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Conceptual Modeling of Large Web Sites

ISBN
1-878289-84-5
Type
conference paper
Date Issued
2000
Author(s)
Strauch, Bernhard
;
Winter, Robert  
Editor(s)
Khosrowpour, Mehdi
Research Team
IWI1
Abstract
Current web site development is still dominated by technical issues. In order to enable efficient communicationbetween developers and to provide a stable foundation for adopting new technologies, web sites should be derivedfrom conceptual models. Based on the state-of-the-art of conceptual modeling as implemented in currentCASE environments as well as web site development tools, the essence of a web site is identified, and an adequateconceptual meta model is proposed. Appropriate web site models are intended to capture not only hierarchicaldocument structure and hypertext semantics, but also dynamical page generation from databases as wellas explicit and implicit navigation. It becomes evident that web sites can be regarded as supersets of traditionalinformation systems, thereby requiring conceptual modeling to include various additional features. The proposedmeta model comprises several classes of information objects, various types of associations, design rules,and quality checks. For illustration purposes, the model is applied to an existing web site. Commercial web sitedevelopment tools are analyzed with regard to the extent to which they support conceptual web site modeling.
Language
English
HSG Classification
not classified
Refereed
No
Book title
Challenges of Information Technology Management in the 21st Century
Publisher
Idea Group Publishing
Publisher place
Hershey, London
Start page
172
End page
177
Pages
6
Event Title
2000 Information Management Association International Conference
Event Location
Anchorage, Alaska, USA
Event Date
21.-24.05.2000
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/74999
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

Eprints ID
213870
File(s)
Thumbnail Image

open.access

Name

irma2000web.pdf

Size

96.91 KB

Format

Adobe PDF

Checksum (MD5)

359f463864c1776a7b4c819276ca17aa

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