Search results for "intelligence"

showing 10 items of 6959 documents

Optimisation et implémentation de méthodes bio-inspirées d'extraction de caractéristiques pour la reconnaissance d'objets visuels

2016

Industry has growing needs for so-called “intelligent systems”, capable of not only ac-quire data, but also to analyse it and to make decisions accordingly. Such systems areparticularly useful for video-surveillance, in which case alarms must be raised in case ofan intrusion. For cost saving and power consumption reasons, it is better to perform thatprocess as close to the sensor as possible. To address that issue, a promising approach isto use bio-inspired frameworks, which consist in applying computational biology modelsto industrial applications. The work carried out during that thesis consisted in select-ing bio-inspired feature extraction frameworks, and to optimize them with the aim t…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Bio-inspiréApprentissage automatiqueIntelligence artificielle[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Descripteurs[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]EmbarquéAlgorithm-architecture matching[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]Vision par ordinateurMachine learningRéseaux de neuronesComputer vision[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]OptimisationsFPGANeural networks[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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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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ArchaeoKM: Realizing Knowledge of the Archaeologists

2010

The potentiality of ontology within the faculty of archaeology has recently been felt. However, the use of ontology is limited either within the data interoperability for data sharing within various heterogeneous platforms or data integration of heterogeneous dataset. Thus the full potentiality of ontology is still to be realized within the community of archaeology. We are developing a system "ArchaeoKM" which uses ontology beyond data integration. It uses the strength of ontology to reason the knowledge presented within. Additionally, ArchaeoKM involves archaeologists to define their knowledge of an excavation site through domain rules which they define through the descriptions and observa…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]information system[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]spatial data[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]ontologyknowledge management[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Industrial archaeology
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Graphe-Based Rules For XML Data Conversion to OWL Ontology

2010

International audience; The paper presents a flexible method to enrich and populate an existing OWL ontology from XML data based on graph-based rules. These rules are defined in order to populate automatically a new version of an OWL ontology. Today, most of data exchanged between information systems is done with the help of the XML document. Leading researches in the domain of database systems are moving to semantic model in order to store data and its semantics definition. This flexible method consists in populating an existing OWL ontology from XML data. In paper we present such a method based on the definition of a graph which represents rules that drive the populating process.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]ontology enrichment[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]XML dataComputingMethodologies_DOCUMENTANDTEXTPROCESSING[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Ontology population[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]OWL ontologysemantic annotation[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]RDF
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Semantics - Supportive Element for the Cooperative Evaluation of Geographical and Historical Information

2013

International audience; The emergence of the Semantic Web and its underlying knowledge technologies has brought changes in data han- dling. Transferring expert knowledge to machines through knowledge formalization provides us the required support in managing huge datasets like the information in the World Wide Web. In the field of geospatial technology semantic technologies not only entail the capability to achieve higher degree of data integration but also infer semantics to discover new and hidden knowledge. This is of particular interest in the field of archaeology, where complex interrelations among heterogeneous datasets exist. Although researches on seman- tics are active areas in geo…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Geographical and Historical InformationHigeomes[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Semantics
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Semantic and Multi-scale BIM/CIM/LIM

2019

Compliance checking for building models, cities and territories involve formalizing a set of model schema knowledge and constraint. The objective of our study is to propose: an information model to federate heterogeneous data sources describing an urban area (building and building environment) along with a method for formally specifying of urban rules. The overall goal we pursue is to be able to query and to verify data against different regulations and/or requirements. The purpose of this article is to describe our approach for interoperability among different data sources (e.g. IFC, CityGML) thus creating a consistent description of an urban area.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]FédérationSemantic interoperabilityCityGML[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]GISSIGInteropérabilité sémantique[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL][SPI.GCIV] Engineering Sciences [physics]/Civil EngineeringBIMIFCCIMFederation BIM
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An Essay on Denotational Mathematics

2019

Denotational mathematics is a new rigorous discipline of theoretical computer science that springs out from the attempt to provide a suitable mathematical framework in which laid out new algebraic structures formalizing certain formal patterns coming from computational and natural intelligence, software science, cognitive informatics, neuronal networks, and artificial intelligence. In this chapter, a very brief but rigorous exposition of the main formal structures of denotational mathematics is outlined within naive set theory.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]02 engineering and technology[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM][MATH.MATH-CT] Mathematics [math]/Category Theory [math.CT][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]020204 information systems0202 electrical engineering electronic engineering information engineeringMathematics education020201 artificial intelligence & image processing[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]ComputingMilieux_MISCELLANEOUS[MATH.MATH-CT]Mathematics [math]/Category Theory [math.CT]Mathematics
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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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