Quantitative evaluation of Web site content and structure

Збережено в:

Бібліографічні деталі
Опубліковано в::	Library Computing vol. 19, no. 3/4 (2000), p. 134-147
Автор:	Bauer, Christian
Інші автори:	Scharl, Arno
Опубліковано:	Emerald Group Publishing Limited
Предмети:	United Kingdom > UK Neural networks Software Research Hypertext Statistical analysis Information systems Automation Retail banking Profits World Wide Web Classification Software utilities Internet resources Semantics Websites Guidelines Site Analysis Information Retrieval Hypermedia Educational Technology Individualized Instruction Case Studies Program Evaluation Evidence Awards Internet Comparative Analysis Directories Computer Software Semiotics Research Methodology
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Опис
Короткий огляд:	Data regarding the use of autonomous software tools to capture the characteristics of commercial Web information systems, determine their specific importance, and store them in a central data repository, are presented. The ultimate goal is to develop a consistent analysis and evaluation framework for publicly accessible hypertext structures. Based on the preprocessed information, a multi-methodological approach is chosen that comprises statistical clustering, textual analysis, supervised and non-supervised neural networks and manual classification for validation purposes.
ISSN:	1527-1161 0278-2634 0742-5759
Джерело:	ABI/INFORM Global