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Journal of the American… | 7 |
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Iyengar, S. S. | 2 |
Zachary, John | 2 |
Barhen, Jacob | 1 |
Day, Ronald E. | 1 |
Greisdorf, Howard | 1 |
Hjorland, Birger | 1 |
Losee, Robert M. | 1 |
McKechnie, Lynne | 1 |
Pettigrew, Karen E. | 1 |
Spink, Amanda | 1 |
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Journal Articles | 7 |
Reports - Research | 4 |
Reports - Evaluative | 2 |
Reports - Descriptive | 1 |
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Day, Ronald E. – Journal of the American Society for Information Science and Technology, 2001
Presents European documentalist, critical modernist, and Autonomous Marxist influenced post-Fordist views regarding the management of knowledge in mid- and late-twentieth century Western modernity and postmodernity, and the complex theoretical and ideological debates, especially concerning issues of language and community. Discusses views of…
Descriptors: Communication (Thought Transfer), Foreign Countries, History, Information Technology

Losee, Robert M. – Journal of the American Society for Information Science and Technology, 2001
Discusses relationships between the frequency-based characteristics of neighboring terms in natural language and the rank or frequency of the terms. Topics include information theory measures, including expected mutual information measure (EMIM); entropy and rank; Luhn's model of term aboutness; Zipf's law; and implications for indexing and…
Descriptors: Entropy, Indexing, Information Retrieval, Information Theory

Pettigrew, Karen E.; McKechnie, Lynne – Journal of the American Society for Information Science and Technology, 2001
Reports on findings regarding authors' use of theory in 1,160 articles that appeared in six information science (IS) journals from 1993-1998. Findings indicate that theory was discussed in 34.1% of the articles. The majority of these theories were from the social sciences (45.4%), followed by IS (29.9%), the sciences (19.3%), and humanities…
Descriptors: Authors, Information Science, Information Theory, Journal Articles

Zachary, John; Iyengar, S. S. – Journal of the American Society for Information Science and Technology, 2001
Content-based image retrieval is based on the idea of extracting visual features from images and using them to index images in a database. Proposes similarity measures and an indexing algorithm based on information theory that permits an image to be represented as a single number. When used in conjunction with vectors, this method displays…
Descriptors: Indexes, Indexing, Information Retrieval, Information Theory

Zachary, John; Iyengar, S. S.; Barhen, Jacob – Journal of the American Society for Information Science and Technology, 2001
Proposes an alternative real valued representation of color based on the information theoretic concept of entropy. A theoretical presentation of image entropy is accompanied by a practical description of the merits and limitations of image entropy compared to color histograms. Results suggest that image entropy is a promising approach to image…
Descriptors: Color, Entropy, Information Retrieval, Information Systems

Hjorland, Birger – Journal of the American Society for Information Science and Technology, 2001
In information science, it is important to consider the nature and meaning of theories of aboutness, subject analysis and related concepts, which are closely related to theoretical and metatheoretical issues in information retrieval (IR). A theory of IR must specify which concepts should be regarded as synonymous concepts and explain how the…
Descriptors: Information Retrieval, Information Science, Information Seeking, Information Sources

Spink, Amanda; Greisdorf, Howard – Journal of the American Society for Information Science and Technology, 2001
Investigates the regions across a distribution of users' relevance judgments. A multidimensional instrument was designed using four scales for collecting, measuring, and describing end-user relevance judgments, and was administered to 21 end-users who conducted searches on their own information problems and made relevance judgments on a total of…
Descriptors: Evaluation Methods, Information Retrieval, Information Seeking, Information Systems