Nepali Grammar Project: home
The Nepali Grammar Project is a collection of empirical, corpus-based investigations into the grammar of the Nepali language, currently ongoing at the Department of Linguistics and English Language at Lancaster University.
FRAMES
A Framework for Representing Knowledge
Marvin Minsky
MIT-AI Laboratory Memo 306, June, 1974.
Reprinted in The Psychology of Computer Vision, P. Winston Ed., McGraw-Hill, 1975. Shorter versions in J. Haugeland, Ed., Mind Design, MIT Press, 1981, and in Cognitive Science, Collins, Allan and Edward E. Smith eds. Morgan-Kaufmann, 1992 ISBN 55860-013-2]
SpringerLink - Book Chapter
Despite numerous efforts, the semantic web has yet to achieve widespread adoption. Recently, some researchers have argued that participation in the semantic web is too difficult for ldquoordinaryrdquo people, limiting its growth and popularity.
In response, this paper introduces Mangrove, a system whose goal is to entice non-technical people to semantically annotate their existing HTML data. Mangrove seeks to alter the cost-benefit equation of authoring semantic content. To increase the benefit, Mangrove is designed to make semantic content instantly available to services that consume the content and yield immediate, tangible benefit to authors. To reduce the cost, Mangrove makes semantic authoring as painless as possible by transferring some of the burden of schema design, data cleaning, and data structuring from content authors to the programmers who create semantic services.
We have designed and implemented a Mangrove prototype, built several semantic services for the system, and deployed those services in our department. This paper describes Mangrove’s goals, presents the system architecture, and reports on our implementation and deployment experience. Overall, Mangrove demonstrates a concrete path for enabling and enticing non-technical people to enter the semantic web.
SpringerLink - Book Chapter
Knowledge Media Institute, The Open University, Milton Keynes, UK,
Web browsing involves two tasks: finding the right web page and then making sense of its content. So far, research has focused on supporting the task of finding web resources through `standard’ information retrieval mechanisms, or semantics-enhanced search. Much less attention has been paid to the second problem. In this paper we describe Magpie, a tool which supports the interpretation of web pages. Magpie offers complementary knowledge sources, which a reader can call upon to quickly gain access to any background knowledge relevant to a web resource. Magpie automatically associates an ontology-based semantic layer to web resources, allowing relevant services to be invoked within a standard web browser. Hence, Magpie may be seen as a step towards a semantic web browser. The functionality of Magpie is illustrated using examples of how it has been integrated with our lab’s web resources.
