software. Therefore, the identification of evidence, and more generally, the reconstruction of past events is a tedious and time-consuming task for the investigators. Our work aims at reconstructing and analysing automatically the events related to a digital incident, while respecting legal requirements. To tackle those three main problems (volume, heterogeneity and legal require…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-WB] Computer Science [cs]/WebComputer scienceOntology PopulationDigital forensics[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyEvent ReconstructionOntology (information science)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]SoftwareKnowledge extraction[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]020204 information systemsForensic OntologyTimeline Analysis0202 electrical engineering electronic engineering information engineering[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Event reconstructionKnowledge Extractionbusiness.industry[INFO.INFO-WB]Computer Science [cs]/WebTimelineComputer forensicsData scienceComputer Science Applications[ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Medical Laboratory TechnologyIdentification (information)Digital Forensics[INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]020201 artificial intelligence & image processingbusinessLaw
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A Federated Approach for Interoperating AEC/FM Ontologies

2016

International audience; Over the last few years, the benefits of applying ontologies (semantic graph modelling) for Architecture, Engineering, Construction and Facility Management (AEC/FM) industry have been recognized by several researchers and industry stakeholders. One of the main motivations is because it eases AEC data manipulation and representation. However, a research question that still remains open is how to take advantage of semantic web technologies to interoperate the AEC/FM and other ontologies in a flexible and dynamical way in order to solve data structure heterogeneity problem. Because of this, we propose in this paper to apply a rule-based federated architecture to answer …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-WB] Computer Science [cs]/WebHorn-like rules[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/WebifcOWLinteroperability[ INFO.INFO-SE ] Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]federated architecture[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]AECsemantic heterogeneity[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]
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A Rule Based System for Semantical Enrichment of Building Information Exchange

2014

International audience; In the area of building construction and management, the dematerial-ization of data and processes has been a global issue for the past 10 years. Go-ing beyond the geometric representation of a building, Building Information Modeling (BIM) is an approach that aims at integrating into one single system heterogeneous data and processes from different actors. Such integration is a complex and fastidious task. The implementation of the related processes for data querying, retrieval or modification is not less difficult. To tackle this prob-lem, we have developed a novel approach based on Semantic Web technolo-gies. In doing so, we have defined an ontology inspired on IFC …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/WebSPARQL[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]semantic webAECBIMIFContologies[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]SWRLOWL
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