Extracting Taxonomies from Bipartite Graphs
نویسندگان
چکیده
Given a large bipartite graph that represents objects and their properties, how can we automatically extract semantic information that provides an overview of the data and – at the same time – enables us to drill down to specific parts for an in-depth analysis? In this work in-progress paper, we propose extracting a taxonomy that models the relation between the properties via an is-a hierarchy. The extracted taxonomy arranges the properties from general to specific providing different levels of abstraction.
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