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

Mustafa Jarrar

doi:10.1007/978-3-540-76888-3_95

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

Mustafa Jarrar^*

^*Corresponding author for this work

University of Cyprus

Research output: Contribution to journal › Conference article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	729-741
Number of pages	13
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4805 LNCS
Issue number	PART 1
DOIs	https://doi.org/10.1007/978-3-540-76888-3_95
Publication status	Published - 2007
Externally published	Yes
Event	OTM Confederated International Workshops and Posters AWeSOMe, CAMS, OTM Academy Doctoral Consortium, MONET, OnToContent, ORM, PerSys, PPN, RDDS, SSWS, and SWWS 2007 - Vilamoura, Portugal Duration: 25 Nov 2007 → 30 Nov 2007

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10.1007/978-3-540-76888-3_95

Cite this

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title = "Mapping ORM into the SHOIN/OWL description logic towards a methodological and expressive graphical notation for ontology engineering",

abstract = "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.",

author = "Mustafa Jarrar",

year = "2007",

doi = "10.1007/978-3-540-76888-3\_95",

language = "English",

volume = "4805 LNCS",

pages = "729--741",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "PART 1",

note = "OTM Confederated International Workshops and Posters AWeSOMe, CAMS, OTM Academy Doctoral Consortium, MONET, OnToContent, ORM, PerSys, PPN, RDDS, SSWS, and SWWS 2007 ; Conference date: 25-11-2007 Through 30-11-2007",

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Jarrar, M 2007, 'Mapping ORM into the SHOIN/OWL description logic towards a methodological and expressive graphical notation for ontology engineering', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4805 LNCS, no. PART 1, pp. 729-741. https://doi.org/10.1007/978-3-540-76888-3_95

Mapping ORM into the SHOIN/OWL description logic towards a methodological and expressive graphical notation for ontology engineering. / Jarrar, Mustafa.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4805 LNCS, No. PART 1, 2007, p. 729-741.

Research output: Contribution to journal › Conference article › peer-review

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AB - 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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VL - 4805 LNCS

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

IS - PART 1

T2 - OTM Confederated International Workshops and Posters AWeSOMe, CAMS, OTM Academy Doctoral Consortium, MONET, OnToContent, ORM, PerSys, PPN, RDDS, SSWS, and SWWS 2007

Y2 - 25 November 2007 through 30 November 2007

ER -

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

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