Extracting Core Knowledge from Linked Data

Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
Recent research has shown the linked data cloud to be a potentially ideal basis for improving user experience when interacting with Web content across different applications and domains. Using the explicit knowledge of datasets, however, is neither sufficient nor straight-forward. Dataset knowledge is often not uniformly organized, thus it is generally unknown how to query for it. To deal with these issues, the authors propose a dataset analysis approach based on knowledge patterns, and show how the recognition of patterns can support querying datasets even if their vocabularies are previously unknown.

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