Ontology Engineering – The DOGMA Approach

Jarrar, Mustafa; Meersman, Robert

doi:10.1007/978-3-540-89784-2_2

Cited by 67 publications

(38 citation statements)

References 28 publications

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“…The philoso phy behind DOGMA is the reuse of ontologies, due to they are con sidered as scalable and shared resources that let to reuse the knowledge (Jarrar & Meersman, 2009). The reuse of the ontologies is due to the methodology proposes the definition of diverse levels of abstraction, starting from an upper level with very general con cepts, that can let these models to be reused in diverse domains.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards an ontology modeling tool. A validation in software engineering scenarios

García-Peñalvo¹,

Colomo‐Palacios²,

García³

et al. 2012

Expert Systems with Applications

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Section: Literature Reviewmentioning

confidence: 99%

Towards an ontology modeling tool. A validation in software engineering scenarios

García-Peñalvo¹,

Colomo‐Palacios²,

García³

et al. 2012

Expert Systems with Applications

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“…Jarrar and Meersman [11] use "lexons" in their ORM-as-ontology-language where "[a] lexon is a binary relationship between context-specific linguistic terms, or in other words, a lexical rendering of a binary conceptual relation. ", denoted with < γ : T 1 , r, r ′ , T 2 >, and have it that "r and r ′ are lexicalizations of the pair roles of a binary conceptual relationship R; the role r ′ is the inverse of the role r".…”

Section: Fom's Basic Elementsmentioning

confidence: 99%

“…The first order logic axiomatization, however, does not comprise relationships at all, but only roles, and equivalence of the two participating roles is asserted in a way such that the roles are treated as binary relations ("∀x.y r(x, y) ↔ r ′ (y, x)"). This duality of roles being treated as relationships at the same time does not aid disambiguation of what the ontological nature of relations and argument places are, although the overall direction in [11] is based on the standard view.…”

Section: Fom's Basic Elementsmentioning

confidence: 99%

Positionalism of Relations and Its Consequences for Fact-Oriented Modelling

Keet

2009

Lecture Notes in Computer Science

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Abstract. Natural language-based conceptual modelling as well as the use of diagrams have been essential components of fact-oriented modelling from its inception. However, transforming natural language to its corresponding object-role modelling diagram, and vv., is not trivial. This is due to the more fundamental problem of the different underlying ontological commitments concerning positionalism of the fact types. The natural language-based approach adheres to the standard view whereas the diagram-based approach has a positionalist commitment, which is, from an ontological perspective, incompatible with the former. This hinders seamless transition between the two approaches and affects interoperability with other conceptual modelling languages. One can adopt either the limited standard view or the positionalist commitment with fact types that may not be easily verbalisable but which facilitates data integration and reusability of conceptual models with ontological foundations.

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“…Thus the way they are intended to be used determines how they are formed. Application orientation is also emphasized in the Developing Ontology-Grounded Methods and Applications (DOGMA) approach [5], where the ontology structure is designed as "double articulation" -a domain specific articulation and an application specific articulation. The practical requirement of the ontology application environment also drives the engineering ontology discussed to stretch the traditional ontology boundaries in terms of representation and weight specification.…”

Section: Introductionmentioning

confidence: 99%

A fast and economic ontology engineering approach towards improving capability matching: Application to an online engineering collaborative platform

Xiao¹,

Bal²,

Issa³

2014

Computers in Industry

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Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work of researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-forprofit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.Publisher's statement: NOTICE: this is the author's version of a work that was accepted for publication in Computers in Industry. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published http://dx.doi.org/10.1016/j.compind.2014.05.004 A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP url' above for details on accessing the published version and note that access may require a subscription. AbstractFulfilling needs through internal and external resources is a key business requirement. To better enable this, description of both needs and resources, using a common domain language is required. Using techniques from Social Network Analysis (SNA) this paper describes a SENSUS-based methodology which generates domain ontology that can provide the breadth and depth of coverage required for automated need and resource matching systems. The mechanism described also enriches the semantic relationships in the generated ontology to form a network structure. This enables concept investigation to be undertaken from multiple perspectives, with fuzzy matching and enhanced reasoning through directional weight-specified relationships. The methodology was used to derive an ontology for engineering and tested against a traditionally derived and structured ontology. The methodology has the flexibility and utility to be of benefit in a wide range need and resource matching business applications.

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Ontology Engineering – The DOGMA Approach

Cited by 67 publications

References 28 publications

Towards an ontology modeling tool. A validation in software engineering scenarios

Towards an ontology modeling tool. A validation in software engineering scenarios

Positionalism of Relations and Its Consequences for Fact-Oriented Modelling

A fast and economic ontology engineering approach towards improving capability matching: Application to an online engineering collaborative platform

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