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Archiving RDF data in relational databases

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Chu, D (2012) Archiving RDF data in relational databases. Unspecified thesis, University of Tasmania.

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Abstract

RDF has become the de-facto standard for the representation and exchange of
information. It is not only used for representing the context of Linked Open
Data and semantic-Web, but also used as to publish structured data in science
and business. It is also the driving force behind the increasing research interest
in RDF data management. RDF is the data format for publishing liked data,
and links between databases are based on database state. Failure to maintain
the history of a database may lead to loss of evidence for links. In addition,
regarding storage and querying, it is not reasonable to simply keep all the
database versions. Therefore, this paper will develop specialized archiving
technologies.
This paper have compared existing archiving techniques and the approaches
of store RDF in relational databases, and based on one of existing approach,
the paper developed two solution of archiving RDF data in relational
databases. Also, in order to track the history of changes to the data, the paper
proposes the strategies to extend existing methods for storing RDF in
relational databases. For each of strategy, the paper present the efficient way
for updating and archiving RDF data. Based on the strategies, the paper
develops approaches about how to query these data. At last, there are
evaluations of the proposed methods via different experiments.

Item Type: Thesis (Unspecified)
Copyright Information:

Copyright 2011 the author

Date Deposited: 25 Nov 2014 00:59
Last Modified: 24 Oct 2016 01:54
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