A method for visualising possible contexts

Amitani, S; Edmonds, E

A method for visualising possible contexts

Amitani, S Edmonds, E

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007, 4693 LNAI (PART 2), pp. 901 - 908
Issue Date:: 2007-12-01

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Field	Value	Language
dc.contributor.author	Amitani, S	en_US
dc.contributor.author	Edmonds, E	en_US
dc.date.issued	2007-12-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007, 4693 LNAI (PART 2), pp. 901 - 908	en_US
dc.identifier.isbn	9783540748267	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2549
dc.description.abstract	This paper presents a method for visualising possible sequences of information. Possible sequences of information segments, called contexts, scenarios, narratives, or story tellings, have been used as a tool for exploring and stimulating thinking about possible events, assumptions relating to these events, and courses of actions, i.e. chances for a broad range of information designers from public audiences searching on the internet to analysts and policy makers. Thanks to the search technology, it has become easier to obtain information that a person is looking for, however, it is a laborious task to grab an overview of information space so that an information designer can find contextually relevant information pieces and sequence them into contextually meaningful ways. In this research, we design and develop a series of generative systems that visualises possible contexts. © Springer-Verlag Berlin Heidelberg 2007.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-540-74827-4_113	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A method for visualising possible contexts	en_US
dc.type	Conference Proceeding
utslib.citation.volume	PART 2	en_US
utslib.citation.volume	4693 LNAI	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Vietri sul Mare, Italy	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	open_access
pubs.issue	PART 2	en_US
pubs.publication-status	Published	en_US
pubs.volume	4693 LNAI	en_US

Abstract:

This paper presents a method for visualising possible sequences of information. Possible sequences of information segments, called contexts, scenarios, narratives, or story tellings, have been used as a tool for exploring and stimulating thinking about possible events, assumptions relating to these events, and courses of actions, i.e. chances for a broad range of information designers from public audiences searching on the internet to analysts and policy makers. Thanks to the search technology, it has become easier to obtain information that a person is looking for, however, it is a laborious task to grab an overview of information space so that an information designer can find contextually relevant information pieces and sequence them into contextually meaningful ways. In this research, we design and develop a series of generative systems that visualises possible contexts. © Springer-Verlag Berlin Heidelberg 2007.

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http://hdl.handle.net/10453/2549