Search results for "Semantic web."

showing 10 items of 129 documents

Data Sources Handling for Emergency Management: Supporting Information Availability and Accessibility for Emergency Responders

2017

Information is an essential component for better emergency response. Although a lot of information being available at various places during any kind of emergency, many emergency responders (ERs) use only a limited amount of the available information. The reason for this is that the available information heterogeneously distributed, in different formats, and ERs are unable to get access to the relevant information. Moreover, without having access to the needed information, many emergency responders are not able to obtain a sufficient understanding of the emergency situation. Consequently, a lot of time is being used to search for the needed information and poor decisions may be made. Therefo…

021110 strategic defence & security studiesSituation awarenessEmergency managementcomputer.internet_protocolComputer sciencebusiness.industry0211 other engineering and technologies02 engineering and technologyService-oriented architectureComputer securitycomputer.software_genreData scienceInformation model0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingWeb servicebusinesscomputerSemantic WebInformation exchangeData integration
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Automatic Integration of Spatial Data into the Semantic Web

2017

International audience

021110 strategic defence & security studies[ INFO ] Computer Science [cs]Information retrieval[INFO.INFO-WB] Computer Science [cs]/Webbusiness.industryComputer scienceOntology-based data integration05 social sciences[INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/Web0211 other engineering and technologies050801 communication & media studies02 engineering and technology[INFO] Computer Science [cs]Social Semantic Web0508 media and communicationsSemantic computingSemantic analyticsSemantic integration[INFO]Computer Science [cs]Semantic Web StackbusinessSemantic WebData WebComputingMilieux_MISCELLANEOUS
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Towards Self-explanatory Ontology Visualization with Contextual Verbalization

2016

Ontologies are one of the core foundations of the Semantic Web. To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, the users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readable right away and might be preferred in case of complex axioms, however, the structure of the ontology would remain less apparent. We propose to combine ontology visualizations with contextual ontology verbalizations of selected ontology (diagram) e…

0301 basic medicineStructure (mathematical logic)Computer sciencebusiness.industry05 social sciences050301 educationRepresentation (arts)Ontology (information science)computer.software_genreNotationlanguage.human_languageDomain (software engineering)03 medical and health sciences030104 developmental biologyControlled natural languagelanguageArtificial intelligencebusiness0503 educationcomputerSemantic WebNatural language processingAxiom
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Semantically enriched informed environment for multi-agent simulation : application to simulation in 3D virtual environment

2014

This thesis focuses on multi-agent simulation applied to the simulation of individuals in virtual 3D buildings. To do this, our work suggests to capitalize on the experience gained in the field of semantic web ontologies and inference engines to facilitate the design and development of intelligent behavior for agents operating in virtual worlds. The goal is to provide to agents a generic approach to managing their representation of the world and reason about this representation. For this, the central problem is based on the definition of a decidable ontology modeling all of the knowledge contained in the virtual 3D environment to enrich semantically the environment of a multi-agent simulati…

Agents intelligents[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Multi-agents based simulations[INFO.INFO-WB] Computer Science [cs]/WebOntology[INFO.INFO-WB]Computer Science [cs]/WebSmart agentsOntologieSmart environment[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]ReasonerTriplestoreRaisonneurEnvironnement intelligentWeb sémantiqueSemantic webSimulation multi-agents
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A Map-Based Visualization Tool To Support Tutors In E-Learning 2.0

2009

Web 2.0 regards essentially the social issues about the new usage of web applications, but participative web and user generated contents induce a new way to think about the design of the web applications themselves. This is particularly true in the field of educational systems that are all web based applications. Many researchers are now devoted to study what is called e-learning 2.0 both as regards the technological issues in the field of computer science, and in relation to the impact of the web 2.0 social and psychological issues on the education process itself. One of the most crucial topics in e-learning 2.0 is the way to provide support to the teacher/tutor to avoid cognitive overload…

Class (computer programming)medicine.medical_specialtyWeb 2.0business.industryComputer scienceSocial Semantic WebIntelligent tutoring systemHuman–computer interactionmapmedicineWeb applicationThe InternetTUTORbusinesscomputerWeb modelinge-learningcomputer.programming_language
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Predictive and Evolutive Cross-Referencing for Web Textual Sources

2017

International audience; One of the main challenges in the domain of competitive intelligence is to harness important volumes of information from the web, and extract the most valuable pieces of information. As the amount of information available on the web grows rapidly and is very heterogeneous, this process becomes overwhelming for experts. To leverage this challenge, this paper presents a vision for a novel process that performs cross-referencing at web scale. This process uses a focused crawler and a semantic-based classifier to cross-reference textual items without expert intervention, based on Big Data and Semantic Web technologies. The system is described thoroughly, and interests of…

Competitive intelligenceComputer science[SPI] Engineering Sciences [physics]Big data02 engineering and technologyReasonningFocused crawlerDiscovery[INFO] Computer Science [cs]World Wide WebKnowledge-based systems[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI][SPI]Engineering Sciences [physics]020204 information systems0202 electrical engineering electronic engineering information engineeringLeverage (statistics)[INFO]Computer Science [cs]Semantic Web[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]business.industryOntologyFocused CrawlerWork in processClassificationAdaptive[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsCross-ReferencingClasssification020201 artificial intelligence & image processingbusinessClassifier (UML)Model
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Creating a semantically-enhanced cloud services environment through ontology evolution

2014

Currently, the availability of Web resources has grown enormously to the point that whatever a user needs at a given moment can potentially be found on the Internet. These resources are not limited to data items anymore, functionality delivered through some sort of service architectural model is also offered on the Internet. In the last few years, cloud computing has emerged as one of the most popular computing models to provide services over the Internet. However, as the number of available cloud services increases, the problem of service discovery and selection arises. Experience indicates that semantic technologies can provide the basis for enhanced and more precise search processes. In …

Computer Networks and CommunicationsComputer sciencecomputer.internet_protocolService discoveryCloud computingcomputer.software_genreSocial Semantic WebOWL-SWorld Wide WebSemantic computingSemantic analyticsUpper ontologySemantic Web StackSemantic WebInformation retrievalbusiness.industrySearch engine indexingSemantic searchInformation extractionSemantic gridHardware and ArchitectureOntologySemantic technologyThe InternetWeb resourcebusinesscomputerSoftwareFuture Generation Computer Systems
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Querying and reasoning over large scale building data sets

2016

International audience; The architectural design and construction domains work on a daily basis with massive amounts of data. Properly managing, exchanging and exploiting these data is an ever ongoing challenge in this domain. This has resulted in large semantic RDF graphs that are to be combined with a significant number of other data sets (building product catalogues, regulation data, geometric point cloud data, simulation data, sensor data), thus making an already huge dataset even larger. Making these big data available at high performance rates and speeds and into the correct (intuitive) formats is therefore an incredibly high challenge in this domain. Yet, hardly any benchmark is avai…

Computer scienceData managementBig data[ INFO.INFO-WB ] Computer Science [cs]/Web0211 other engineering and technologiesifcOWL02 engineering and technologySemantic data modelcomputer.software_genreDomain (software engineering)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Set (abstract data type)benchmarksemantic webbig data021105 building & construction0202 electrical engineering electronic engineering information engineering[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic Web[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-WB]Computer Science [cs]/WebData set[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Building information modelingBenchmark (computing)reasoning020201 artificial intelligence & image processingData miningbusinesscomputer
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Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags

2013

Social media services such as Last.fm provide crowd-sourced mood tags which are a rich but often noisy source of information. In contrast, editorial annotations from production music libraries are meant to be incisive in nature. We compare the efficiency of these two data sources in capturing semantic information on mood expressed by music. First, a semantic computing technique devised for mood-related tags in large datasets is applied to Last.fm and I Like Music (ILM) corpora separately (250,000 tracks each). The resulting semantic estimates are then correlated with listener ratings of arousal, valence and tension. High correlations (Spearman's rho) are found between the track positions in…

Computer sciencebusiness.industryBehavioural sciencesMusicalcomputer.software_genreWorld Wide WebMoodSemantic computingta6131Social mediaArtificial intelligenceValence (psychology)businessSemantic WebcomputerNatural language processing2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
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OWL2: The Next Step for OWL

2008

Since achieving W3C recommendation status in 2004, the Web Ontology Language (OWL) has been successfully applied to many problems in computer science. Practical experience with OWL has been quite positive in general; however, it has also revealed room for improvement in several areas. We systematically analyze the identied short-comings of OWL, such as expressivity issues, problems with its syntaxes, and deficiencies in the definition of OWL species. Furthermore, we present an overview of OWL 2 -- an extension to and revision of OWL that is currently being developed within the W3C OWL Working Group. Many aspects of OWL have been thoroughly reengineered in OWL 2, thus producing a robust plat…

Computer sciencebusiness.industryComputingMethodologies_DOCUMENTANDTEXTPROCESSINGWeb Ontology LanguageInformationSystems_MISCELLANEOUSOntology languageSoftware engineeringbusinessComputingMethodologies_ARTIFICIALINTELLIGENCESemantic Webcomputercomputer.programming_languageSSRN Electronic Journal
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