Implementing Simple Modular ERDF ontologies

Carlos Viegas Damásio; Anastasia Analyti; Grigoris Antoniou

doi:10.3233/978-1-60750-606-5-1083

Implementing Simple Modular ERDF ontologies

Carlos Viegas Damásio, Anastasia Analyti, Grigoris Antoniou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The Extended Resource Description Framework has been proposed to equip RDF graphs with weak and strong negation, as well as derivation rules, increasing the expressiveness of ordinary RDF graphs. In parallel, the Modular Web framework enables collaborative and controlled reasoning in the Semantic Web. In this paper we show how to use the Modular Web Framework to capture the modular semantics for ERDF graphs, supporting local semantics and different points of view, local closed-world and open-world assumptions, and scoped negation-as-failure.

Original language	English
Title of host publication	ECAI 2010
Subtitle of host publication	19th European Conference on Artificial Intelligence Proceedings
Editors	Helder Coelho, Rudi Studer, Michael Wooldridge
Publisher	IOS Press
Pages	1083-1084
Number of pages	2
Volume	215
ISBN (Electronic)	9781607506065
ISBN (Print)	9781607506058
DOIs	https://doi.org/10.3233/978-1-60750-606-5-1083
Publication status	Published - 15 Aug 2010
Externally published	Yes
Event	2nd Workshop on Knowledge Representation for Health Care, held in conjunction with the 19th European Conference in Artificial Intelligence - Lisbon, Portugal Duration: 17 Aug 2010 → 17 Aug 2010 Conference number: 2 & 19

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Publisher	IOS Press
Volume	215
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	2nd Workshop on Knowledge Representation for Health Care, held in conjunction with the 19th European Conference in Artificial Intelligence
Abbreviated title	KR4HC 2010, ECAI 2010
Country/Territory	Portugal
City	Lisbon
Period	17/08/10 → 17/08/10

Access to Document

10.3233/978-1-60750-606-5-1083Licence: CC BY-NC

Cite this

Damásio, C. V., Analyti, A., & Antoniou, G. (2010). Implementing Simple Modular ERDF ontologies. In H. Coelho, R. Studer, & M. Wooldridge (Eds.), ECAI 2010: 19th European Conference on Artificial Intelligence Proceedings (Vol. 215, pp. 1083-1084). (Frontiers in Artificial Intelligence and Applications; Vol. 215). IOS Press. https://doi.org/10.3233/978-1-60750-606-5-1083

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abstract = "The Extended Resource Description Framework has been proposed to equip RDF graphs with weak and strong negation, as well as derivation rules, increasing the expressiveness of ordinary RDF graphs. In parallel, the Modular Web framework enables collaborative and controlled reasoning in the Semantic Web. In this paper we show how to use the Modular Web Framework to capture the modular semantics for ERDF graphs, supporting local semantics and different points of view, local closed-world and open-world assumptions, and scoped negation-as-failure.",

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Damásio, CV, Analyti, A & Antoniou, G 2010, Implementing Simple Modular ERDF ontologies. in H Coelho, R Studer & M Wooldridge (eds), ECAI 2010: 19th European Conference on Artificial Intelligence Proceedings. vol. 215, Frontiers in Artificial Intelligence and Applications, vol. 215, IOS Press, pp. 1083-1084, 2nd Workshop on Knowledge Representation for Health Care, held in conjunction with the 19th European Conference in Artificial Intelligence, Lisbon, Portugal, 17/08/10. https://doi.org/10.3233/978-1-60750-606-5-1083

Implementing Simple Modular ERDF ontologies. / Damásio, Carlos Viegas; Analyti, Anastasia; Antoniou, Grigoris.

ECAI 2010: 19th European Conference on Artificial Intelligence Proceedings. ed. / Helder Coelho; Rudi Studer; Michael Wooldridge. Vol. 215 IOS Press, 2010. p. 1083-1084 (Frontiers in Artificial Intelligence and Applications; Vol. 215).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Damásio, Carlos Viegas

AU - Analyti, Anastasia

AU - Antoniou, Grigoris

N1 - Conference code: 2 & 19

PY - 2010/8/15

Y1 - 2010/8/15

N2 - The Extended Resource Description Framework has been proposed to equip RDF graphs with weak and strong negation, as well as derivation rules, increasing the expressiveness of ordinary RDF graphs. In parallel, the Modular Web framework enables collaborative and controlled reasoning in the Semantic Web. In this paper we show how to use the Modular Web Framework to capture the modular semantics for ERDF graphs, supporting local semantics and different points of view, local closed-world and open-world assumptions, and scoped negation-as-failure.

AB - The Extended Resource Description Framework has been proposed to equip RDF graphs with weak and strong negation, as well as derivation rules, increasing the expressiveness of ordinary RDF graphs. In parallel, the Modular Web framework enables collaborative and controlled reasoning in the Semantic Web. In this paper we show how to use the Modular Web Framework to capture the modular semantics for ERDF graphs, supporting local semantics and different points of view, local closed-world and open-world assumptions, and scoped negation-as-failure.

KW - Artificial intelligence

KW - Semantic Web

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UR - http://ebooks.iospress.nl/volume/ecai-2010

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DO - 10.3233/978-1-60750-606-5-1083

M3 - Conference contribution

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EP - 1084

BT - ECAI 2010

A2 - Coelho, Helder

A2 - Studer, Rudi

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T2 - 2nd Workshop on Knowledge Representation for Health Care, held in conjunction with the 19th European Conference in Artificial Intelligence

Y2 - 17 August 2010 through 17 August 2010

ER -

Implementing Simple Modular ERDF ontologies

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