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Improving Recall of Browsing Sets in Image Retrieval from a Semiotics Perspective

Description: The purpose of dissertation is to utilize connotative messages for enhancing image retrieval and browsing. By adopting semiotics as a theoretical tool, this study explores problems of image retrieval and proposes an image retrieval model. The semiotics approach conceptually demonstrates that: 1) a fundamental reason for the dissonance between retrieved images and user needs is representation of connotative messages, and 2) the image retrieval model which makes use of denotative index terms is able to facilitate users to browse connotatively related images effectively even when the users' needs are potentially expressed in the form of denotative query. Two experiments are performed for verifying the semiotic-based image retrieval model and evaluating the effectiveness of the model. As data sources, 5,199 records are collected from Artefacts Canada: Humanities by Canadian Heritage Information Network, and the candidate terms of connotation and denotation are extracted from Art & Architecture Thesaurus. The first experiment, by applying term association measures, verifies that the connotative messages of an image can be derived from denotative messages of the image. The second experiment reveals that the association thesaurus which is constructed based on the associations between connotation and denotation facilitates assigning connotative terms to image documents. In addition, the result of relevant judgments presents that the association thesaurus improves the relative recall of retrieved image documents as well as the relative recall of browsing sets. This study concludes that the association thesaurus indicating associations between connotation and denotation is able to improve the accessibility of the connotative messages. The results of the study are hoped to contribute to the conceptual knowledge of image retrieval by providing understandings of connotative messages within an image and to the practical design of image retrieval system by proposing an association thesaurus which can supplement the limitations of the current content-based image retrieval systems ...
Date: May 2006
Creator: Yoon, JungWon
Partner: UNT Libraries

SQL Data Analysis Procedures to Create Aggregate and Candidate Record Groups on Sample of Decomposed MARC Records Phase 1 Testing

Description: This document describes the data analysis procedures developed to create the Aggregate and Candidate Record Groups using SQL statements. This is the preliminary version of these procedures tested and validated on a sample of decomposed MARC records. (For a description of how the MARC records were decomposed see the Z-Interop document, Decomposing MARC 21 Records for Analysis. A subsequent version may be necessary as the authors move to the procedures for the entire file of decomposed records.
Date: October 14, 2001
Creator: Yoon, JungWon & Moen, William E.
Partner: UNT College of Information

An Alternative Approach to Interoperability Testing

Description: Presentation for the 2005 American Society for Information Science and Technology (ASIS&T) Annual Meeting. This presentation discusses an alternative approach to interoperability testing and the use of special diagnostic records in the context of Z39.50 and online library catalogs.
Date: November 1, 2005
Creator: Moen, William E. & Yoon, JungWon
Partner: UNT College of Information