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Searcher, 1997
Because 825,000 Internet domain names are assigned and 85,000 new site names are registered each month, the availability of new names is limited. To ease the situation, seven new generic top-level domain names (gTLDs) have been proposed for the Internet's domain name system by the International Ad Hoc Committee established by the Internet Assigned…
Descriptors: Classification, Information Management, International Organizations, Internet
Peer reviewedKaufman, David – Electronic Library, 2002
Discussion of knowledge management for electronic data focuses on creating a high quality similarity ranking algorithm. Topics include similarity ranking and unstructured data management; searching, categorization, and summarization of documents; query evaluation; considering sentences in addition to keywords; and vector models. (LRW)
Descriptors: Algorithms, Classification, Information Retrieval, Online Searching
Peer reviewedLeydesdorff, Loet – Journal of the American Society for Information Science and Technology, 2002
Discusses scientometric indicators and the strategic value of measurement results using scientometric indicators. Focuses on whether the inclusion of new journals in the "Science Citation Index" can be used for the indication of structural change in the database, and how this change can be compared with reorganizations of relations among…
Descriptors: Bibliometrics, Classification, Measurement Techniques, Scholarly Journals
Peer reviewedHuynh, Huynh; Meyer, J. Patrick – Journal of Applied Measurement, 2003
Using the Rasch model for ordered categories, this paper provides a method for qualitative interpretations of data from an affective measure such as an attitude scale. This maximum information approach provides explicit qualitative information about the meaning of a score on the latent trait being assessed. (SLD)
Descriptors: Affective Measures, Classification, Item Response Theory, Qualitative Research
Bates, Marcia J. – Online, 1988
Explains seven types of subject descriptions commonly used in databases--hierarchical classification, category codes, subject headings, descriptors, faceted classification, post-controlled vocabulary, and natural language--and describes specific search techniques for taking advantage of the strengths of particular types of vocabularies. An overall…
Descriptors: Classification, Databases, Indexing, Online Searching
Peer reviewedAkman, K. Ibhrahim – Journal of Information Science, 1995
Describes a new data compression technique that utilizes the common morphological structure of languages. Topics include classification of languages and their morphological structure; structured text compression; the algorithm and an example using Turkish; theoretical implications; and implementation. (LRW)
Descriptors: Algorithms, Language Classification, Mathematical Formulas, Morphology (Languages)
Stern, Joyce D. – Journal of Research in Rural Education, 1992
Introduces this special issue on the construction of a federal policy-impact code for classifying the nation's rural school districts. Despite the diversity in rural areas, rural education issues are somehow unique. The goal is to adequately reflect the impact of government education policies upon rural schooling. (KS)
Descriptors: Classification, Educational Policy, Elementary Secondary Education, Rural Education
Peer reviewedCarson, C. Herbert; Curtis, Ruth V. – Research Strategies, 1991
Describes instructional design theory at the micro level and offers practical examples that may be applied to bibliographic instruction. The Performance-Content Matrix, a classification scheme for categorizing learning objectives according to their specified level of performance and type of content, is explained; and Merrill's Component Display…
Descriptors: Behavioral Objectives, Classification, Instructional Design, Learning Theories
Basinger, Julianne – Chronicle of Higher Education, 2000
Explains the new Carnegie classification system for institutions of higher education, a sweeping revision that emphasizes teaching, focusing on the number and types of degrees an institution awards rather than research or selectivity in admissions. The biggest change is for universities that award doctorates--these are now grouped into only two…
Descriptors: Classification, Colleges, Degrees (Academic), Higher Education
Peer reviewedBell, D. A.; Guan, J. W. – Journal of the American Society for Information Science, 1998
Rough set theory is a new mathematical tool to deal with vagueness and uncertainty. Computational methods are presented for using rough sets to identify classes in datasets, finding dependencies in relations, and discovering rules which are hidden in databases. The methods are illustrated with a running example from a database of car test results.…
Descriptors: Classification, Computation, Data Analysis, Databases
Peer reviewedTang, Rong; Solomon, Paul – Journal of the American Society for Information Science and Technology, 2001
Describes empirical investigations of people's use of relevance criteria. Highlights include a laboratory experiment and a naturalistic study that explored the patterns of movement in use of relevance criteria during real-time document evaluation processes; criteria patterns; and a classification scheme and criteria taxonomy that may enable…
Descriptors: Classification, Context Effect, Evaluation Criteria, Naturalistic Observation
Peer reviewedLinacre, John M. – Journal of Outcome Measurement, 2000
Discusses levels of the Functional Independence Measure (FIM) as ordinal categories. Presents guidelines developed through the Rasch model that prompt an analyst to investigate whether rating categories produce observations on which meaningful measurement and inference about patient status can be based. (SLD)
Descriptors: Classification, Disabilities, Item Response Theory, Measurement Techniques
Peer reviewedBarnetson, Bob; Cutright, Marc – Higher Education, 2000
Describes performance indicators (PIs) as conceptual technologies that shape the issues academics think about and how they think about these issues. Explores the normative assumptions embedded in the PIs of higher education in Alberta, Canada, to yield an initial typology of assumptions academics can apply to PIs in higher education to refine or…
Descriptors: Classification, College Faculty, Educational Technology, Higher Education
Peer reviewedLuan, Jing; Serban, Andreea M. – New Directions for Institutional Research, 2002
Based on a taxonomy of knowledge management processes, provides a synopsis of technologies and vendors that support knowledge management. Proposes a model for classifying the various types of technologies related to knowledge management that are most often used in institutional research. (EV)
Descriptors: Classification, Computer Uses in Education, Higher Education, Models
Peer reviewedMaydeu-Olivares, Albert; Morera, Osvaldo; D'Zurilla, Thomas J. – Multivariate Behavioral Research, 1999
Using item response theory, discusses the difficulties faced in evaluating measurement invariance when a psychological construct is assessed through a test or inventory composed of categorical items. Illustrates the usefulness of fitplots in assessing measurement invariance in inventory data. (SLD)
Descriptors: Classification, Item Response Theory, Psychological Testing, Test Interpretation

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