A Distributed Approach to Sub-Ontology Extraction

Bhatt, M; Flahive, A; Wouters, C; Rahayu, W; Taniar, D; Dillon, TS

A Distributed Approach to Sub-Ontology Extraction

Bhatt, M Flahive, A Wouters, C Rahayu, W Taniar, D Dillon, TS

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings of 18th International Conference on Advanced Information Networking and Applications - Vol 1, 2004, pp. 636 - 641
Issue Date:: 2004-01

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Field	Value	Language
dc.contributor.author	Bhatt, M	en_US
dc.contributor.author	Flahive, A	en_US
dc.contributor.author	Wouters, C	en_US
dc.contributor.author	Rahayu, W	en_US
dc.contributor.author	Taniar, D	en_US
dc.contributor.author	Dillon, TS	en_US
dc.contributor.editor	Barolli, L	en_US
dc.date	2004-03-29	en_US
dc.date.issued	2004-01	en_US
dc.identifier.citation	Proceedings of 18th International Conference on Advanced Information Networking and Applications - Vol 1, 2004, pp. 636 - 641	en_US
dc.identifier.isbn	0-7695-2051-0	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2694
dc.description.abstract	The new era of semantic Web has enabled users to extract semantically relevant data from the Web. The backbone of the semantic Web is a shared uniform structure which defines how Web information is split up regardless of the implementation language or the syntax used to represent the data. This structure is known as an ontology. As information on the Web increases significantly in size, Web ontologies also tend to grow bigger, to such an extent that they become too large to be used in their entirety by any single application. This has stimulated our work in the area of sub-ontology extraction where each user may extract optimized sub-ontologies from an existing base ontology. Sub-ontologies are valid independent ontologies, known as materialized ontologies, that are specifically extracted to meet certain needs. Because of the size of the original ontology, the process of repeatedly iterating the millions of nodes and relationships to form an optimized sub-ontology can be very extensive. Therefore we have identified the need for a distributed approach to the extraction process. As ontologies are currently widely used, our proposed approach for distributed ontology extraction will play an important role in improving the efficiency of information retrieval.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	Proceedings of 18th International Conference on Advanced Information Networking and Applications - Vol 1	en_US
dc.relation.ispartof	International Conference on Advanced Information Networking and Applications (was ICOIN)	en_US
dc.relation.isbasedon	10.1109/AINA.2004.1283981	en_US
dc.rights	© 2004 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	A Distributed Approach to Sub-Ontology Extraction	en_US
dc.type	Conference Proceeding
utslib.location	Fukuoka, Japan	en_US
utslib.location.activity	Fukuoka, Japan	en_US
utslib.for	0805 Distributed Computing	en_US
dc.location.activity	Fukuoka, Japan	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Fukuoka, Japan	en_US
pubs.start-date	2004-03-29	en_US

Abstract:

The new era of semantic Web has enabled users to extract semantically relevant data from the Web. The backbone of the semantic Web is a shared uniform structure which defines how Web information is split up regardless of the implementation language or the syntax used to represent the data. This structure is known as an ontology. As information on the Web increases significantly in size, Web ontologies also tend to grow bigger, to such an extent that they become too large to be used in their entirety by any single application. This has stimulated our work in the area of sub-ontology extraction where each user may extract optimized sub-ontologies from an existing base ontology. Sub-ontologies are valid independent ontologies, known as materialized ontologies, that are specifically extracted to meet certain needs. Because of the size of the original ontology, the process of repeatedly iterating the millions of nodes and relationships to form an optimized sub-ontology can be very extensive. Therefore we have identified the need for a distributed approach to the extraction process. As ontologies are currently widely used, our proposed approach for distributed ontology extraction will play an important role in improving the efficiency of information retrieval.

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http://hdl.handle.net/10453/2694