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  1. University of Information Technology
  2. Faculty of Information Science

Data Management between Relationalized Data and Semantic Web Data

http://hdl.handle.net/20.500.12678/0000005366
http://hdl.handle.net/20.500.12678/0000005366
71e1fbac-a448-4be5-a2a1-d0051b415e0d
c32e6a2b-f49e-48b5-8ea8-0f2ea66f0a25
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Data Data Management between Relationalized Data and Semantic Web Data.pdf (76 Kb)
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Publication type
Conference paper
Upload type
Publication
Title
Title Data Management between Relationalized Data and Semantic Web Data
Language en
Publication date 2011-05-05
Authors
Kyawt Kyawt San
Khin Nweni Htun
Description
The RDF (Resource Description Framework) model
has attracted the attention of the database community and
many researchers have proposed different solutions to
store and query RDF data efficiently. This paper
proposes a framework for manipulating RDF data store
and proposes a Data mapping algorithm. This paper also
presents an approach to relationalize RDF data with the
querying power of RDBMS and manipulate RDF data
store using SPARQL/UPDATE. Existing approaches
generally lack of focusing on updating RDF data store.
We will show that despite its simple light-weight
architecture, our system is able to outperform
simultaneously in both retrieving relationalized RDF data
and managing RDF data store in accordance with
relationalized data.
Keywords
Relational Database, Web searching
Conference papers
ICCA 2011
5 May, 2011
9th International Conference on Computer Applications
Yangon, Myanmar
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