LinksB2N: Automatic Data Integration for the Semantic Web

(2009) LinksB2N: Automatic Data Integration for the Semantic Web At International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2009)

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The ongoing trend towards open data embraced by the Semantic Web has started to produce a large number of data sources. These data sources are published using RDF vocabularies, and it is possible to navigate throughout the data due to their graph topology. This paper presents LinksB2N, an algorithm for discovering information overlaps in RDF data repositories and performing data integration with no human intervention over data sets that partially share the same domain. LinksB2N identifies equivalent RDF resources from different data sets with several degrees of confidence. The algorithm relies on a novel approach that uses clustering techniques to analyze the distribution of unique objects that contain overlapping information in different data graphs. Our contribution is illustrated in the context of the Market Blended Insight project by applying the LinksB2N algorithm to data sets in the order of hundreds of millions of RDF triples containing relevant information in the domain of business to business (B2B) marketing analysis.

Item Type: Conference or Workshop Item (Paper)
Keywords: Data Integration, Semantic Web.
ePrint ID: 267579
Date Deposited: 17 Jun 2009 09:03
Last Modified: 31 Mar 2016 14:15
Further Information:Google Scholar

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