Logic-based and Scalable Ontology Mapping
Ernesto Jimenez-Ruiz
Info
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Date |
24th January 2012 (week 2, Hilary Term 2012) |
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Time |
11:30 |
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Place |
147 |
Abstract
LogMap is a highly scalable ontology matching system with ‘built-in’
reasoning and diagnosis capabilities.
To the best of our knowledge, LogMap is
the only matching system that can deal with semantically rich ontologies
containing
tens (and even hundreds) of thousands of classes. In contrast to
most existing tools, LogMap also implements algorithms
for ‘on the fly’
unsatisfiability detection and repair. Our experiments with the ontologies NCI,
FMA
and SNOMED CT confirm that our system can efficiently match even the largest
existing bio-medical ontologies. Furthermore,
LogMap is able to produce a
‘clean’ set of output mappings in many cases, in the sense that the
ontology
obtained by integrating LogMap’s output mappings with the input
ontologies is consistent and does not contain unsatisfiable
classes. LogMap has
also participated the 2011 edition of the Ontology Alignment Evaluaton
Initiative providing
the second best results in terms of F-measure in the
Anatomy track (the largest test within the campaign) and being the
fastest tool
(25 times faster than the best tool and more than 75 times faster than the third
best tool).
Further info
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Related series |
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