Search results for " ontology"

showing 10 items of 175 documents

Ontology and protocol secure for SCADA: Int. J. of Metadata, Semantics and Ontologies, 2014 Vol.9, No.2, pp.114 - 127

2014

International audience; In this work, we present a semantic cyber security system and we study its semantic intelligent systems vulnerabilities, focusing on the semantic attacks. For resolving semantic problems we propose a security global solution for the new generation of SCADA systems. The proposed solution aims at protecting critical semantic SCADA processes from the effects of major failures and semantic vulnerabilities in the modern IT-SCADA network. We used a security block in the global network access point, security protocols deployed in different network (OSI) levels and security ontologies deployed in security devices. We used our mixed coordinates (ECC) cryptography solution, th…

[ INFO ] Computer Science [cs]security protocolsComputer sciencedata acquisition[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]020209 energy[ INFO.INFO-CR ] Computer Science [cs]/Cryptography and Security [cs.CR]Cryptography02 engineering and technologysemantic security blockLibrary and Information SciencesComputer securitycomputer.software_genreSOAP protocolSecurity information and event management[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI][INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]SCADAModbus protocolECC cryptography0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]SCADAcontrol systemsCloud computing securityvulnerabilitiesTOMSONbusiness.industryencryption technologyembedded applicationscyber securitysupervisory controlsemantic attacksCryptographic protocolComputer security modelsecurity ontologyComputer Science ApplicationsOSI modellow latencySecurity service020201 artificial intelligence & image processingbusinesscomputerInformation SystemsComputer network
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Semantic oriented data structuration for MABS Application to BIM

2013

International audience; This paper presents a multiagent-based simulation approach to qualify the usage of buildings from the design phase. Our approach combines ontology and evolution process based on machine learning algorithms. The ontology relies on semantic data structures for the representation of environment components, agent knowledge and all data generated during the simulation.

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationComputer scienceProcess (engineering)0211 other engineering and technologies020101 civil engineering02 engineering and technologyOntology (information science)Semantic data modelcomputer.software_genre0201 civil engineering021105 building & constructionUpper ontologyRepresentation (mathematics)business.industryOntology-based data integration[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationDesign phaseBuilding information modeling[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationData miningbusinessSoftware engineeringcomputer
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FOWLA, A Federated Architecture for Ontologies.

2015

International audience; The progress of information and communication technologies has greatly increased the quantity of data to process. Thus, managing data heterogeneity is a problem nowadays. In the 1980s, the concept of a Federated Database Architecture (FDBA) was introduced as a collection of components to unite loosely coupled federation. Semantic web technologies mitigate the data heterogeneity problem, however due to the data structure heterogeneity the integration of several ontologies is still a complex task. For tackling this problem, we propose a loosely coupled federated ontology architecture (FOWLA). Our approach allows the coexistence of various ontologies sharing common data…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Federated Ontology ArchitectureComputer scienceProcess (engineering)Distributed computing[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Ontology (information science)SPARQL[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]World Wide WebSPARQLArchitecture[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebComputingMilieux_MISCELLANEOUSSWRLOWLHorn-like rules[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]computer.file_formatSemantic interoperabilityData structuresemantic interoperabilitybackward-chaining reasoningInformation and Communications Technologycomputer
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Representing and Reasoning for Spatiotemporal Ontology Integration

2004

International audience; The World-Wide Web hosts many autonomous and heterogeneous information sources. In the near future each source may be described by its own ontology. The distributed nature of ontology development will lead to a large number of local ontologies covering overlapping domains. Ontology integration will then become an essential capability for effective interoperability and information sharing. Integration is known to be a hard problem, whose complexity increases particularly in the presence of spatiotemporal information. Space and time entail additional problems such as the heterogeneity of granularity used in representing spatial and temporal features. Spatio-temporal ob…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Information retrieval[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]Computer scienceOntologyProcess ontologyOntology-based data integrationSuggested Upper Merged OntologyIntegration[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]Spatio-Temporal data02 engineering and technologyOntology (information science)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Open Biomedical OntologiesMapping020204 information systemsOntology components0202 electrical engineering electronic engineering information engineeringUpper ontology020201 artificial intelligence & image processingOntology alignment
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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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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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TourismKM: a new Web Semantic based approach for E-Tourism

2010

International audience; Since 1970, technology innovations transformed radically the tourism processes and strategies, essentially with the Internet apparition. Nowadays, E-Tourism systems are well implanted into the Internet, with a lot of offers and online possibilities (reservations, virtual visit, etc.). Nevertheless, with the great evolution of the Internet, users' needs and attends changed too, they are now looking for more personalized and adapted contents. Here is the lack of the most E-Tourism systems, they are not, or a little, user centered. Based both on techniques of the Semantic Web and Adaptive Hypermedia Systems, this paper presents a solution for dynamic adaptation of the o…

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Adaptive web systeme-tourism[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]domain ontology[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]adaptive hypermedia system
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A Graph-based Tool for the Translation of XML Data to OWL-DL Ontologies

2011

International audience; Today most of the data exchanged between information systems is done with the help of the XML syntax. Unfortunately when these data have to be integrated, the integration becomes difficult because of the semantics' heterogeneity. Consequently, leading researches in the domain of database systems are moving to semantic model in order to store data and its semantics definition. To benefit from these new systems and technologies, and to integrate different data sources, a 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 proc…

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]ontology enrichment[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]XML data[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Ontology populationOWL ontologysemantic annotationRDFsemantic annotation.
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COBieOWL, an OWL ontology based on COBie standard

2015

International audience; Building Information Modelling (BIM) standards have been recognized by construction and political actors as a highly promising tool for resolving issues of data dematerialization, notably in the field of Architecture, Engineering, Construction and Facility Management. Among worldwide-adopted BIM standards, there is COBie. COBie’s goals are to dematerialize building data and to enhance building information interoperability. Nevertheless, COBie data is available in static formats such as STEP or spreadsheet templates. Such formats lack logical formalisms and semantic features provided by languages such as OWL. Because of this, in this paper, we propose a method for sem…

[INFO.INFO-WB] Computer Science [cs]/WebComputer science[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]0211 other engineering and technologies[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyCOBieOntology (information science)Semantic heterogeneityWorld Wide WebFacility management020204 information systemsFOAF021105 building & construction0202 electrical engineering electronic engineering information engineeringBuilding OntologyBuilding Information Modellingspreadsheet-to-OWLcomputer.programming_languagebusiness.industry[INFO.INFO-WB]Computer Science [cs]/WebWeb Ontology Languagecomputer.file_formatLinked dataRotation formalisms in three dimensions[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Building information modelingLinked Data[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]COBieOWLbusinessSoftware engineeringcomputer
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OntoVersionGraph : a change management methodology dedicated to formal ontologies and their user views in a collaborative context

2014

The world changes over time, impacting the knowledge of every subdomain it contains. Therefore systems describing the knowledge of a certain domain should be able to consider changes occurred to keep its knowledge representation up-to-date. Formal ontologies are one of them: they explicitly and formally represent the knowledge of a domain in all its forms and modes of existence. Collaboratively developed, a formal ontology allows the domain users to understand each other by sharing the same terminology despite the different assumptions they have on the domain conceptualization. However, due to its completeness, the complexity of its conceptualization can sometimes make the domain knowledge …

[INFO.INFO-WB] Computer Science [cs]/WebOntology VersioningFormal OntologyGestion du changement dans les ontologiesDescription LogicOntologie formelleOntology EvolutionLogique de descriptionKnowledge ManagementOntoVersionGraphEvolution d'ontologieOntology Change ManagementGestion du changementVersioning d'ontologieWeb sémantique[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationSemantic WebOWL[INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]
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