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Mapping ORM into the SHOIN/OWL description logic - towards a methodological and expressive graphical notation for ontology engineering

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Title: Mapping ORM into the SHOIN/OWL description logic - towards a methodological and expressive graphical notation for ontology engineering
Authors: Jarrar, Mustafa
Publication Year: 2007
Collection: FADA - Birzeit University Open Access Repository
Subject Terms: Object Role Modeling, Ontologies (Information retrieval), Graphic methods, Graphic methods - Computer programs, Semantic computing, Description logics
Description: We map ORM into the SHOIN /OWL, which is the most common description logic in ontology engineering. As SHOIN /OWL is known to be a good compromise between expressiveness and computational complexity, this implies that the ORM constraints mapped in this paper are the constraints that are easier to implement and reason about. Our mappings are implemented as an extension to the DogmaModeler tool, which uses Racer as a background reasoning engine. Furthermore, the expressive, methodological, and graphical capabilities of ORM make it a good candidate for use as a graphical notation for ontology languages. In this way, industrial experts who are not IT savvy will still be able to build and view ontologies without needing to know the logic or reasoning foundations underpinning them
Document Type: article in journal/newspaper
Language: English
Relation: http://hdl.handle.net/20.500.11889/4189
Availability: https://hdl.handle.net/20.500.11889/4189
Accession Number: edsbas.3CC15D6
Database: BASE
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  Data: Mapping ORM into the SHOIN/OWL description logic - towards a methodological and expressive graphical notation for ontology engineering
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  Data: <searchLink fieldCode="AR" term="%22Jarrar%2C+Mustafa%22">Jarrar, Mustafa</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Object+Role+Modeling%22">Object Role Modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Ontologies+%28Information+retrieval%29%22">Ontologies (Information retrieval)</searchLink><br /><searchLink fieldCode="DE" term="%22Graphic+methods%22">Graphic methods</searchLink><br /><searchLink fieldCode="DE" term="%22Graphic+methods+-+Computer+programs%22">Graphic methods - Computer programs</searchLink><br /><searchLink fieldCode="DE" term="%22Semantic+computing%22">Semantic computing</searchLink><br /><searchLink fieldCode="DE" term="%22Description+logics%22">Description logics</searchLink>
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  Data: We map ORM into the SHOIN /OWL, which is the most common description logic in ontology engineering. As SHOIN /OWL is known to be a good compromise between expressiveness and computational complexity, this implies that the ORM constraints mapped in this paper are the constraints that are easier to implement and reason about. Our mappings are implemented as an extension to the DogmaModeler tool, which uses Racer as a background reasoning engine. Furthermore, the expressive, methodological, and graphical capabilities of ORM make it a good candidate for use as a graphical notation for ontology languages. In this way, industrial experts who are not IT savvy will still be able to build and view ontologies without needing to know the logic or reasoning foundations underpinning them
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      – TitleFull: Mapping ORM into the SHOIN/OWL description logic - towards a methodological and expressive graphical notation for ontology engineering
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