The 3rd workshop of heterogeneous information network analysis and applications (HENA 2019)
Heterogeneous information network analysis and applications (HENA) A Workshop of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019) Beijing, China | November 3rd-7th, 2019
Workshop Overview

3rd Heterogeneous information network analysis and applications (HENA)

Now we are living in an interconnected world - where most of the data, informational objects, agents, or components are interconnected or interact with each other - forming gigantic and sophisticated information networks. Most real-world applications based on information networks can be structured into heterogeneous information networks that include different types of objects or links. Recent works on heterogeneous information network analysis and its applications have led to a convergence of methodologies for network modeling, graph mining, linking analysis, data semantics mining, and incorporating classification, learning and reasoning with graphical models. As a promising network analysis paradigm, heterogeneous information network analysis also faces challenges, such as how to manage more complex heterogonous data like RDF data and how to quickly handle large-scale heterogonous information network. This workshop shall provide a forum for researchers and practitioners to share new techniques and applications in heterogonous information network analysis.

Active research areas that are relevant to heterogeneous information networks include:

The emphasis of this workshop shall be analysis approaches and applications based on heterogeneous information networks extracted from heterogeneous sources such as technical literature, news articles, social network profile data, and social media. However, the scope is not limited to any particular approach to link analysis or any source of network information such as text corpora. Application areas that often exhibit a need for heterogeneous information network analysis include:

This workshop shall help to bring together people from these different areas and present an opportunity for researchers and practitioners to share new techniques for identifying and analyzing relationships in networks that integrate multiple types or sources of information.

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