Dynamic sub-ontology evolution for collaborative problem solving

Yuxin Mao; Kwok Wai CHEUNG; Zhaohui Wu; Jiming LIU

Dynamic sub-ontology evolution for collaborative problem solving

Yuxin Mao^*, Kwok Wai CHEUNG, Zhaohui Wu, Jiming LIU

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

Abstract

Emerging Web technologies have enabled the use of distributed on-line resources to support on-demand cooperative problem solving. Domain ontology is one of the resources typically required by many existing problem-solving systems. In this paper, we argue that to meet the on-demand requirement, on-line problem-solvers should go beyond the use of static domain ontology and be able to self-evolve and specialize in the knowledge they possess (called sub-ontology). Building on top of the Semantic Web technology, we propose an agent-oriented architecture and a sub-ontology evolution mechanism for dynamic self-organization of domain sub-ontologies to result in a truly intelligent and on-demand problem-solving platform in a distributed environment like the Web/Grid.

Original language	English
Title of host publication	AAAI Fall Symposium - Technical Report
Place of Publication	Menlo Park, California
Publisher	AAAI press
Pages	1-8
Number of pages	8
ISBN (Print)	9781577352471
Publication status	Published - 2005
Event	Agents and semantic web: Papers from the 2004 AAAI fall symposium - Arlington, United States Duration: 4 Nov 2005 → 6 Nov 2005

Publication series

Name	AAAI Fall Symposium - Technical Report
Volume	FS-05-01

Conference

Conference	Agents and semantic web: Papers from the 2004 AAAI fall symposium
Period	4/11/05 → 6/11/05

Scopus Subject Areas

Engineering(all)

Cite this

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title = "Dynamic sub-ontology evolution for collaborative problem solving",

abstract = "Emerging Web technologies have enabled the use of distributed on-line resources to support on-demand cooperative problem solving. Domain ontology is one of the resources typically required by many existing problem-solving systems. In this paper, we argue that to meet the on-demand requirement, on-line problem-solvers should go beyond the use of static domain ontology and be able to self-evolve and specialize in the knowledge they possess (called sub-ontology). Building on top of the Semantic Web technology, we propose an agent-oriented architecture and a sub-ontology evolution mechanism for dynamic self-organization of domain sub-ontologies to result in a truly intelligent and on-demand problem-solving platform in a distributed environment like the Web/Grid.",

author = "Yuxin Mao and CHEUNG, {Kwok Wai} and Zhaohui Wu and Jiming LIU",

year = "2005",

language = "English",

isbn = "9781577352471",

series = "AAAI Fall Symposium - Technical Report",

publisher = "AAAI press",

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T1 - Dynamic sub-ontology evolution for collaborative problem solving

AU - Mao, Yuxin

AU - CHEUNG, Kwok Wai

AU - Wu, Zhaohui

AU - LIU, Jiming

PY - 2005

Y1 - 2005

N2 - Emerging Web technologies have enabled the use of distributed on-line resources to support on-demand cooperative problem solving. Domain ontology is one of the resources typically required by many existing problem-solving systems. In this paper, we argue that to meet the on-demand requirement, on-line problem-solvers should go beyond the use of static domain ontology and be able to self-evolve and specialize in the knowledge they possess (called sub-ontology). Building on top of the Semantic Web technology, we propose an agent-oriented architecture and a sub-ontology evolution mechanism for dynamic self-organization of domain sub-ontologies to result in a truly intelligent and on-demand problem-solving platform in a distributed environment like the Web/Grid.

AB - Emerging Web technologies have enabled the use of distributed on-line resources to support on-demand cooperative problem solving. Domain ontology is one of the resources typically required by many existing problem-solving systems. In this paper, we argue that to meet the on-demand requirement, on-line problem-solvers should go beyond the use of static domain ontology and be able to self-evolve and specialize in the knowledge they possess (called sub-ontology). Building on top of the Semantic Web technology, we propose an agent-oriented architecture and a sub-ontology evolution mechanism for dynamic self-organization of domain sub-ontologies to result in a truly intelligent and on-demand problem-solving platform in a distributed environment like the Web/Grid.

UR - http://www.scopus.com/inward/record.url?scp=33646001417&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33646001417

SN - 9781577352471

T3 - AAAI Fall Symposium - Technical Report

SP - 1

EP - 8

BT - AAAI Fall Symposium - Technical Report

PB - AAAI press

CY - Menlo Park, California

T2 - Agents and semantic web: Papers from the 2004 AAAI fall symposium

Y2 - 4 November 2005 through 6 November 2005

ER -

Dynamic sub-ontology evolution for collaborative problem solving

Abstract

Publication series

Conference

Scopus Subject Areas

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