KNOWLEDGE MIS-MANAGEMENT USF The University of Sigmund Freud

The current research Mental Mapping and Multi-media Analysis (MMAMMA) An analysis of graphical content in JASIST

Procedure Study of cluster and other similar graphics Study of columnar and bar charts, graphs and tables

Procedural Issues Digital Library STILL unavailable Weeded extraneous data such as –Text –Context –Kept some pretext (of scholarship) Razored graphics from paper JASIST issues Scanned into Adobe Acrobat

Processed With Updated Image Recognition Algorithm The eigenspace representation of images has attracted much attention recently among vision researchers. The basic idea is to represent images or image features in a transformed space where the individual features are uncorrelated. For a given set of (deterministic) images this can be achieved by performing the Singular Value Decomposition (SVD). The statistical equivalent of this is the Karhunen-Loeve Transform (KLT) which is computed by diagonalizing the autocorrelation matrix of the image ensemble. Both are well known techniques in image processing. However, they are computationally expensive. S. Chandrasekaran †, B.S. Manjunath †, Y.F. Wang ‡, J. Winkeler †, and H. Zhang ‡ (1996)

Cluster Data Median Transformation

Columnar and Chart Data

Findings Researchers Anderson and Lee (Cluster data) were concerned with: –Bilaterality –Symmetry –Data Stability Plotted data seemed to change size frequently –Data life Plot of older data revealed ellipsoid pattern

Findings Researchers Dole and Palmiero (Columnar data) were concerned with: –Sample Size –Data Stability –Data Permanence In some cases data was not available for all intended uses –Data life Plot of older data revealed more horizontal pattern

Conclusions It is Data when you store it, Information when you find it and Knowledge when you use it Sometimes data is just data, Ada.

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