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A gyroidal pyramid searching model in digital ecosystems

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Authors
Zhu, Dengya
Dreher, Heinz
Date
2009
Type
Conference Paper

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Citation
Zhu, Dengya and Dreher, Heinz. 2009. A gyroidal pyramid searching model in digital ecosystems, in Chang, E. and Damiani, E. and Hussain, F.K. (ed), Third IEEE International Conference on Digital Ecosystems and Technologies, June 1 2009, pp. 587-592, Istanbul, Turkey: Institute of Electrical and Electronics Engineers (IEEE) Industrial Electronics Society.
Source Title
Proceedings of Third IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST-2009)
Source Conference
Third IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST-2009)
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Curtin Business School
School of Information Systems
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Copyright © 2009 IEEE. 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.

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Abstract

When ambiguous search terms are submitted to search engines, search results are usually literally but not always semantically relevant to the search terms. Users need to manually pickup relevant results from among thousands of the hit-list items. A gyroidal pyramid information retrieval model is proposed which intends to refine the results by grouping them into a predefined Web ontology, lets users choose which category is of interest, and thus presents the users with refined results. Users are allowed to choose subcategory to further re-fine the results, or choose another interesting category. Pre-liminary experimental results are positive and encouraging.