Fuzzy OWL: Uncertainty and the Semantic Web

Giorgos Stoilos; Giorgos Stamou; Vassilis Tzouvaras; Jeff Z Pan; Ian Horrocks

Fuzzy OWL: Uncertainty and the Semantic Web

Giorgos Stoilos, Giorgos Stamou, Vassilis Tzouvaras, Jeff Z Pan, Ian Horrocks

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

Abstract

In the Semantic Web context information would be retrieved, processed, shared, reused and aligned in the maximum automatic way possible. Our experience with such applications in the Semantic Web has shown that these are rarely a matter of true or false but rather procedures that require degrees of relatedness, similarity, or ranking. Apart from the wealth of applications that are inherently imprecise, information itself is many times imprecise or vague. For example, the concepts of a “hot” place, an “expensive” item, a “fast” car, a “near” city, are examples of such concepts. Dealing with such type of information would yield more realistic, intelligent and effective applications. In the current paper we extend the OWL web ontology language, with fuzzy set theory, in order to be able to capture, represent and reason with such type of information.

Original language	English
Title of host publication	Proceedings of the OWLED*05 Workshop on OWL: Experiences and Directions
Editors	Bernardo Cuenca Grau, Ian Horrocks, Bijan Parsia, Peter Patel-Schneider
Publisher	CEUR-WS.org
Number of pages	10
Publication status	Published - 1 Jun 2006
Event	OWLED 05 Workshop on OWL: Experiences and Directions - Galway, Ireland Duration: 11 Nov 2005 → 12 Nov 2005 Conference number: 1 http://webont.org/owled/2005/

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS.org
Volume	188
ISSN (Electronic)	1613-0073

Workshop

Workshop	OWLED 05 Workshop on OWL: Experiences and Directions
Abbreviated title	OWLED 2005
Country/Territory	Ireland
City	Galway
Period	11/11/05 → 12/11/05
Internet address	http://webont.org/owled/2005/

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http://ceur-ws.org/Vol-188/sub16.pdfLicence: All Rights Reserved

Cite this

@inproceedings{d8b9391fda264c0599f91920afa6869b,

title = "Fuzzy OWL: Uncertainty and the Semantic Web",

abstract = "In the Semantic Web context information would be retrieved, processed, shared, reused and aligned in the maximum automatic way possible. Our experience with such applications in the Semantic Web has shown that these are rarely a matter of true or false but rather procedures that require degrees of relatedness, similarity, or ranking. Apart from the wealth of applications that are inherently imprecise, information itself is many times imprecise or vague. For example, the concepts of a “hot” place, an “expensive” item, a “fast” car, a “near” city, are examples of such concepts. Dealing with such type of information would yield more realistic, intelligent and effective applications. In the current paper we extend the OWL web ontology language, with fuzzy set theory, in order to be able to capture, represent and reason with such type of information.",

author = "Giorgos Stoilos and Giorgos Stamou and Vassilis Tzouvaras and Pan, \{Jeff Z\} and Ian Horrocks",

year = "2006",

month = jun,

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language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS.org",

editor = "\{Cuenca Grau\}, Bernardo and Ian Horrocks and Bijan Parsia and Peter Patel-Schneider",

booktitle = "Proceedings of the OWLED*05 Workshop on OWL: Experiences and Directions",

note = "OWLED 05 Workshop on OWL: Experiences and Directions, OWLED 2005 ; Conference date: 11-11-2005 Through 12-11-2005",

url = "http://webont.org/owled/2005/",

}

Stoilos, G, Stamou, G, Tzouvaras, V, Pan, JZ & Horrocks, I 2006, Fuzzy OWL: Uncertainty and the Semantic Web. in B Cuenca Grau, I Horrocks, B Parsia & P Patel-Schneider (eds), Proceedings of the OWLED*05 Workshop on OWL: Experiences and Directions. CEUR Workshop Proceedings, vol. 188, CEUR-WS.org, OWLED 05 Workshop on OWL: Experiences and Directions, Galway, Ireland, 11/11/05. <http://ceur-ws.org/Vol-188/sub16.pdf>

Fuzzy OWL: Uncertainty and the Semantic Web. / Stoilos, Giorgos; Stamou, Giorgos; Tzouvaras, Vassilis et al.
Proceedings of the OWLED*05 Workshop on OWL: Experiences and Directions. ed. / Bernardo Cuenca Grau; Ian Horrocks; Bijan Parsia; Peter Patel-Schneider. CEUR-WS.org, 2006. (CEUR Workshop Proceedings; Vol. 188).

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

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AB - In the Semantic Web context information would be retrieved, processed, shared, reused and aligned in the maximum automatic way possible. Our experience with such applications in the Semantic Web has shown that these are rarely a matter of true or false but rather procedures that require degrees of relatedness, similarity, or ranking. Apart from the wealth of applications that are inherently imprecise, information itself is many times imprecise or vague. For example, the concepts of a “hot” place, an “expensive” item, a “fast” car, a “near” city, are examples of such concepts. Dealing with such type of information would yield more realistic, intelligent and effective applications. In the current paper we extend the OWL web ontology language, with fuzzy set theory, in order to be able to capture, represent and reason with such type of information.

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Fuzzy OWL: Uncertainty and the Semantic Web

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