Kanopy: Analysing the Semantic Network around Document Topics
Hulpus, Ioana Hayes, Conor Karnstedt, Marcel Greene, Derek Jozwowicz, Marek
Hulpus, Ioana
Hayes, Conor
Karnstedt, Marcel
Greene, Derek
Jozwowicz, Marek
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Publication Date
2013
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Type
Conference Paper
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Ioana Hulpus and Conor Hayes and Marcel Karnstedt and Derek Greene and Marek Jozwowicz (2013) Kanopy: Analysing the Semantic Network around Document Topics . In: Hendrick Blockeel and Kristian Kersting and Siegfried Nijssen and Filip Zelezny eds. Machine Learning and Knowledge Discovery in Databases - ECML-PKDD
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 system s 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.
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Publisher
Springer
Publisher DOI
10.1007/978-3-642-40994-3_53
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Attribution-NonCommercial-NoDerivs 3.0 Ireland