@inproceedings{cdbac297040a49358f0d41a3b67633f2,
title = "AMETHYST: A system for mining and exploring topical hierarchies of heterogeneous data",
abstract = "In this demo we present AMETHYST, a system for explor- ing 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. The automatically constructed top- ical hierarchy reflects a domain-specific ontology, interacts with multiple types of linked entities, and can be tailored for both free text and OLAP queries.",
keywords = "Entity mining, Heterogeneous network, Network analysis, Topic modeling",
author = "Marina Danilevsky and Chi Wang and Fangbo Tao and Son Nguyen and Gong Chen and Nihit Desai and Lidan Wang and Jiawei Han",
note = "Publisher Copyright: Copyright {\textcopyright} 2013 ACM.; 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013 ; Conference date: 11-08-2013 Through 14-08-2013",
year = "2013",
month = aug,
day = "11",
doi = "10.1145/2487575.2487716",
language = "English (US)",
series = "Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",
publisher = "Association for Computing Machinery",
pages = "1458--1461",
editor = "Rajesh Parekh and Jingrui He and Inderjit, {Dhillon S.} and Paul Bradley and Yehuda Koren and Rayid Ghani and Senator, {Ted E.} and Grossman, {Robert L.} and Ramasamy Uthurusamy",
booktitle = "KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",
address = "United States",
}