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 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
Conference Date 1997/7/16(1days)
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Registration To Data Engineering (DE)
Language JPN
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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
Date of Issue