BARTOŇ, Stanislav and Pavel ZEZULA. Indexing Structure for Graph-Structured Data. In Studies in Computational Intelligence, Volume 165, Mining Complex Data. 1st ed. Berlin: Springer Berlin / Heidelberg, 2009, p. 167-188. ISBN 978-3-540-88066-0. Available from: https://dx.doi.org/10.1007/978-3-540-88067-7_10.
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Basic information
Original name Indexing Structure for Graph-Structured Data
Name in Czech Indexing Structure for Graph-Structured Data
Authors BARTOŇ, Stanislav (203 Czech Republic, guarantor, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution).
Edition 1. vyd. Berlin, Studies in Computational Intelligence, Volume 165, Mining Complex Data, p. 167-188, 22 pp. 2009.
Publisher Springer Berlin / Heidelberg
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher France
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14330/09:00065769
Organization unit Faculty of Informatics
ISBN 978-3-540-88066-0
ISSN 1860-949X
Doi http://dx.doi.org/10.1007/978-3-540-88067-7_10
Keywords in English graph structured data; rho-index; citation analysis
Tags citation analysis, graph structured data, rho-index
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/4/2014 11:33.
Abstract
An own design of an indexing structure for general graph structured data called Rho-index that allows an effective processing of special path queries is presented. These special queries represent for example a search for all paths lying between two arbitrary vertices limited to a certain path length. The Rho-index is a multilevel balanced tree structure where each node is created with a certain graph transformation and described by modified adjacency matrix. Hence, Rho-index indexes all the paths to a predefined length l inclusive. The search algorithm is then able to find all the paths shorter than or having the length l and some of the paths longer then the predefined l lying between any two vertices in the indexed graph. The designed search algorithm exploits a special graph structure, a transcription graph, to compute the result using the Rho-index. We also present an experimental evaluation of the process of creating the Rho-index on graphs with different sizes and also a complexity evaluation of the search algorithm that uses the Rho-index.
Abstract (in Czech)
An own design of an indexing structure for general graph structured data called Rho-index that allows an effective processing of special path queries is presented. These special queries represent for example a search for all paths lying between two arbitrary vertices limited to a certain path length. The Rho-index is a multilevel balanced tree structure where each node is created with a certain graph transformation and described by modified adjacency matrix. Hence, Rho-index indexes all the paths to a predefined length l inclusive. The search algorithm is then able to find all the paths shorter than or having the length l and some of the paths longer then the predefined l lying between any two vertices in the indexed graph. The designed search algorithm exploits a special graph structure, a transcription graph, to compute the result using the Rho-index. We also present an experimental evaluation of the process of creating the Rho-index on graphs with different sizes and also a complexity evaluation of the search algorithm that uses the Rho-index.
Links
GP201/07/P240, research and development projectName: Distribuované indexační struktury pro podobnostní hledání
Investor: Czech Science Foundation, Distributed Index Structures for Similarity Searching
1ET100300419, research and development projectName: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu
Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
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