PLATO

PLATO is a framework for identification of partonimic relation between the entities of the LOD cloud. It was developed particularly for entities of Linked Open Data. Moving beyond using owl:SameAs and identifying richer relationships such as partonimic relationship in LOD are needed to enable the answering of complex questions and to support more intelligent applications.

PLATO use partonomy classification created by Winston[1] and mine the web to guide its approach. Winston created a categorization of part-whole relations which identifies and covers part-whole relations from a number of domains such as artifacts, geographical entities, food and liquids. It is recognized as one of the most comprehensive categorizations of partonomic relationships. Based on that PLATO use heuristics to generate candidate pairs for part-of relationship using co-references and validate the pairs generated using queries over the web.

The software components and evaluation components will be available soon. Please check back again.

Publication: Prateek Jain, Pascal Hitzler, Kunal Verma, Peter Z. Yeh and Amit P. Sheth, Moving beyond sameAs with PLATO: Partonomy detection for Linked Data. In Proceedings of the 23rd ACM Hypertext and Social Media conference (HT 2012), Milwaukee, WI, USA, June 25th-28th, 2012.

Research on PLATO is part of "EAGER: Expressive Scalable Querying over Integrated Linked Open Data". For further details, see project page http://knoesis.org/research/semweb/projects/ESQuILO.

[1] Morton E. Winston, Roger Chaffin, and Douglas Herrmann. A taxonomy of part-whole relations. Cognitive Science, 1987