| Abstract |
Recent research has shown the Linked Data cloud to be a potentially ideal basis for improving user experience when interacting with Web content across diff erent applications and domains. Using the explicit knowledge of datasets, however, is neither suffi cient nor straightforward. Dataset knowledge is often not uniformly organized, thus it is generally unknown how to query for it. To deal with these issues, we 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. Finally, we discuss results from experimenting on three multimedia-related datasets. |