Attributed and n-ary relations in OWL for knowledge modeling. (December 2018)
- Record Type:
- Journal Article
- Title:
- Attributed and n-ary relations in OWL for knowledge modeling. (December 2018)
- Main Title:
- Attributed and n-ary relations in OWL for knowledge modeling
- Authors:
- Chebba, Asmaa
Bouabana-Tebibel, Thouraya
Rubin, Stuart H. - Abstract:
- Highlights: The representation of attributed and n-ary relations is proposed on the ontology description language, OWL. Reification is impractical and heavy for the aim of knowledge reuse and randomization. The proposed modeling approach avoids the need for reification to model the attributed and n-ary relations using OWL. The extension of OWL relies on the expansion of the syntactic, semantic and reasoning aspects of the basic language. Abstract: Knowledge modeling is the basis for the whole process of conceptual design. We aim, in this paper, at representing knowledge through an efficient model that enables efficient reuse. The knowledge model must be both expressive, so as not to omit any pertinent knowledge, and computable to allow for reasoning and learning. The ontology model, along with its well-known description language OWL (Web Ontology Language), is commonly used for this purpose. However, despite the strong expressiveness of OWL, this ontology language still shows limitations with regard to some modeling needs. We aim at promoting the representation of such aspects. We especially deal with the lack of an adequate representation for attributed relations and n-ary relations. The attributed relation, which is a relation that possesses its own attributes, is introduced into OWL, while preserving the basic semantics. The n-ary relation is also added to OWL by introducing a supplementary representational layer that is defined with a sound semantics, inspired from theHighlights: The representation of attributed and n-ary relations is proposed on the ontology description language, OWL. Reification is impractical and heavy for the aim of knowledge reuse and randomization. The proposed modeling approach avoids the need for reification to model the attributed and n-ary relations using OWL. The extension of OWL relies on the expansion of the syntactic, semantic and reasoning aspects of the basic language. Abstract: Knowledge modeling is the basis for the whole process of conceptual design. We aim, in this paper, at representing knowledge through an efficient model that enables efficient reuse. The knowledge model must be both expressive, so as not to omit any pertinent knowledge, and computable to allow for reasoning and learning. The ontology model, along with its well-known description language OWL (Web Ontology Language), is commonly used for this purpose. However, despite the strong expressiveness of OWL, this ontology language still shows limitations with regard to some modeling needs. We aim at promoting the representation of such aspects. We especially deal with the lack of an adequate representation for attributed relations and n-ary relations. The attributed relation, which is a relation that possesses its own attributes, is introduced into OWL, while preserving the basic semantics. The n-ary relation is also added to OWL by introducing a supplementary representational layer that is defined with a sound semantics, inspired from the DLR logic. … (more)
- Is Part Of:
- Computer languages, systems & structures. Volume 54(2018)
- Journal:
- Computer languages, systems & structures
- Issue:
- Volume 54(2018)
- Issue Display:
- Volume 54, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 54
- Issue:
- 2018
- Issue Sort Value:
- 2018-0054-2018-0000
- Page Start:
- 183
- Page End:
- 198
- Publication Date:
- 2018-12
- Subjects:
- Knowledge modeling -- Attributed relation -- N-ary relation -- Ontology -- OWL -- Protégé -- Randomization -- Reuse
Programming languages (Electronic computers) -- Periodicals
Computer networks -- Periodicals
Computer architecture -- Periodicals
Computer systems -- Periodicals
Langage de programmation
Réseau d'ordinateurs
Architecture d'ordinateur
Périodique électronique (Descripteur de forme)
Ressource Internet (Descripteur de forme)
005.13 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14778424/40 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cl.2018.06.001 ↗
- Languages:
- English
- ISSNs:
- 1477-8424
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.071000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8831.xml