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Artificial Intelligence Needs Open-Access Knowledgebase Contents
Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, CASL - Cognitive Autonomous Systems Laboratory.
2008 (English)In: Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI), Menlo Park, California, USA: AAAI Press , 2008, 1602-1605 p.Conference paper (Refereed)
Abstract [en]

A substantial knowledgebase is an important part of many A.I. applications as well as (arguably) in any system that is claimed to implement broad-range intelligence. Although this has been an accepted view in our field since very long, little progress has been made towards the establishment of large and sharable knowledgebases. Both basic research projects and applications projects have found it necessary to construct special-purpose knowledgebases for their respective needs. This is obviously a problem: it would save work and speed up progress if the construction of a broadly sharable and broadly useful knowledgebase could be a joint undertaking for the field. In this article I wish to discuss the possibilities and the obstacles in this respect. I shall argue that the field of Knowledge Representation needs to adopt a new and very different paradigm in order for progress to be made, so that besides working as usual on logical foundations and on algorithms, we should also devote substantial efforts to the systematic preparation of knowledgebase contents.

Place, publisher, year, edition, pages
Menlo Park, California, USA: AAAI Press , 2008. 1602-1605 p.
National Category
Computer Science
URN: urn:nbn:se:liu:diva-44624Local ID: 77199ISBN: 978-1-57735-368-3 (print)ISBN: 978-1-57735-367-6 (print)OAI: diva2:265486
Senior Members trackAvailable from: 2009-10-10 Created: 2009-10-10 Last updated: 2011-04-14

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Sandewall, Erik
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