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 },
}