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Sources with Disparate Contexts (2012)
BibTeX
@MISC{Zheng12sourceswith,
author = {Xiaoqing Zheng and Xitong Li and Stuart Madnick and Xiaoqing Zheng and Stuart E. Madnick and Xitong Li},
title = {Sources with Disparate Contexts},
year = {2012}
}
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Abstract
Many Semantic Web applications require the integration of data from distributed and autonomous RDF data sources. However, the values in the RDF triples would be frequently recorded simply as the literal, and additional contextual information such as unit and format is often omitted, relying on consistent understanding of the context. In the wider context of the Web, it is generally not safe to make this assumption. The Context Interchange strategy provides a systematic approach for mediated data access in which semantic conflicts among heterogeneous data sources are automatically detected and reconciled by a context mediator. In this paper, we show that SPARQL queries that involve multiple RDF graphs originating from different contexts can be mediated in the way using the Context Interchange (COIN) Framework.
Keyphrases
disparate context context mediator multiple rdf graph semantic conflict context interchange additional contextual information wider context rdf triple heterogeneous data source different context systematic approach autonomous rdf data source consistent understanding sparql query context interchange strategy many semantic web application data access
