Searching and browsing relationships between entities is an important task in many domains. To support users in interactively exploring 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 hierarchical clustering of relationships exploits their schematic patterns and a similarity measure based on information theory.
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