Search results for "Ontologie"

showing 10 items of 106 documents

Continuum : un modèle spatio-temporel et sémantique pour la découverte de phénomènes dynamiques au sein d’environnements géospatiaux

2015

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 model to discover knowledg…

[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 Processing[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/WebOntology[INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/Web[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-TT] Computer Science [cs]/Document and Text Processingdynamiques spatio-temporelles[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-TT]Computer Science [cs]/Document and Text Processingmodélisation et raisonnement spatial qualitatif[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Système d’Information Géographique[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]système d’aide à la décisionanalyse géospatiale[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]ontologie
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Multi-Domain Retrieval of Geospatial Data Sources Implementing a Semantic Catalogue

2015

International audience; Nowadays, the expertise of a user plays an important role in the search and retrieval in the information systems that usually combines general and specialized knowledge in the construction of queries. In addition, most of the queries systems are currently restricted on specific domains. Tackling these issues, we propose a methodology that implements a semantic catalogue in order to provide a smart queries system for retrieving data sources on the web by means of the extension of the user expertise. We propose the combination of a query expansion method, and the use of similarity measures and controlled vocabularies. Thus, it allows the system to recommend data source…

[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 Processing[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-WB]Computer Science [cs]/Websimilarity across ontologies.[ 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]multi-domain retrievalsmart queries[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]: Semantic catalogue[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing[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]knowledge engineering
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Extraction de la Valeur des données du Big Data par classification multi-label hiérarchique sémantique

2015

International audience; Cet article présente une solution centrée sur les ontologies pour la classification multi-label automatique d’information nécessaire à un système de recommandation d’informations économiques.

[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 Processingsystème de recommandation[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/Web[INFO.INFO-TT] Computer Science [cs]/Document and Text ProcessingOntologie[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 Processing[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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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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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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Ontology-based Integration of Web Navigation for Dynamic User Profiling

2015

The development of technology for handling information on a Big Data-scale is a buzzing topic of current research. Indeed, improved techniques for knowledge discovery are crucial for scientific and economic exploitation of large-scale raw data. In research collaboration with an industrial actor, we explore the applicability of ontology-based knowledge extraction and representation for today's biggest source of large-scale data, the Web. The goal is to develop a profiling application, based on the implicit information that every user leaves while navigating the online, with the goal to identify and model preferences and interests in a detailed user profile. This includes the identification o…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]lcsh:Computer engineering. Computer hardware[ INFO ] Computer Science [cs]Knowledge representation and reasoningComputer scienceSemantic Web Ontologies SWRL Big Data reasoningBig datalcsh:TK7885-789502 engineering and technologyOntology (information science)[INFO] Computer Science [cs][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Big Data reasoningWorld Wide WebKnowledge extraction020204 information systems0202 electrical engineering electronic engineering information engineeringOntologiesWeb navigation[INFO]Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebSWRLSemantic WebUser profilebusiness.industrylcsh:Zlcsh:Bibliography. Library science. Information resourcesSemantic technology020201 artificial intelligence & image processingbusiness
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Information indexing and recommendation : toward a precise description if items by an ontological approach based on business domain modeling : applic…

2015

Effective management of large amounts of information has become a challenge increasinglyimportant for information systems. Everyday, new information sources emerge on the web. Someonecan easily find what he wants if (s)he seeks an article, a video or a specific artist. However,it becomes quite difficult, even impossible, to have an exploratory approach to discover newcontent. Recommender systems are software tools that aim to assist humans to deal withinformation overload. The work presented in this Phd thesis proposes an architecture for efficientrecommendation of news. In this document, we propose an architecture for efficient recommendationof news articles. Our ontological approach relie…

[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]OntologySémantiqueOntologieEconomyNewsÉconomieReasonerActualitésKnowledge base[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Base de connaissancesSystèmes de recommandationRaisonneurRecommender systems[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic
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Linking BIM and GIS Standard Ontologies with Linked Data

2020

International audience; Following the analysis of existing BIM and GIS standards, formats, differences in the interpretations of the underlying concepts have been identified. Still, in each of the two considered domains several ontologies have been defined for these terms without seeking an alignment among their definitions. With this scope in mind, this article presents several mappings expressed by means of explicit semantic links between GIS concepts (as present in the related ontologies for the ISO 191XX standard family) and BIM concepts (as represented in the IFC standard ISO 16739:2018). Such semantic mappings are defined in order to ensure a knowledge continuum between both domains, …

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL]Linked Data[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Ontologies[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]BIM[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]GISSemantic Web Technologies[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]ISO standards
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De l'usage des logiques modales pour la gestion de l'incertitude des données : application en archéologie

2015

Archaeological information systems offer methods and tools for representing collected data and performing analyses with which taking into account imperfect data is often hard to please. Our contribution describes the use of several modal logics to model and verify the effects of the consideration of uncertain data, but also to check the quality of a corpus in an in-terdisciplinary collaborative environment. The modelling and the reasoning based on uncertain data, which are studied in this article, are integrated open and extensible platform allowing to manage archaeological data. From the computing point of view, the reasoner used, based on the first order logic, provides the archaeologists…

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]logiques modalesincertitudes[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]raisonnementontologieannotations sémantiques
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Reconstruction et analyse sémantique de chronologies cybercriminelles

2014

International audience; La reconstruction de scénarios est l’une des étapes les plus importantes d’une investigation numérique. Elle permet aux enquêteurs d’avoir une vue des évènements survenus durant un incident. La reconstruction de scénarios est une tâche complexe requérant l’étude d’un très grand nombre d’évènements en raison de l’omniprésence des nouvelles technologies dans notre quotidien. De plus, les conclusions produites se doivent de respecter les critères fixés par la justice. Afin de répondre à ces challenges, nous proposons une nouvelle méthodologie, basée sur une ontologie intégrant les connaissances d’experts des domaines de la criminalistique et de l’ingénierie logicielle, …

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH][ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY]Extraction de connaissances[INFO.INFO-WB] Computer Science [cs]/WebCriminalistique informatique[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-WB ] Computer Science [cs]/Web[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]OntologieReconstruction de scénarios
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