Quantitative evaluation of Web site content and structure

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Bibliografski detalji
Izdano u:	Library Computing vol. 19, no. 3/4 (2000), p. 134-147
Glavni autor:	Bauer, Christian
Daljnji autori:	Scharl, Arno
Izdano:	Emerald Group Publishing Limited
Teme:	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
Online pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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Opis
Sažetak:	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
Izvor:	ABI/INFORM Global