AMETHYST: A System for Mining and Exploring Topical Hierarchies of Heterogeneous Data

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
In this paper, the authors present AMETHYST, a system for exploring and analyzing a topical hierarchy constructed from a Heterogeneous Information Network (HIN). HINs, composed of multiple types of entities and links are very common in the real world. Many have a text component, and thus can benefit from a high quality hierarchical organization of the topics in the network dataset. By organizing the topics into a hierarchy, AMETHYST helps understand search results in the context of an ontology, and explain entity relatedness at different granularities.
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