Effective Semantic Search over Huge RDF Data

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Paper Details

Paper Title

Effective Semantic Search over Huge RDF Data

Authors

Dinesh A. Zende, Chavan Ganesh Baban

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Abstract

Keyword search is a basic way of searching data on the web. It offers a straightforward and flexible way for retrieving relevant information. It is studied in a context of relational databases, XML schema, graph and RDF data. Previous techniques based on constructing distance matrix or building summaries from RDF graph to process the query, but not seems to be realistic and can't handle large RDF data. It leads to the incomplete or incorrect result. This work proposed an effective summarization algorithm to summaries RDF data. Summaries were built and incrementally updated to support content update and gave significant pruning power.

Keywords- Keyword search, RDF graph, RDF data, scalability.

Publication Details

Unique Identification Number - IJEDR1603020
Page Number(s) - 113-119
Pubished in - Volume 4 | Issue 3 | July 2016
DOI (Digital Object Identifier) -
Publisher - IJEDR (ISSN - 2321-9939)

Cite this Article

Dinesh A. Zende, Chavan Ganesh Baban, "Effective Semantic Search over Huge RDF Data", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.113-119, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1603020.pdf

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