Search results for " semantic web"

showing 10 items of 50 documents

An Innovative Statistical Tool for Automatic OWL-ERD Alignment

2016

Aligning two representations of the same domain with different expressiveness is a crucial topic in nowadays semantic web and big data research. OWL ontologies and Entity Relation Diagrams are the most widespread representations whose alignment allows for semantic data access via ontology interface, and ontology storing techniques. The term ""alignment" encompasses three different processes: OWL-to-ERD and ERD-to-OWL transformation, and OWL-ERD mapping. In this paper an innovative statistical tool is presented to accomplish all the three aspects of the alignment. The main idea relies on the use of a HMM to estimate the most likely ERD sentence that is stated in a suitable grammar, and corre…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalRelation (database)computer.internet_protocolComputer scienceSemantic Web Rule LanguageComputer Science::Information Retrieval010401 analytical chemistry020206 networking & telecommunications02 engineering and technologyOntology (information science)SemanticsSemantic data model01 natural sciencesOWL-S0104 chemical sciences0202 electrical engineering electronic engineering information engineeringHidden Markov models Knowledge representation languages Ontologies (artificial intelligence) Semantic Web Databases OWL ERDSemantic WebcomputerSentence2016 IEEE Tenth International Conference on Semantic Computing (ICSC)
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Internet of Things Law. Of Privacy, Data Protection and Some Other Stuff

2014

The presentation at hand deals with the privacy, data protection and security aspects of the Internet of Things

Settore IUS/01 - Diritto PrivatoInternet of things cloud computing ubiquitous computing future Internet web of things semantic web privacy data protection security UK
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Integration of Spatial processing and knowledge Processing through the Semantic Web Stack

2011

International audience; This paper presents the integration process of spatial technologies and Semantic Web technologies and its associated tool. The result of this work is a spatial query and rule engine of spatial. To do so, existing ontology with spatial elements is adjusted in order to process the spatial knowledge through spatial technologies. This paper outlines the methods and the processes of these adjustments and how results are returned by our tool. The SWRL and the SPARQL language are extended for spatial purpose and the existing OWL ontology wine is used as an application example.

Spatial processing010504 meteorology & atmospheric sciencescomputer.internet_protocolComputer science02 engineering and technologyOntology (information science)computer.software_genre01 natural sciencesSPARQLOWL-SSocial Semantic WebRule languageOWL Ontology0202 electrical engineering electronic engineering information engineeringSPARQL[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic Web StackSemantic WebSWRL0105 earth and related environmental sciencesKnowledge processingInformation retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Databasebusiness.industrySemantic Web Rule Languagecomputer.file_formatSpatial query[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]020201 artificial intelligence & image processingbusinessQuery languagecomputer
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Global Understanding Environment: Towards Self-managed Web of Everything

2012

Current Web grows rapidly to several directions (from the Web of Documents to the Webs of Humans, Things, Services, Knowledge, Intelligence, etc.). Consequently the recent and future Web-based applications, systems and frameworks (like, e.g., Social and Ubiquitous Computing, SOA and Cloud Computing, etc.) should take into account challenges related to extremely high heterogeneity of components and exponentially increased complexity of a business logic connecting and making them interoperable. Enabling self-management enhanced with semantic technology seems to be an only option to handle that. We suggest adding a "virtual representative" to every resource in the Web to solve the global inter…

Ubiquitous computingComputer sciencebusiness.industryCloud computingcomputer.software_genreSocial Semantic WebWorld Wide WebIntelligent agentSemantic gridSemantic technologyWeb resourcebusinesscomputerSemantic Web
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Semantic web technologies for facilities management

2007

Facility management is the practice of coordinating the physical workplace with the people and work of the organization. It integrates the principles of business administration, architecture and the behavioral and engineering sciences. To deal with these requirements, we have developed a framework based on Semantic Web technologies: RDF, OWL, SWRL and named graph. This framework, called C-DMF, allows facilities manager to organize all knowledge generating during building lifecycle in end-user contextual graphs.

Web standardsKnowledge managementComputer sciencebusiness.industrycomputer.internet_protocolSocial Semantic WebOWL-SWorld Wide WebSemantic gridSemantic analyticsSemantic Web StackbusinesscomputerSemantic WebData Web2007 2nd International Conference on Digital Information Management
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Context DataModel Framework: semantic facilities management

2008

Facility management is the practice of coordinating the physical workplace with the people and work of the organisation. It integrates the principles of business administration, architecture and the behavioural and engineering sciences. Software dedicated to facility management are usually limited to spreadsheet software. With the development of the Industry Foundation Class (IFC; a new object-oriented standard to model buildings) and web-based networks, a new generation of methods and tools dedicated to facility management are required. To deal with these requirements, we have developed a framework based on Semantic Web technologies: RDF, Ontology Web Language (OWL), Semantic Web Rule Lang…

Web standardsKnowledge managementbusiness.industrySemantic Web Rule Languagecomputer.internet_protocolComputer scienceManagement Science and Operations ResearchOWL-SSocial Semantic WebSemantic analyticsSemantic Web StackBusiness and International ManagementSafety Risk Reliability and QualitySoftware engineeringbusinesscomputerSemantic WebData WebInternational Journal of Product Lifecycle Management
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Ontology languages for the semantic web: A never completely updated review

2006

This paper gives a never completely account of approaches that have been used for the research community for representing knowledge. After underlining the importance of a layered approach and the use of standards, it starts with early efforts used for artificial intelligence researchers. Then recent approaches, aimed mainly at the semantic web, are described. Coding examples from the literature are presented in both sections. Finally, the semantic web ontology creation process, as we envision it, is introduced.

Web standardsOntology Inference LayerInformation Systems and ManagementKnowledge representation and reasoningComputer sciencecomputer.internet_protocolProcess ontologyOntology (information science)computer.software_genreSocial Semantic WebOWL-SManagement Information SystemsWorld Wide WebOpen Biomedical OntologiesArtificial IntelligenceSemantic computingSemantic analyticsUpper ontologySemantic Web StackSemantic Webbusiness.industryOntology-based data integrationSuggested Upper Merged OntologyOntology languageOntologyArtificial intelligencebusinessWeb intelligencecomputerOntology alignmentSoftwareNatural language processingKnowledge-Based Systems
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Semantic to intelligent web era

2013

International audience; The Web has known a very fast evolution: going from the Web 1.0, known as Web of Documents where users are merely consumers of static information, to the more dynamic Web 2.0, known as social or collaborative Web where users produce and consume information simultaneously, and entering the more sophisticated Web 3.0, known as the Semantic Web by giving information a well-defined meaning so that it becomes more easily accessible by human users and automated processes. Fostering service intelligence and atomicity (the ability of autonomous services to interact automatically), remains one of the most upcoming challenges of the Semantic Web. This promotes the dawn of a ne…

Web standards[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]medicine.medical_specialty[INFO.INFO-WB] Computer Science [cs]/WebComputer scienceInternet of Things[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer sciencecomputer.software_genreSPARQLData SemanticsSocial Semantic WebRDFKnowledge baseIntelligent ServicesWorld Wide Web[SCCO.COMP] Cognitive science/Computer sciencemedicine[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic Web StackSemantic WebData WebSemantic WebOWL[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]XMLWeb[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]Web serviceWeb intelligencebusinesscomputerWeb modelingProceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
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Ontology-based Semantic Web Service platform in Mobile Environments

2006

The number of mobile terminals is continuously increasing in the world, although in many developed countries the market has saturated. Thus, the market can only grow if new service types are offered to the mobile terminals. One emerging technology that might make this possible is semantic web services. At the core of this technology are ontologies that are necessary for automatic discovery and composition of the services. In this paper we discuss how mobility affects the architectural considerations of semantic web service platform and particularly ontology management. We rely on reference architecture for Semantic Web Services in our work.

Web standardsbusiness.industryComputer sciencecomputer.internet_protocolcomputer.software_genreSocial Semantic WebOWL-SWorld Wide WebSemantic analyticsSemantic Web StackWeb servicebusinesscomputerSemantic WebData Web7th International Conference on Mobile Data Management (MDM'06)
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Semantic Multi-agent Architecture to Road Traffic Information Retrieval on the Web of Data

2013

In this paper, we describe a system based on FIPA standards to help the process of advertisement, discovery, invocation and reuse of traffic information on the web of data. The use of semantic web services (SWS) can be exploited to improve the outcomes in the discovery process, allowing end users to specify their need using concepts not keywords. Most of the traffic information is generally recovered by end users through web forms that specify their requirements, and must refill each time the same parameters to obtain the updated value from the web sites. Using agents besides Service Oriented Architecture (SOA), we will achieve interoperability between systems and also automatize the proces…

Web standardsmedicine.medical_specialtyInformation retrievalComputer sciencebusiness.industrycomputer.software_genreSocial Semantic WebWorld Wide WebmedicineSemantic Web StackWeb servicebusinessWS-PolicyWeb modelingcomputerSemantic WebData Web
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