RelClus: Clustering-based Relationship Search

Presented at: The 12th International Semantic Web Conference (ISWC2013)

by Yanan Zhang, Gong Cheng, Yuzhong Qu

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.


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2013/poster-demo-proceedings/paper-03


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