Search results for "Suggested Upper Merged Ontology"

showing 10 items of 13 documents

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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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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A literature review of sensor ontologies for manufacturing applications

2013

The purpose of this paper is to review existing sensor and sensor network ontologies to understand whether they can be reused as a basis for a manufacturing perception sensor ontology, or if the existing ontologies hold lessons for the development of a new ontology. We develop an initial set of requirements that should apply to a manufacturing perception sensor ontology. These initial requirements are used in reviewing selected existing sensor ontologies. Additionally, we present our developed sensor ontology thus far that incorporates a refined list of requirements. This paper describes 1) extending and refining the requirements; 2) proposing hierarchical structures for verifying the purpo…

Ontology Inference LayerDatabaseComputer sciencebusiness.industrycomputer.internet_protocolOntology-based data integrationProcess ontologySuggested Upper Merged OntologyOntology (information science)computer.software_genreOWL-SUpper ontologySoftware engineeringbusinesscomputerOntology alignment2013 IEEE International Symposium on Robotic and Sensors Environments (ROSE)
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A Survey on Ontology Evaluation Methods

2015

International audience; Ontologies nowadays have become widely used for knowledge representation, and are considered as foundation for Semantic Web. However with their wide spread usage, a question of their evaluation increased even more. This paper addresses the issue of finding an efficient ontology evaluation method by presenting the existing ontology evaluation techniques, while discussing their advantages and drawbacks. The presented ontology evaluation techniques can be grouped into four categories: gold standard-based, corpus-based, task-based and criteria based approaches.

Ontology Inference Layer[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][ INFO.INFO-TT ] Computer Science [cs]/Document and Text ProcessingComputer sciencecomputer.internet_protocolProcess ontology[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)OWL-S[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]020204 information systems0202 electrical engineering electronic engineering information engineeringUpper ontology[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]EvaluationInformation retrievalOntologyOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebSuggested Upper Merged Ontology[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-TT]Computer Science [cs]/Document and Text Processing[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]020201 artificial intelligence & image processing[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]computerOntology alignmentSemantic web
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Ontology Views for Ontology Change Management

2014

International audience; In the literature, ontology change management systems (OCMS) are direct implementation of the concept of “change management” stated by reference (Klein, 2004). Ontology change management combines ontol- ogy evolution and versioning features to manage ontol- ogy changes and their impacts. Since 2007, many works have combined ontology evolution and versioning into ontology change management systems (OCMS). The evolution subject has been massively studied in these works. They especially addressed the consistence issue for the application of changes on the ontology. These proposals constituted a consequent background for ontology change management but they did not take i…

Ontology Inference Layer[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationComputer scienceProcess ontologyURI[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)computer.software_genreRDFOpen Biomedical Ontologies[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]ontology evolution0202 electrical engineering electronic engineering information engineeringUpper ontologyontologyOWL DLOWLInformation retrievalOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebSuggested Upper Merged Ontologymaterialized view020207 software engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[ INFO.INFO-FL ] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]database viewontology mapping020201 artificial intelligence & image processingData miningComputingMethodologies_GENERALontology change managementOntology alignmentcomputer
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Modeling Changes for SHOIN(D) Ontologies: An Exhaustive Structural Model

2013

Ontology development starts with a rigorous ontological analysis that provides a conceptualization of the domain to model agreed by the community. An ontology, specified in a formal language, approximates the intended models of this conceptualization. It needs then to be revised and refined until an ontological commitment is found. Also ulterior updates, responding to changes in the domain and/or the conceptualization, are expected to occur throughout the ontology life cycle. To handle a consistent application of changes, a couple of ontology evolution methodologies have been proposed. Maintaining the structural consistency is one of the ontology evolution criteria. It implies modeling chan…

Ontology Inference Layer[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-WB] Computer Science [cs]/WebComputer scienceProcess ontology030303 biophysicsData_MISCELLANEOUS[ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyOntology (information science)computer.software_genre03 medical and health sciencesOntology chart[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]SHOIN(D) Description LogicOntology components0202 electrical engineering electronic engineering information engineeringUpper ontologyOWL DL[INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]0303 health sciencesbusiness.industryOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebSuggested Upper Merged Ontology[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]Structural ConsistencyOntology EvolutionIEEE[ INFO.INFO-FL ] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]Ontology Model020201 artificial intelligence & image processing[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]Artificial intelligenceComputingMethodologies_GENERALChange ModellingbusinesscomputerNatural language processing
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Model Driven Specification of Ontology Translations

2008

The alignment of different ontologies requires the specification, representation and execution of translation rules. The rules need to integrate translations at the lexical, the syntactic and the semantic layer requiring semantic reasoning as well as low-level specification of ad-hoc conversions of data. Existing formalisms for representing translation rules cannot cover the representation needs of these three layers in one model. We propose a metamodel-based representation of ontology alignments that integrate semantic translations using description logics and lower level translation specifications into one model of representation for ontology alignments.

Ontology Inference Layerbusiness.industryProgramming languageComputer scienceOntology-based data integrationProcess ontologySuggested Upper Merged Ontology02 engineering and technologyOntology (information science)computer.software_genreDescription logic020204 information systems0202 electrical engineering electronic engineering information engineeringUpper ontology020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerOntology alignmentNatural language processingLecture Notes in Computer Science Conceptual Modeling - ER 2008
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Data Mining of Specific-Domain Ontology Components

2008

This paper describes an approach for eliciting ontology components by using knowledge maps. The knowledge contained in a particular domain, any kind of text digital archive, is portrayed by assembling and displaying its ontology components.

Open Biomedical OntologiesOntology Inference LayerInformation retrievalComputer scienceOntology-based data integrationOntology componentsProcess ontologySuggested Upper Merged OntologyUpper ontologyData miningOntology (information science)computer.software_genrecomputer
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Semi-automatic Derivation of Specific-Domain Ontologies for the Semantic Web

2006

This paper describes an approach for helping in the semi-automatic construction of specific-domain ontology components contained in a digital archive. This proposal for extracting knowledge from digital sources allows users to have a view of this knowledge and visualize specific-domain ontology components that with further processing can be shared with software agents by embedding it into digital archives themselves in the context of the Semantic Web. In particular, we deal with the issue of not constructing the ontology from scratch, our approach helps us to speed up the ontology creation process.

Open Biomedical OntologiesWorld Wide WebOntology Inference LayerInformation retrievalComputer sciencecomputer.internet_protocolProcess ontologyOntology-based data integrationSuggested Upper Merged OntologyUpper ontologyOntology (information science)computerOWL-S2006 Fifth Mexican International Conference on Artificial Intelligence
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