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On extending the knowledge sharing practices in scientific collaboration to the semantic web

The internet has greatly facilitated scientific collaborations to efficaciously share their analytic knowledge.The impending semantic web promises to dispense with some of the human effort by making the shared knowledge accessible to machines on a semantic basis; giving rise to the connotation of w...

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Main Authors: Annamalai, Muthukkaruppan, Sterling, Leon
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://repo.uum.edu.my/11391/1/444-449-CR192.pdf
http://repo.uum.edu.my/11391/
http://www.kmice.uum.edu.my
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spelling my.uum.repo.113912014-08-03T03:20:06Z http://repo.uum.edu.my/11391/ On extending the knowledge sharing practices in scientific collaboration to the semantic web Annamalai, Muthukkaruppan Sterling, Leon TK Electrical engineering. Electronics Nuclear engineering The internet has greatly facilitated scientific collaborations to efficaciously share their analytic knowledge.The impending semantic web promises to dispense with some of the human effort by making the shared knowledge accessible to machines on a semantic basis; giving rise to the connotation of webifying artificial intelligence (AI) for doing reasoning of science, if unchecked, could turn into another pipe-dream.In practise, as exemplified in this paper, it requires considerable effort to put the shared knowledge in common.Therefore, we stress the need to adopt a realistic attitude when extending the knowledge sharing practices in scientific collaboration to the semantic web.Drawing ideas from previous studies in academic communities, supported by our analysis about knowledge sharing in the case study domain of Experimental High-Energy Physics(EHEP), and acknowledging the limitation of AI, we advocate pursuing a pragmatic approach that emphasises the sharing of the analytic knowledge of a domain which is employed in computation, not cognition. Further, we highlight that it is suffice to focus on the directively and paradigmatically shared knowledge in a scientific collaboration. 2008-06-10 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/11391/1/444-449-CR192.pdf Annamalai, Muthukkaruppan and Sterling, Leon (2008) On extending the knowledge sharing practices in scientific collaboration to the semantic web. In: Knowledge Management International Conference 2008 (KMICe2008), 10-12 June 2008, Langkawi, Malaysia. http://www.kmice.uum.edu.my
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Annamalai, Muthukkaruppan
Sterling, Leon
On extending the knowledge sharing practices in scientific collaboration to the semantic web
description The internet has greatly facilitated scientific collaborations to efficaciously share their analytic knowledge.The impending semantic web promises to dispense with some of the human effort by making the shared knowledge accessible to machines on a semantic basis; giving rise to the connotation of webifying artificial intelligence (AI) for doing reasoning of science, if unchecked, could turn into another pipe-dream.In practise, as exemplified in this paper, it requires considerable effort to put the shared knowledge in common.Therefore, we stress the need to adopt a realistic attitude when extending the knowledge sharing practices in scientific collaboration to the semantic web.Drawing ideas from previous studies in academic communities, supported by our analysis about knowledge sharing in the case study domain of Experimental High-Energy Physics(EHEP), and acknowledging the limitation of AI, we advocate pursuing a pragmatic approach that emphasises the sharing of the analytic knowledge of a domain which is employed in computation, not cognition. Further, we highlight that it is suffice to focus on the directively and paradigmatically shared knowledge in a scientific collaboration.
format Conference or Workshop Item
author Annamalai, Muthukkaruppan
Sterling, Leon
author_facet Annamalai, Muthukkaruppan
Sterling, Leon
author_sort Annamalai, Muthukkaruppan
title On extending the knowledge sharing practices in scientific collaboration to the semantic web
title_short On extending the knowledge sharing practices in scientific collaboration to the semantic web
title_full On extending the knowledge sharing practices in scientific collaboration to the semantic web
title_fullStr On extending the knowledge sharing practices in scientific collaboration to the semantic web
title_full_unstemmed On extending the knowledge sharing practices in scientific collaboration to the semantic web
title_sort on extending the knowledge sharing practices in scientific collaboration to the semantic web
publishDate 2008
url http://repo.uum.edu.my/11391/1/444-449-CR192.pdf
http://repo.uum.edu.my/11391/
http://www.kmice.uum.edu.my
_version_ 1644280632128307200
score 13.211869

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