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Abstract

The Internet challenges designers of reference resources to structure user interfaces so that they facilitate quick access to bibliographies. Designers can organize bibliographies in chronological order of publication, alphabetical listing by author or title and/or subject-headings; or can follow a subject classification scheme from the relevant field. Chronological order of publication and alphabetical listings of authors and titles are the simplest ways to organize bibliographic materials, but these methods usually fall to present the thematic relations among the various items. The subject classification is the most systematic presentation, but the most complicated to develop. This study explores the subject classification model, elaborates its rationale, demonstrates an exemplary faceted subject classification scheme grounded in solid scientific foundations, and clarifies the scientific foundations of the three-phase structuring methodology that was utilized. The exemplary classificatory model is a seven-facet subject classification scheme designed for classifying scholarly papers in the field of Logotherapy. The study, in particular the scientific structuring methodology, provides an example for structuring bibliographic resources in the social sciences, as well as in other academic fields

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Abstract

Designing systematic access to Internet resources is a major item an the agenda of researchers and practitioners in the field of information science, and is the focus of this study. A critical analysis of classification schemes used in major portals and Web classified directories exposes inconsistencies in the way they classify Internet resources. The inconsistencies indicate that the developers fall to differentiate the various classificatory models, and are unaware of their different rationales. The study establishes eight classificatory models for resources available to Internet users. Internet resources can be classified by subjects, objects, applications, users, locations, reference sources, media, and languages. The first five models are contentrelated; namely they characterize the content of the resource. The other three models are formst-related; namely they characterize the format of the resource or its technological infrastructure. The study identifies and formulates the eight classificatory models, analyzes their rationales, and discusses alternative ways to combine them in a faceted integrated classification scheme.