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Association Analytics for Network Connectivity in a Bibliographic and Expertise Dataset
Abstract
This chapter highlights the benefits of semantics for analysis of the collaboration network in a bibliography dataset. Metadata of publications was used for extracting keywords and terms, which can be the starting point towards building a taxonomy of topics. The aggregated effect of the topics over all publications of an author can be used to determine his/her areas of expertise. We also highlight the value of using a taxonomy of topics in searching experts on a given topic.
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