期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：11
页码：584-593
DOI：10.35629/5252-0311347360
语种：English
出版社：IJAEM JOURNAL
摘要：Objects and data in the real world are of varying nature in their types, nature, complexity and hence heterogeneous forming semi-structured information networks. Mostly, network science researches are focussed on homogeneous networks without characterising various types of objects and links in the networks. Our view relates with interconnected, multityped data as heterogeneous information networks. In this paper we focus on the study of how to manage the rich semantic meaning of structural types of objects and various links in the networks and present a structural analysis approach on mining semi-structured, multityped heterogeneous information networks. Also, a set of methods that can mine useful knowledge form heterogeneous information networks is summarized and pointed out some favourable research direction in the area of interest.
关键词：Bibliographic Information Networks;Link Analysis;Clustering;Ranking
