Search results for "Upper ontology"

showing 10 items of 25 documents

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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Mobile Ontologies

2008

The number of mobile subscribers in the world is soon reaching the three billion mark. According to the newest estimates, majority of the subscribers are already in the developing countries, whereas the number of subscribers in the industrialized countries is about to stagnate around one billion. Because especially in the developing countries the only access to Internet are mobile devices, developing high quality services based on them grows in importance. Ontologies are an important ingredient towards more complicated mobile services and wider usage of mobile terminals. In this article, we first discuss ontology and epistemology concepts in general. After that, we review ontologies in the …

Computer Networks and Communicationsbusiness.industryComputer scienceOntology-based data integrationProcess ontologyMobile business developmentOntology (information science)Domain (software engineering)World Wide WebUpper ontologyThe InternetbusinessMobile deviceInformation SystemsInternational Journal on Semantic Web and Information Systems
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Domain-Specific OWL Ontology Visualization with OWLGrEd

2015

The OWLGrEd ontology editor allows graphical visualization and authoring of OWL 2.0 ontologies using a compact yet intuitive presentation that combines UML class diagram notation with textual Manchester syntax for expressions. We present an extension mechanism for OWLGrEd that allows adding custom information areas, rules and visual effects to the ontology presentation thus enabling domain specific OWL ontology visualizations. The usage of OWLGrEd and its extensions is demonstrated on ontology engineering examples involving custom annotation visualizations, advanced UML class dia-gram constructs and integrity constraints in semantic database schema design.

Computer sciencecomputer.internet_protocolProgramming languageOntology-based data integrationProcess ontologySuggested Upper Merged OntologyOntology (information science)computer.software_genreOntology engineeringOWL-SWorld Wide WebOpen Biomedical OntologiesUpper ontologycomputer
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Building Ontologies from XML Data Sources

2009

In this paper, we present a tool called X2OWL that aims at building an OWL ontology from an XML datasource. This method is based on XML schema to automatically generate the ontology structure, as well as, a set of mapping bridges. The presented method also includes a refinement step that allows to clean the mapping bridges and possibly to restructure the generated ontology.

Document Structure DescriptionComputer sciencecomputer.internet_protocolProcess ontologyEfficient XML InterchangeXML SignatureOntology (information science)computer.software_genreXML Schema EditorStreaming XMLUpper ontologyXML schemaRDFSemantic Webcomputer.programming_languageInformation retrievalOntology-based data integrationSuggested Upper Merged OntologyWeb Ontology LanguageXML validationcomputer.file_formatXML frameworkXML databaseComputingMethodologies_DOCUMENTANDTEXTPROCESSINGOntologycomputerXML2009 20th International Workshop on Database and Expert Systems Application
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Discovering learning paths on a domain ontology using natural language interaction

2005

The present work investigates the problem of determining a learning path inside a suitable domain ontology. The proposed approach enables the user of a web learning application to interact with the system using natural language in order to browse the ontology itself. The course related knowledge is arranged as a three level hierarchy: content level, symbolic level, and conceptual level bridging the previous ones. The implementation of the ontological, the interaction, and the presentation component inside the TutorJ system is explained, and the first results are presented.

HierarchyNatural language interactionComputer sciencebusiness.industryProcess ontologyA domainOntology (information science)computer.software_genreBridging (programming)Human–computer interactionOntologyUpper ontologyArtificial intelligenceweb learning application natural language ontologybusinesscomputerNatural languageNatural language processing
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An ontology change management approach for facility management

2014

International audience; Facility management (FM) or technical property management is an approach to operate, maintain, improve and adapt buildings and infrastructures of organizations. A FM project requires the cooperation of many actors from different domains so it has to be automated in a constrained collaborative environment. This paper proposes a new approach for ontology change management applied on facility management of such projects. The industrial challenge is, firstly, to ensure consistency of a FM project knowledge from the construction phase to the technical property management phase (after delivery). Secondly, it has to provide to each actor of the project a personal up-to-date…

Information managementEngineering[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-TT ] Computer Science [cs]/Document and Text ProcessingProcess managementKnowledge managementGeneral Computer Sciencebusiness.industryOntology-based data integrationProcess ontology[INFO.INFO-WB]Computer Science [cs]/WebGeneral Engineering[ INFO.INFO-WB ] Computer Science [cs]/Web[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]Ontology (information science)Change management (ITSM)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-TT]Computer Science [cs]/Document and Text ProcessingFacility management[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Upper ontology[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]business[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Project management triangle
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Combining OWL ontologies usingE-Connections

2006

The standardization of the Web Ontology Language (OWL) leaves (at least) two crucial issues for Web-based ontologies unsatisfactorily resolved, namely how to represent and reason with multiple distinct, but linked ontologies, and how to enable effective knowledge reuse and sharing on the Semantic Web. In this paper, we present a solution for these fundamental problems based on E-Connections. We aim to use E-Connections to provide modelers with suitable means for developing Web ontologies in a modular way and to provide an alternative to the owl:imports construct. With such motivation, we present in this paper a syntactic and semantic extension of the Web Ontology language that covers E-Conn…

Information retrievalDatabaseComputer Networks and Communicationsbusiness.industrySemantic Web Rule Languagecomputer.internet_protocolComputer scienceWeb Ontology LanguageOntology (information science)computer.software_genreSocial Semantic WebOWL-SHuman-Computer InteractionUpper ontologySemantic Web StackbusinesscomputerSemantic WebSoftwarecomputer.programming_languageJournal of Web Semantics
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A Web Centric Semantic Mediation Approach for Spatial Information Systems

2006

International audience; Semantic mediation is increasingly at the heart of the design of emerging webbased information systems, particularly spatial information systems thatrequire the integration or interoperation of a collection of heterogeneousdata sources. Ontologies are increasingly used to represent agreed semantic ofapplications by providing formal description models and related tools toexplicitly specify the conceptual entities of an application. Past research intraditional database integration has identified key issues in the resolution ofvarious structural and semantic conflicts. Recent research effort has extendedthis early research to address the interoperability of spatial info…

Information retrieval[ INFO ] Computer Science [cs]computer.internet_protocolComputer scienceOntology-based data integrationProcess ontology02 engineering and technology[INFO] Computer Science [cs]Semantic interoperabilityOntology (information science)Language and LinguisticsOWL-SComputer Science ApplicationsHuman-Computer Interaction020204 information systems0202 electrical engineering electronic engineering information engineeringUpper ontology020201 artificial intelligence & image processingSemantic integration[INFO]Computer Science [cs]Semantic Web Stackcomputer
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A Context-Based Enterprise Ontology

2007

The main purpose of an enterprise ontology is to promote the common understanding between people across enterprises, as well as to serve as a communication medium between people and applications, and between different applications. This paper outlines a top-level ontology, called the context-based enterprise ontology, which aims to advance the understanding of the nature, purposes and meanings of things in enterprises with providing basic concepts for conceiving, structuring and representing things within contexts and/or as contexts. The ontology is based on the contextual approach according to which a context involves seven domains: purpose, actor, action, object, facility, location, and t…

Knowledge managementbusiness.industryComputer scienceOntology-based data integrationProcess ontologySuggested Upper Merged OntologyOntology (information science)computer.software_genreOntology engineeringWorld Wide WebOntology chartUpper ontologybusinessOntology alignmentcomputer
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Convergence of Web 2.0 and Semantic Web: A Semantic Tagging and Searching System for Creating and Searching Blogs

2007

The work presented in this paper aims to combine Latent Semantic Analysis methodology, common sense and traditional knowledge representation in order to improve the dialogue capabilities of a conversational agent. In our approach the agent brain is characterized by two areas: a "rational area", composed by a structured, rule-based knowledge base, and an "associative area", obtained through a data- driven semantic space. Concepts are mapped in this space and their mutual geometric distance is related to their conceptual similarity. The geometric distance between concepts implicitly defines a sub-symbolic relationship net, which can be seen as a new "sub- symbolic semantic layer" automaticall…

Latent semantic analysisbusiness.industryComputer sciencecomputer.software_genreFeature (linguistics)Knowledge baseSemantic similaritySoftware agentSimilarity (psychology)OntologyUpper ontologyArtificial intelligencebusinesscomputerNatural language processingInternational Conference on Semantic Computing (ICSC 2007)
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