Aidan Hogan, Emir Muñoz and Jürgen Umbrich, LODPeas: Like peas in a LOD (cloud), in Proceedings of the Semantic Web Challenge co-located with ISWC2012, Boston, US, November, 2012. [PDF(local)], [PDF(online)]

Abstract:
We present LODPeas: a system for browsing entities that are found to share many things in common in an RDF dataset. The system first offers standard keyword search to locate a focus entity. Once a focus entity has been found, other entities that share a lot in common with it are displayed in a graph-based visualisation. The degree to which two entities have a lot in common---their level of concurrence---is scored by looking at attributes (property--value pairs) that they share: attributes that are shared by few other entities are given higher weight, and additional shared attributes imply a stronger score. LODPeas is designed to scale for billions of triples and is built in an (almost) entirely domain-agnostic fashion, built on top of the RDF standards themselves and not requiring any domain-specific input. Herein, we describe the functionality of LODPeas, how the system was built over the BTC'12, and discuss possible applications.

BibTex:

    @InProceedings { iswc2012paper-semantic-web-challenge-btc-03,
      author = { Aidan Hogan, Emir Muñoz and Jürgen Umbrich },
      title = { LODPeas: Like peas in a LOD (cloud) },
      booktitle = { Proceedings of the Semantic Web Challenge co-located with ISWC2012 },
      address = {Boston, US},
      month = { November },
      year = { 2012 },
    }

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