Automated Ontology Generation using Spatial Reasoning

Abstract

Recently there has been much interest in using ontologies to facilitate knowledge representation, integration, and reasoning. Correspondingly, the extent of the information embodied by an ontology is increasing beyond the conventional is a and part of relationships. to address these requirements, a vast amount of digitally available information may need to be considered when building ontologies, prompting a desire for software tools to automate at least part of the process. the main efforts in this direction have involved textual information retrieval and extraction methods. for some domains extension of the basic relationships could be enhanced further by the analysis of 2D and/or 3D images. for this type of media, image processing algorithms are more appropriate than textual analysis methods. Herein we present an algorithm that, given a collection of 3D image files, utilizes Qualitative Spatial Reasoning (QSR) to automate the creation of an ontology for the objects represented by the images, relating the objects in terms of is a and part of relationships and also through unambiguous Relational Connection Calculus (RCC) relations. © 2010 Springer-Verlag Berlin Heidelberg.

Department(s)

Computer Science

Keywords and Phrases

Automated ontology construction; Knowledge representation; Knowledge-based system; Qualitative spatial reasoning; Relational connection calculus

International Standard Book Number (ISBN)

978-364215279-5

International Standard Serial Number (ISSN)

1611-3349; 0302-9743

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Springer, All rights reserved.

Publication Date

08 Nov 2010

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