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  1. University of Information Technology
  2. International Conference on Advanced Information Technologies

RFSgIndex: Frequent Subgraph Index for Subgraph Matching in RDF Data

https://meral.edu.mm/records/6636
https://meral.edu.mm/records/6636
2c71afcc-c34c-4a8b-94b1-81d375c69d38
2712ffdc-2b68-4e99-80c9-dec9cf1a01b2
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RFSgIndex- RFSgIndex- Frequent Subgraph Index for Subgraph Matching in RDF Data.pdf (626 Kb)
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Publication type
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.
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/
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