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. © 2013 Springer-Verlag.
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CITATION STYLE
Hulpuş, I., Hayes, C., Karnstedt, M., Greene, D., & Jozwowicz, M. (2013). Kanopy: Analysing the semantic network around document topics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8190 LNAI, pp. 677–680). https://doi.org/10.1007/978-3-642-40994-3_53
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