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Conceptual structures for STEM data: linked, open, rich and personal

Conceptual structures for STEM data: linked, open, rich and personal
Conceptual structures for STEM data: linked, open, rich and personal
Linked and open data is increasing being used by governments, business and administration. Awareness of the affordances and potential utility of open data is being raised by the emergence of a host of web based and mobile applications. Across the educational and research communities applications applying the principles linked data principles have emerged.
Systems developed and used by researchers and academics are most likely to be predominantly in the hands of the early adopters and current developments found in higher education tend to be atomized, yet there is potentially considerable advantage in associating and integrating applications for organisational, educational and administrative.
This paper presents an argument for how we can move from early adopters to early majority, and at the same time presents a roadmap which will outline some of the significant challenges which remain to be addressed.
linked data, open data, semantic annotation, higher education, organizational change
978-3-642-35786-2
Springer Verlag
White, Su
5f9a277b-df62-4079-ae97-b9c35264c146
White, Su
5f9a277b-df62-4079-ae97-b9c35264c146

White, Su (2013) Conceptual structures for STEM data: linked, open, rich and personal. In Conceptual Structures for Discovering Knowledge Conceptual Structures for Discovering Knowledge. vol. 7735, Springer Verlag..

Record type: Conference or Workshop Item (Paper)

Abstract

Linked and open data is increasing being used by governments, business and administration. Awareness of the affordances and potential utility of open data is being raised by the emergence of a host of web based and mobile applications. Across the educational and research communities applications applying the principles linked data principles have emerged.
Systems developed and used by researchers and academics are most likely to be predominantly in the hands of the early adopters and current developments found in higher education tend to be atomized, yet there is potentially considerable advantage in associating and integrating applications for organisational, educational and administrative.
This paper presents an argument for how we can move from early adopters to early majority, and at the same time presents a roadmap which will outline some of the significant challenges which remain to be addressed.

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More information

Published date: 10 January 2013
Additional Information: Invited Keynote presentation and accompanying paper Final acceptance will be based on the full-length paper, which if accepted, must be presented at the conference. Papers accepted for publication will appear in the Lecture Notes in Artificial Intelligence Series by Springer-Verlag (see http://www.springeronline.com/lncs), and the best papers will appear in a special issue of the International Journal of Conceptual Structures and Smart Applications journal after the conference.
Venue - Dates: 20th International Conference on Conceptual Structures : ICCS'13: Conceptual Structures for Knowledge Representation for STEM Research and Education, India, 2013-01-10 - 2013-01-12
Keywords: linked data, open data, semantic annotation, higher education, organizational change
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 346927
URI: http://eprints.soton.ac.uk/id/eprint/346927
ISBN: 978-3-642-35786-2
PURE UUID: bf4f06c9-40ee-48f3-ac7e-f36b55fbade3
ORCID for Su White: ORCID iD orcid.org/0000-0001-9588-5275

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Date deposited: 06 Feb 2013 15:55
Last modified: 20 Jul 2019 01:09

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Author: Su White ORCID iD

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