Your SlideShare is downloading. ×

Towards a Methodology for the Engineering of Fuzzy Ontologies

967

Published on

Towards a Methodology for the Engineering of Fuzzy Ontologies …

Towards a Methodology for the Engineering of Fuzzy Ontologies

@ ESWC 2010

Crete, Grece

30/05 -03/06 2010

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
967
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Panos Alexopoulos1,3, Manolis Wallace2 , Konstantinos Kafentzis1 and Dimitris Askounis3 1 IMC Technologies S.A., Athens, Greece 2 Department of Computer Science and Technology, University of Peloponnese, Tripolis, Greece 3 School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece Contact: palexopoulos@imc.com.gr http://www.imc.com.gr The situation: The problem: Our proposal: Fuzzy Ontology Languages Fuzzy Ontologies attempt to tackle the IKARUS-Onto Conceptual Model problem of expressing vague Generic and language-independent fuzzy All provide fuzzy ontology elements but knowledge by borrowing concepts and conceptual model. none of them gives guidelines on how techniques from Fuzzy Set Theory. Defines the different components a fuzzy to identify and define such elements in ontology may consist of. an application scenario. The key question however is: How IKARUS-Onto Methodology Ontology Engineering Methodologies we build such an ontology? Defines the necessary steps for specifying, They do not define required tasks for conceptualizing and formalizing a fuzzy dealing with fuzzy ontologies. ontology through the use of the IKARUS-Onto model. Fuzzy Ontology IKARUS-Onto Conceptual Model IKARUS-Onto Methodology Fuzzy Concepts Fuzzy Specification A Fuzzy Concept is a concept which may, in a given domain, Specification of the ontology's non fuzzy part. context or application scenario, be interpreted as vague, that is if there are (or could be) entities for which it is indeterminate whether Assessment and scoping of the need for fuzziness. they instantiate C. Identification of imprecise knowledge sources. A Fuzzy Instance Statement relates a specific instance to a fuzzy concept through some fuzzy degree. The fuzzy degree practically Fuzzy Conceptualization approximates the extent at which the instance falls within the concept’s application boundaries. Conceptualization of the crisp part of the ontology Fuzzy Relations Definition of fuzzy relations A Fuzzy Relation is a relation that can be established Definition of fuzzy concepts between two or more concept instances and whose meaning may, in a given domain, context or application Creation of fuzzy relation statements scenario, be interpreted as vague, that is if there are or could be entity pairs for which it is indeterminate whether Creation of fuzzy instance statements they stand in the relation. Fuzzy Formalization A Fuzzy Relation Statement comprises two related Selection of a formal fuzzy ontology language. concept instances accompanied by a fuzzy degree. The fuzzy degree practically approximates the extent at which Representation of each fuzzy component according the statement falls within the relation’s application to the language syntax. boundaries.

×