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Cognitive coherence relations and hypertext: from cinematic patterns to scholarly discourse
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Source Conference on Hypertext and Hypermedia archive
Proceedings of the 12th ACM conference on Hypertext and Hypermedia table of contents
Århus, none, Denmark
Session: 4b---Linearity, Nonlinearity table of contents
Pages: 165 - 174  
Year of Publication: 2001
ISBN:1-59113-420-7
Authors
Clara Mancini  Knowledge Media Institute, The Open University, Milton Keynes, MK7 6AA, UK
Simon Shum Buckingham  Knowledge Media Institute, The Open University, Milton Keynes, MK7 6AA, UK
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
AIAS : Alexandra Instituttet A/S
HYPE : Hypergenic
CCTAS : Costas Computer Technology A/S
JDI : Journal of Digital Information
SA : Scandinavian Airlines
UAARHUS : University of Aarhus
DANSKEB : Danske Bank
TT : Tool-tribe
ARHUSK : Arhus Kommune
ARHUSA : Arhus Amt
WMD : WM-Data
KSI : Knowledge Systems Inc.
Publisher
ACM  New York, NY, USA
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ABSTRACT

In previous work we argued that cinematic language may provide insights into the construction of narrative coherence in hypertext, and we identified in the shot juxtaposition of rhetorical patterns the source of coherence for cinematic discourse. Here we deepen our analysis, to show how the mechanisms that underpin cinematic rhetorical patterns are the same as those providing coherence in written text. We draw on computational and psycholinguistic analyses of texts which have derived a set of relationships that are termed Cognitive Coherence Relations (CCR). We validate this by re-expressing established cinematic patterns, and relations relevant to scholarly hypertext, in terms of CCR, and with this conceptual bridge in place, present examples to show how cinematic techniques could assist the presentation of scholarly discourse. This theoretical work also informs system design. We describe how an abstract relational layer based on CCR is being implemented as a semantic hypertext system to mediate scholarly discourse.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  8

Collaborative Colleagues:
Clara Mancini: colleagues
Simon Shum Buckingham: colleagues