Amethyst: A System For Mining And Exploring Topical Hierarchies Of Heterogeneous Data

KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Chicago Illinois USA August, 2013(2013)

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摘要
In this demo we present AMETHYST. a system for exploring and analyzing, a topical hierarchy constructed from a heterogeneous information network (HIN), HINs, composed of multiple typcss of entities and links are very common in the real world. Many have a text component, and thus can benefit from a high quality hieranthical organization of the topics in the network dataset. B organizing the topics into a hierarchy, ANIETHYST helps understand search results in the context of an ontology. and explain entity relatedness at different granularities. The automatically constructed topical. hierarclry reflects a domain-specific ontology, interacts with multiple types of linked entities. and can be tailored for both free text and OLAP queries.
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关键词
Topic Modeling,Network Analysis,Heterogeneous Network,Entity Mining
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