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Dr Vinay K Chaudhri

Program Director
Artificial Intelligence Center SRI International
Menlo Park, CA

Dr. Vinay Chaudhri possui novas reflexões sobre a representação do conhecimento e ontologias, material apresentado em Stanford em 2013. Além disso, participa ativamente de dois dos principais projetos em largua escala de uso de ontologias (Siri e Inquire).

A experiência acumulada desenvolvendo uma mega-ontologia de Biologia no projeto Inquire (5.000 conceitos) é de especial interesse para os participantes do Ontobras.


Keynote title: KB_Bio_101:  Conceptual Modeling Challenges in Creating a Biology Knowledge Base

KB_Bio_101 contains knowledge from an introductory college level biology textbook, has been developed as part of Project Halo, and is now freely available for research use. In this presentation, I will briefly introduce the knowledge representation used for creating the KB_Bio_101, and spend bulk of the time describing the design of an ontology for structure and function and the knowledge encoding process.  KB_Bio_101 is a valuable resource for the ontology research community to study a variety of problems such as ontology quality, ontology design patterns, ontology modularization as well as for creating new ontologies for biological knowledge such as experiments, models, evolution, etc.

Dr. Vinay K. Chaudhri is a program director in the Artificial Intelligence (AI) Center at SRI International. His research focuses on the science and engineering of large knowledge base systems and spans knowledge representation and reasoning, question answering, knowledge acquisition, and innovative applications. His most recent work has been on creating an intelligent textbook in biology that answers a student's questions and leads to significant learning gains. A video on this project won the best video award at AAAI.   He has co-edited a volume on the theory and application of conceptual modeling, and two special issues of AI Magazine --- one on Question Answering Systems, and another on application of AI to Contemporary and Emerging Education Challenges.


Dr Chris Partridge

Chief Ontologist at BORO Solutions
London, United Kingdom

Chris Partridge tem formação em Filosofia e Matematica (Oxford) e possui ampla experiência com aplicação de ontologias na indústria - em particular na indústria de petróleo - mas também em Enterprise Architecture (envolveu-se na versão inglesa do modelo Dodaf). Atualmente tem trabalhos sobre ontologias 4D e Big Data.

Chris Partridge is a leading expert in the pragmatic implementation of semantic data (particularly ontologies) for information systems and enterprise architectures. He has been involved in projects implementing these techniques since 1987. He also regularly publishes and speaks on the subject. He is the prime developer of the BORO® products - the BORO Methodology® and the BORO Foundation, which have been used in a number of standards (ISO 15926, IDEAS). He has been working in this field since 1987. He is the author of a book, Business Objects: Re-engineering for re-use (published by Butterworth-Heinemann in 1996), one of the first books to describe business information re-engineering using business objects and ontologies. He is also the author of a number of papers as well as a speaker at workshops and conferences. He has run a number of training workshops. Since 2000, he has been working as Chief Ontologist for the BORO Solutions.

Dra Maria Luiza M. Campos

Adjunct Director of Extension at the Mathematics Institute
Universidade Federal do Rio de Janeiro

Maria Luiza M. Campos holds a PhD in Information Systems from University of East Anglia, UK. Co-coordinator of the GRECO Group  at the Post-graduate Program on Informatics at UFRJ, she has been working at the Computer Science Department since 1995 and is currently Adjunct Director of Extension at the Mathematics Institute. Her research focuses on different aspects of information integration, including data warehousing, metadata management, and ontologies use on the semantic web, mainly applied to bioinformatics, governmental data and emergency management systems. She has already supervised more than 50 MSc and PhD thesis and has been engaged on many research and development projects on these topics.