RelClus: clustering-based relationship search
Yanan Zhang, Gong Cheng, Yuzhong Qu · 2013
Abstract. Searching and browsing relationships between entities is an important task in many domains. To support users in interactively ex-ploring a large set of relationships, we present a novel relationship search engine called RelClus, which automatically groups search results into a dynamically generated hierarchy with meaningful labels. This hierarchi-cal clustering of relationships exploits their schematic patterns and a similarity measure based on information theory.