An integrating text retrieval framework for Digital Ecosystems Paradigm

Zhu, Dengya; Dreher, Heinz

doi:10.1109/DEST.2007.372000

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Access Status

Open access

Authors

Zhu, Dengya

Dreher, Heinz

Date

2007

Type

Conference Paper

Metadata

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Citation

Zhu, Dengya and Dreher, Heinz. 2007. : An integrating text retrieval framework for Digital Ecosystems Paradigm, in Chang, Elizabeth and Hussain, Farookh Khadeer (ed), Digital EcoSystems and Technologies Conference, 2007. DEST '07. Inaugural IEEE-IES, 21 Feb 2007, pp. 367-372. Cairns, Australia: IEEE.

Source Title

Digital EcoSystems and Technologies Conference, 2007. DEST '07. Inaugural IEEE-IES

Source Conference

Digital EcoSystems and Technologies Conference, 2007. DEST '07. Inaugural IEEE-IES

DOI

10.1109/DEST.2007.372000

Faculty

Curtin Business School

School of Information Systems

Remarks

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/43559

Collection

Curtin Research Publications

Abstract

The purpose of the research is to provide effective information retrieval services for digital ?organisms? in a digital ecosystem by leveraging the power of Web searching technology. A novel integrating digital ecosystem search framework (a new digital organism) is proposed which employs the Web search technology and traditional database searching techniques to provide economic organisms with comprehensive, dynamic, and organization-oriented information retrieval ranging from the Internet to personal (semantic) desktop.