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dc.contributor.authorHulpus, Ioana
dc.contributor.authorHayes, Conor
dc.contributor.authorKarnstedt, Marcel
dc.contributor.authorGreene, Derek
dc.contributor.authorJozwowicz, Marek
dc.contributor.editorHendrick Blockeel and Kristian Kersting and Siegfried Nijssen and Filip Zelezny
dc.identifier.citationIoana 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-PKDDen_US
dc.description.abstractExternal 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.en_US
dc.relation.ispartofMachine Learning and Knowledge Discovery in Databases - ECML-PKDDen
dc.relation.ispartofseriesLecture Notes in Computer Science;
dc.titleKanopy: Analysing the Semantic Network around Document Topicsen_US
dc.typeConference Paperen_US
dc.local.contactIoana Rodica Hulpus, Insight, Nui Galway. Email:

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