Abstract
External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes explicit use of this potential. Besides the common task of semantic annotation of documents, Kanopy analyses the semantic network that resides in DBpedia around extracted concepts. The systems main novelty lies in the translation of social network analysis measures to semantic networks in order to find suitable topic labels. Moreover, Kanopy extracts advanced knolwedge in the form of subgraphs that capture the relationships between the concepts.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | Machine Learning and Knowledge Discovery in Databases - ECML-PKDD |
| DOIs | |
| Publication status | Published - 1 Sep 2013 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Ioana Hulpus and Conor Hayes and Marcel Karnstedt and Derek Greene and Marek Jozwowicz
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