Telecommunications Science ›› 2015, Vol. 31 ›› Issue (7): 43-51.doi: 10.11959/j.issn.1000-0801.2015166

• research and development • Previous Articles     Next Articles

Analysis and Semantic Mining in Heterogeneous Information Network

Rui Wang,Zhiqiang Zhang,Chuan Shi   

  1. Beijing Key Lab of Intelligent Telecommunication Software and Multimedia,Beijing University of Posts and Telecommunications,Beijing 100876,China
  • Online:2015-08-21 Published:2015-08-21
  • Supported by:
    The National Basic Research Program of China(973 Program);The National High Technology Research and Development Program of China(863 Program);The National High Technology Research and Development Program of China(863 Program);The National Natural Science Foundation of China;The National Natural Science Foundation of China

Abstract:

Heterogeneous information network(HIN),which is composed of different types of objects and links,has gradually become a hot topic in social network analysis.As a unique characteristic of HIN,meta path contains rich semantic information.Heterogeneous information network with values on links are ubiquitous in real world.Therefore,the traditional meta path,which doesn’t consider weight on links,can not exactly capture semantics in many cases.Related concepts of HIN were introduced and a brief introduction of applications of HIN was given.Then subtle semantic information in HIN was explored by extending the traditional meta path to weighted meta path.Experiments on two real data sets demonstrate the applications of the weighted meta path in recommendation,relevance search.

Key words: heterogeneous information network, meta path, relevance search, recommendation

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