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ICON 2009

7th International Conference on Natural Language Processing, Hyderabad

keynote lecture 2

Cliques, Categories and Analogies:  Building O Ontologies Bottom-Up: Keynote lecture 2 at ICON 2009, at IIIT Hyderabad, by Tony Veale, University College Dublin, Dublin.

Abstract

Similarity and comparability are complementary notions that are easy to confuse and difficult to tease apart. Semantic similarity makes comparison meaningful, while comparison is often the pragmatic means through which similarity is perceived and constructed. To date, WordNet has found wide application as a basis for modeling and measuring semantic similarity, but is lacking as a basis for well-formed comparability judgments. In this talk the speaker will describe a corpus-based approach to learning a model of sensible comparability, and show how this pragmatic model can be integrated with a WordNet-based notion of semantic similarity. This model of comparability, called Mondrian, provides a convenient and efficient means of supporting simple relational analogies between WordNet terms, and how analogies of this kind can be used for the automatic acquisition of enriching relational knowledge in WordNet.

Comparability and analogy can also play a role in aligning the sub-structures of an ontology, either across different ontologies (in ontology mapping) or within the same ontology (in analogical mapping). Analogies within an ontology indicate the presence of higher-order similarities between instances or categories that should be reflected in the fine-grained structure of the ontology itself.  The speaker will show how analogies between categories in the same ontology can be detected via linguistic analysis of large text corpora, and further show how these analogies can be clustered via clique-analysis to create meaningful new category structures.

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23rd nov 2009

The technical schedule has been released.

23rd nov 2009

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ICON-2009 Secretariat

Language Technologies Research Centre
International Institute of Information Technology
Gachibowli
Hyderabad - 500032, India
Tel: +91-40.23001412
Fax: +91-40.66531413
icon2009@iiit.ac.in