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AIC Seminar Series

Ontology and the Lexicon: A Roundtrip

Aldo GangemiNational Research Council, Italy[Home Page]

Notice:  Please note the unusual time / host: Vinay Chaudhri

Date:  2009-08-04 at 14:00

Location:  EJ228 (SRI E building)  (Directions)

   Abstract

Ontology design heavily depends on our assumptions that make sense of natural language requirements in formal terms. The emergence of the Web of Data is stressing this point even further. NLP techniques are more and more hybridized with knowledge engineering, but it is still unclear what happens when language technologies is used to enrich semantic data, or when we use formal semantics to manage lexical data. On the other hand, the past idealized views of a fully formal semantic web, or of NLP based on full-fledged formal semantics are hitting against scalability, usability, and practical engineering work. In this talk I propose a tolerant approach to add semantics to the web of data as well as to NLP and lexical data.

   Bio for Aldo Gangemi

ldo Gangemi is senior researcher at the CNR Institute for Cognitive Sciences and Technology in Rome, and head of the newly formed Semantic Technology Lab (STLab, http://stlab.istc.cnr.it). His research focuses on collaborative ontology design, lexical semantics, and semantic interoperability. He has a large international publication, conference organization, and teaching track, and has been involved in several projects funded by the European Union, governmental organizations, and industrial companies (either as research partner or consultant). The STLab is currently a partner in the EU projects NeOn (http://www.neon-project.org), IKS (http://www.iks-project.eu), and BONy (http://www.bonynetwork.eu/), and coordinates the CNR research programmes Semantic IntraWeb, Semantic Scouting, and Historical Knowledge Representation. He has coordinated the CNIPA Working Group for the Standardization of Metadata and Semantics in the e-Services of Italian Public Administration, and the W3C Task Force on Porting WordNet to the Semantic Web.

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