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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/119128...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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User Models: A Contribution to Pragmatics of Web Information Systems Design

Authors: Klaus-Dieter Schewe; Bernhard Thalheim;

User Models: A Contribution to Pragmatics of Web Information Systems Design

Abstract

On a high level of abstraction a Web Information System (WIS) can be described by a storyboard, which in an abstract way specifies who will be using the system, in which way and for which goals. While syntax and semantics of storyboarding has been well explored, its pragmatics has not. A first step towards pragmatics of storyboards is the observation and documentation of life cases in reality. These, however, have to be complemented by user models. This paper presents an approach to capture user models and to specify the various facets of actor profiles that are needed for them. We analyse actor profiles and present a semi-formal way for their documentation. We outline how these profiles can be used to specify actors, which are an important component of a storyboard.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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