Linking Semistructured Data on the Web

Many Web data sources and APIs make their data available in XML, JSON, or a domain-specific semi-structured format, with the goal of making the data easily accessible and usable by Web application developers. Although such data formats are more machine-processable than pure text documents, managing and analyzing such data in large scale is often nontrivial. This is mainly due to the lack of a well-defined (or understood) structure and clear semantics in such data formats, which could result in poor data quality. In the xCurator project, the authors add structure to such data with the goal of publishing it on the Web as Linked Data.

Provided by: University of Toronto Topic: Data Management Date Added: Jun 2011 Format: PDF

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