Presentation 2000/5/2
Multidimensional Information Arrangement : A Hybrid Approach of Tree and Keyword based Classifications
Tetsuro Kakeshita, Shigehiro Kitamura, Toshiyuki Haramaki,
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Abstract(in English) Classification and arrangement of digital information (entity) are essential to encourage entity sharing. We propose multidimensional arrangement for this purpose. Corresponding to an independent concept, a balanced tree is organized. Entities are classified using multiple trees. Overview of the stored entities becomes possible and the retrieval cost is reduced as well as the management cost. The retrieval flexibility also becomes high since number of search paths are available to the same set of entities. We develop a cost model for the proposed method and perform evaluation through experiment.
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Keyword(in English) Database / Information Arrangement / is-a relationship / Balanced tree
Paper # DE2000-7
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Committee DE
Conference Date 2000/5/2(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multidimensional Information Arrangement : A Hybrid Approach of Tree and Keyword based Classifications
Sub Title (in English)
Keyword(1) Database
Keyword(2) Information Arrangement
Keyword(3) is-a relationship
Keyword(4) Balanced tree
1st Author's Name Tetsuro Kakeshita
1st Author's Affiliation Department of Information Science Saga University()
2nd Author's Name Shigehiro Kitamura
2nd Author's Affiliation Department of Information Science Saga University
3rd Author's Name Toshiyuki Haramaki
3rd Author's Affiliation Department of Information Science Saga University
Date 2000/5/2
Paper # DE2000-7
Volume (vol) vol.100
Number (no) 31
Page pp.pp.-
#Pages 8
Date of Issue