Clustering Citation Distributions for Semantic Categorization and Citation Prediction

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
In this paper, the authors present an approach for clustering authors according to their citation distributions and ontology, the bibliometric data ontology, for supporting the formal representation of such clusters. This method allows the formulation of queries which take in consideration the citation behavior of an author and predicts with a good level of accuracy future citation behaviors. They evaluate their approach with respect to alternative solutions and discuss the predicting abilities of the identified clusters.
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