UML for ontology development

Kogut, Paul; Cranefield, Stephen; Hart, Lewis; Dutra, Mark; Bacławski, Kenneth; Kokar, Mieczyslaw M.; Smith, Jeffrey E.

doi:10.1017/s0269888902000358

Cited by 122 publications

(61 citation statements)

References 6 publications

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“…DUET [49] is being developed by AT&T Government Solutions Advanced Systems Group. It offers a UML visualization and authoring environment for DAML þ OIL, which is integrated as a plugin in the Rational Rose suite.…”

Section: Ontology Development Toolsmentioning

confidence: 99%

Methodologies, tools and languages for building ontologies. Where is their meeting point?

Corcho

Fernández-López

Gómez-Pérez

2003

Data & Knowledge Engineering

541

278

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In this paper we review and compare the main methodologies, tools and languages for building ontologies that have been reported in the literature, as well as the main relationships among them. Ontology technology is nowadays mature enough: many methodologies, tools and languages are already available. The future work in this field should be driven towards the creation of a common integrated workbench for ontology developers to facilitate ontology development, exchange, evaluation, evolution and management, to provide methodological support for these tasks, and translations to and from different ontology languages. This workbench should not be created from scratch, but instead integrating the technology components that are currently available.

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Section: Ontology Development Toolsmentioning

confidence: 99%

Methodologies, tools and languages for building ontologies. Where is their meeting point?

Corcho

Fernández-López

Gómez-Pérez

2003

Data & Knowledge Engineering

541

278

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“…The field is relatively young, yet several tools have been developed and many more are on the horizon for creating OWL ontologies and processing OWL documents. In our work, we create ontologies as UML diagrams and then programmatically convert them into DAML/OWL representations [18].…”

Section: Ontologiesmentioning

confidence: 99%

Use Cases for Ontologies in Information Fusion

Kokar

Matheus²,

Bacławski³

et al. 2006

Self Cite

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-Ontologies are becoming increasingly popular due to recent efforts to extend the capabilities of the World Wide Web through the addition of formal semantics. While ontologies have traditionally been used as precise languages to facilitate efficient exchange of information among people, the "Semantic Web" is extending this role to software agents. For this to be possible, ontologies must be formalized in languages processable by computers, such as OWL, the W3C's Web Ontology Language. The purpose of OWL ontologies is to permit software agents to understand web content and to interact intelligently with Web services (which may themselves be software agents). The use of such ontologies, however, need not be constrained to the Web. Recently, ontologies have found their way into higher-level information fusion where they are providing a means for describing and reasoning about sensor data, objects, relations and general domain theories. To the best of our knowledge, there is as of yet no documented effort to capture the main uses of ontologies in information fusion. In this paper we start filling this void by presenting a number of "use cases," i.e., scenarios of the use of ontologies in the context of higher-level information fusion. In this paper we develop use cases in which ontologies are used both for the fusion process itself and for the development of fusion systems. The use cases cover scenarios in which the agent roles are played by people, software or both.

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“…It is widely adopted in industry, and several CASE tools are already available to facilitate software engineers' work. The benefits of using UML for ontology development have been extensively argued in [10], [11], [12] and [13]. Some of these benefits are: (i) UML is a standard language; (ii) UML is a graphical notation based on many years of experience in software analysis and design, which is currently suported by widely-adopted CASE tools that are more accessible to software practitioners than current ontology tools; (iii) agent-based systems will need to interact with legacy enterprise systems, which often have UML models; (iv) knowledge expressed using UML is directly accessible for human comprehension and for machine processing; (v) thanks to the modular nature of objectoriented modelling, the knowledge in a UML model can be changed without affecting other features.…”

Section: Uml For Knowledge Representation and Exchangementioning

confidence: 99%

A Framework for Ontology Reuse and Persistence Integrating UML and Sesame

Pedrinaci¹,

Bernaras²,

Smithers³

et al. 2004

Current Topics in Artificial Intelligence

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Abstract. Nowadays there is a great effort underway to improve the World Wide Web. A better content organisation, allowing automatic processing, leading to the Semantic Web is one of the main goals. In the light of bringing this technology closer to the Software Engineering community we propose an architecture allowing an easier development for ontology-based applications. Thus, we first present a methodology for ontology creation and automatic code generation using the widely adopted CASE UML tools. And based on a study of the art of the different RDF storage and querying systems, we couple this methodology with the Sesame system for providing a framework able to deal with large knowledge bases.

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UML for ontology development

Cited by 122 publications

References 6 publications

Methodologies, tools and languages for building ontologies. Where is their meeting point?

Methodologies, tools and languages for building ontologies. Where is their meeting point?

Use Cases for Ontologies in Information Fusion

A Framework for Ontology Reuse and Persistence Integrating UML and Sesame

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