When Peculiarity Makes a Difference: Object Characterisation in Heterogeneous Information Networks

• Main Authors: CHEN, Wei, ZHU, Feida, ZHAO, Lei, ZHOU, Xiaofang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Database systems; Query processing; Discriminative features; Heterogeneous information; Pruning strategy; Query performance; Real data sets; Similarity search; Engineering main heading: Information services; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3218; https://ink.library.smu.edu.sg/context/sis_research/article/4220/viewcontent/PeculiarityMakesaDifference_2016.pdf
• Institution: Singapore Management University

A central task in heterogeneous information networks (HIN) is how to characterise an entity, which underlies a wide range of applications such as similarity search, entity profiling and linkage. Most existing work focus on using the main features common to all. While this approach makes sense in set...