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RFSgIndex: Frequent Subgraph Index for Subgraph Matching in RDF Data
https://meral.edu.mm/records/6636
https://meral.edu.mm/records/66362c71afcc-c34c-4a8b-94b1-81d375c69d38
2712ffdc-2b68-4e99-80c9-dec9cf1a01b2
Name / File | License | Actions |
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RFSgIndex- Frequent Subgraph Index for Subgraph Matching in RDF Data.pdf (626 Kb)
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | RFSgIndex: Frequent Subgraph Index for Subgraph Matching in RDF Data | |||||
Language | en | |||||
Publication date | 2017-11-02 | |||||
Authors | ||||||
Khin Myat Kyu | ||||||
Kay Thi Yar | ||||||
Kyawt Kyawt San | ||||||
Description | ||||||
Graphs are used to represent the relationships between objects in various domains such as bioinformatics, social networks, and Web exploration. With the rapid increase of RDF data, efficient graph data management technique is needed to store and retrieve these data. Indexing is an effective technique to reduce data searching space and retrieve them as fast as possible. In this paper, RDF frequent subgraph based approach (RFSgIndex) is proposed to find all the matches of a query graph (a SPARQL query) in a given single large graph (RDF data graph). Firstly, frequent sugraphs are extracted from the RDF data graph using Frequent Subgraph Mining algorithm. Given the query graph, the system finds all the possible occurrences of the query graph by using RFSgIndex. The proposed approach will reduce data searching space and speed up the query response time. |
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Keywords | ||||||
RDF data, SPARQL query, graph indexing, frequent subgraph mining, subgraph isomorphism | ||||||
Conference papers | ||||||
ICAIT-2017 | ||||||
1-2 November, 2017 | ||||||
1st International Conference on Advanced Information Technologies | ||||||
Yangon, Myanmar | ||||||
Workshop Session | ||||||
https://www.uit.edu.mm/icait-2017/ |