RDF Ontology (Re-)Engineering through Large-scale Data Mining

author: Christoph Bohm, Hasso-Plattner-Institute, University of Potsdam
published: Nov. 25, 2011,   recorded: October 2011,   views: 3207


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


As Linked Open Data originates from various sources, lever- aging well-de fined ontologies aids integration. However, oftentimes the utilization of RDF vocabularies by data publishers di ffers from the in- tended application envisioned by ontology engineers. Especially in large- scale datasets as presented in the Billion Triple Challenge a signi ficant divergence between vocabulary specification and usage patterns can be observed. This may impede the goals of the Web of Data in terms of dis- covering domain-specifi c information in the Semantic Web. In this work, we identify common misusage patterns by employing frequency analysis and rule mining and propose re-engineering suggestions.

See Also:

Download slides icon Download slides: iswc2011_bohm_ontology_01.pdf (456.8┬áKB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: