Presentation | 1997/7/16 Retrieval for Graph Structured Data based on Cut Partitioning Yoshiaki Mizuuchi, Keishi Tajima, Katsumi Tanaka, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a method to construct a database of graph structured data. We divide a graph into several cuts, which are connected subgraphs consisting of correlated nodes, and we use a cut as a unit of query instead of each node. For example, in a database of Netnews articles, we usually want to query not a specific article but some topic. In such a case, it is appropriate to use cuts consisting of consecutive articles discussing the same topic as a data unit. Similarly, when querying WWW pages, it is more effective to regard a set of correlated pages as a data unit. In this paper, we explain how to apply the concept of cuts to the query for those graph structured data. |
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Paper # | DE97-52 |
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Committee | DE |
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Conference Date | 1997/7/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Retrieval for Graph Structured Data based on Cut Partitioning |
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1st Author's Name | Yoshiaki Mizuuchi |
1st Author's Affiliation | Division of Computer and Systems Engineering, Graduate School of Science and Technology, Kobe University() |
2nd Author's Name | Keishi Tajima |
2nd Author's Affiliation | Dept. of Computer and Systems Engineering, Faculty of Engineering, Kobe University |
3rd Author's Name | Katsumi Tanaka |
3rd Author's Affiliation | Division of Media and Computer Sciences, Graduate School of Science and Technology, Kobe University |
Date | 1997/7/16 |
Paper # | DE97-52 |
Volume (vol) | vol.97 |
Number (no) | 162 |
Page | pp.pp.- |
#Pages | 6 |
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