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  Partner: UNT Libraries
 Department: School of Library and Information Sciences
 Decade: 2000-2009
The intersection of social networks in a public service model: A case study.

The intersection of social networks in a public service model: A case study.

Date: December 2007
Creator: Schultz-Jones, Barbara Ann
Description: Examining human interaction networks contributes to an understanding of factors that improve and constrain collaboration. This study examined multiple network levels of information exchanges within a public service model designed to strengthen community partnerships by connecting city services to the neighborhoods. The research setting was the Neighbourhood Integrated Service Teams (NIST) program in Vancouver, B.C., Canada. A literature review related information dimensions to the municipal structure, including social network theory, social network analysis, social capital, transactive memory theory, public goods theory, and the information environment of the public administration setting. The research method involved multiple instruments and included surveys of two bounded populations. First, the membership of the NIST program received a survey asking for identification of up to 20 people they contact for NIST-related work. Second, a network component of the NIST program, 23 community centre coordinators in the Parks and Recreation Department, completed a survey designed to identify their information exchanges relating to regular work responsibilities and the infusion of NIST issues. Additionally, 25 semi-structured interviews with the coordinators and other program members, collection of organization documents, field observation, and feedback sessions provided valuable insight into the complexity of the model. This research contributes to the application of ...
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An Examination Of The Variation In Information Systems Project Cost Estimates: The Case Of Year 2000 Compliance Projects

An Examination Of The Variation In Information Systems Project Cost Estimates: The Case Of Year 2000 Compliance Projects

Date: May 2000
Creator: Fent, Darla
Description: The year 2000 (Y2K) problem presented a fortuitous opportunity to explore the relationship between estimated costs of software projects and five cost influence dimensions described by the Year 2000 Enterprise Cost Model (Kappelman, et al., 1998) -- organization, problem, solution, resources, and stage of completion. This research was a field study survey of (Y2K) project managers in industry, government, and education and part of a joint project that began in 1996 between the University of North Texas and the Y2K Working Group of the Society for Information Management (SIM). Evidence was found to support relationships between estimated costs and organization, problem, resources, and project stage but not for the solution dimension. Project stage appears to moderate the relationships for organization, particularly IS practices, and resources. A history of superior IS practices appears to mean lower estimated costs, especially for projects in larger IS organizations. Acquiring resources, especially external skills, appears to increase costs. Moreover, projects apparently have many individual differences, many related to size and to project stage, and their influences on costs appear to be at the sub-dimension or even the individual variable level. A Revised Year 2000 Enterprise Model is presented incorporating this granularity. Two primary conclusions can ...
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Creating a criterion-based information agent through data mining for automated identification of scholarly research on the World Wide Web

Creating a criterion-based information agent through data mining for automated identification of scholarly research on the World Wide Web

Date: May 2000
Creator: Nicholson, Scott
Description: This dissertation creates an information agent that correctly identifies Web pages containing scholarly research approximately 96% of the time. It does this by analyzing the Web page with a set of criteria, and then uses a classification tree to arrive at a decision. The criteria were gathered from the literature on selecting print and electronic materials for academic libraries. A Delphi study was done with an international panel of librarians to expand and refine the criteria until a list of 41 operationalizable criteria was agreed upon. A Perl program was then designed to analyze a Web page and determine a numerical value for each criterion. A large collection of Web pages was gathered comprising 5,000 pages that contain the full work of scholarly research and 5,000 random pages, representative of user searches, which do not contain scholarly research. Datasets were built by running the Perl program on these Web pages. The datasets were split into model building and testing sets. Data mining was then used to create different classification models. Four techniques were used: logistic regression, nonparametric discriminant analysis, classification trees, and neural networks. The models were created with the model datasets and then tested against the test dataset. Precision ...
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The Cluster Hypothesis: A visual/statistical analysis

The Cluster Hypothesis: A visual/statistical analysis

Access: Use of this item is restricted to the UNT Community.
Date: May 2000
Creator: Sullivan, Terry
Description: By allowing judgments based on a small number of exemplar documents to be applied to a larger number of unexamined documents, clustered presentation of search results represents an intuitively attractive possibility for reducing the cognitive resource demands on human users of information retrieval systems. However, clustered presentation of search results is sensible only to the extent that naturally occurring similarity relationships among documents correspond to topically coherent clusters. The Cluster Hypothesis posits just such a systematic relationship between document similarity and topical relevance. To date, experimental validation of the Cluster Hypothesis has proved problematic, with collection-specific results both supporting and failing to support this fundamental theoretical postulate. The present study consists of two computational information visualization experiments, representing a two-tiered test of the Cluster Hypothesis under adverse conditions. Both experiments rely on multidimensionally scaled representations of interdocument similarity matrices. Experiment 1 is a term-reduction condition, in which descriptive titles are extracted from Associated Press news stories drawn from the TREC information retrieval test collection. The clustering behavior of these titles is compared to the behavior of the corresponding full text via statistical analysis of the visual characteristics of a two-dimensional similarity map. Experiment 2 is a dimensionality reduction condition, in ...
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Computer support interactions: Verifying a process model of problem trajectory in an information technology support environment.

Computer support interactions: Verifying a process model of problem trajectory in an information technology support environment.

Date: December 2006
Creator: Strauss, Christopher Eric
Description: Observations in the information technology (IT) support environment and generalizations from the literature regarding problem resolution behavior indicate that computer support staff seldom store reusable solution information effectively for IT problems. A comprehensive model of the processes encompassing problem arrival and assessment, expertise selection, problem resolution, and solution recording has not been available to facilitate research in this domain. This investigation employed the findings from a qualitative pilot study of IT support staff information behaviors to develop and explicate a detailed model of problem trajectory. Based on a model from clinical studies, this model encompassed a trajectory scheme that included the communication media, characteristics of the problem, decision points in the problem resolution process, and knowledge creation in the form of solution storage. The research design included the administration of an extensive scenario-based online survey to a purposive sample of IT support staff at a medium-sized state-supported university, with additional respondents from online communities of IT support managers and call-tracking software developers. The investigator analyzed 109 completed surveys and conducted email interviews of a stratified nonrandom sample of survey respondents to evaluate the suitability of the model. The investigation employed mixed methods including descriptive statistics, effects size analysis, and content ...
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A comparison of communication motives of on-site and off-site students in videoconference-based courses

A comparison of communication motives of on-site and off-site students in videoconference-based courses

Date: August 2002
Creator: Massingill, K.B.
Description: The objective of this investigation is to determine whether student site location in an instructional videoconference is related to students' motives for communicating with their instructor. The study is based, in part, on the work of Martin et al. who identify five separate student-teacher communication motives. These motives, or dimensions, are termed relational, functional, excuse, participation, and sycophancy, and are measured by a 30-item questionnaire. Several communication-related theories were used to predict differences between on-site and off-site students, Media richness theory was used, foundationally, to explain differences between mediated and face-to-face communication and other theories such as uncertainty reduction theory were used in conjunction with media richness theory to predict specific differences.Two hundred eighty-one completed questionnaires were obtained from Education and Library and Information Science students in 17 separate course-sections employing interactive video at the University of North Texas during the Spring and Summer semesters of the 2001/2002 school year. This study concludes that off-site students in an instructional videoconference are more likely than their on-site peers to report being motivated to communicate with their instructor for participation reasons. If off-site students are more motivated than on-site students to communicate as a means to participate, then it may be important ...
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A Study of Graphically Chosen Features for Representation of TREC Topic-Document Sets

A Study of Graphically Chosen Features for Representation of TREC Topic-Document Sets

Access: Use of this item is restricted to the UNT Community.
Date: May 2000
Creator: Oyarce, Guillermo Alfredo
Description: Document representation is important for computer-based text processing. Good document representations must include at least the most salient concepts of the document. Documents exist in a multidimensional space that difficult the identification of what concepts to include. A current problem is to measure the effectiveness of the different strategies that have been proposed to accomplish this task. As a contribution towards this goal, this dissertation studied the visual inter-document relationship in a dimensionally reduced space. The same treatment was done on full text and on three document representations. Two of the representations were based on the assumption that the salient features in a document set follow the chi-distribution in the whole document set. The third document representation identified features through a novel method. A Coefficient of Variability was calculated by normalizing the Cartesian distance of the discriminating value in the relevant and the non-relevant document subsets. Also, the local dictionary method was used. Cosine similarity values measured the inter-document distance in the information space and formed a matrix to serve as input to the Multi-Dimensional Scale (MDS) procedure. A Precision-Recall procedure was averaged across all treatments to statistically compare them. Treatments were not found to be statistically the same and ...
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The adoption and use of electronic information resources by a non-traditional user group: Automotive service technicians.

The adoption and use of electronic information resources by a non-traditional user group: Automotive service technicians.

Date: May 2006
Creator: Almquist, Arne J.
Description: The growing complexity of machines has led to a concomitant increase in the amount and complexity of the information needed by those charged with servicing them. This, in turn, has led to a need for more robust methods for storing and distributing information and for a workforce more sophisticated in its use of information resources. As a result, the service trades have "professionalized," adopting more rigorous academic standards and developing ongoing certification programs. The current paper deals with the acceptance of advanced electronic information technology by skilled service personnel, specifically, automotive service technicians. The theoretical basis of the study is Davis' technology acceptance model. The purpose of the study is to determine the effects of three external factors on the operation of the model: age, work experience, and education/certification level. The research design is in two parts, beginning with an onsite observation and interviews to establish the environment. During the second part of the research process a survey was administered to a sample of automotive service technicians. Results indicated significant inverse relationships between age and acceptance and between experience and acceptance. A significant positive relationship was shown between education, particularly certification, and acceptance.
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A Framework of Automatic Subject Term Assignment: An Indexing Conception-Based Approach

A Framework of Automatic Subject Term Assignment: An Indexing Conception-Based Approach

Date: December 2006
Creator: Chung, EunKyung
Description: The purpose of dissertation is to examine whether the understandings of subject indexing processes conducted by human indexers have a positive impact on the effectiveness of automatic subject term assignment through text categorization (TC). More specifically, human indexers' subject indexing approaches or conceptions in conjunction with semantic sources were explored in the context of a typical scientific journal article data set. Based on the premise that subject indexing approaches or conceptions with semantic sources are important for automatic subject term assignment through TC, this study proposed an indexing conception-based framework. For the purpose of this study, three hypotheses were tested: 1) the effectiveness of semantic sources, 2) the effectiveness of an indexing conception-based framework, and 3) the effectiveness of each of three indexing conception-based approaches (the content-oriented, the document-oriented, and the domain-oriented approaches). The experiments were conducted using a support vector machine implementation in WEKA (Witten, & Frank, 2000). The experiment results pointed out that cited works, source title, and title were as effective as the full text, while keyword was found more effective than the full text. In addition, the findings showed that an indexing conception-based framework was more effective than the full text. Especially, the content-oriented and the ...
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Human concept cognition and semantic relations in the unified medical language system: A coherence analysis.

Human concept cognition and semantic relations in the unified medical language system: A coherence analysis.

Date: August 2007
Creator: Assefa, Shimelis G.
Description: There is almost a universal agreement among scholars in information retrieval (IR) research that knowledge representation needs improvement. As core component of an IR system, improvement of the knowledge representation system has so far involved manipulation of this component based on principles such as vector space, probabilistic approach, inference network, and language modeling, yet the required improvement is still far from fruition. One promising approach that is highly touted to offer a potential solution exists in the cognitive paradigm, where knowledge representation practice should involve, or start from, modeling the human conceptual system. This study based on two related cognitive theories: the theory-based approach to concept representation and the psychological theory of semantic relations, ventured to explore the connection between the human conceptual model and the knowledge representation model (represented by samples of concepts and relations from the unified medical language system, UMLS). Guided by these cognitive theories and based on related and appropriate data-analytic tools, such as nonmetric multidimensional scaling, hierarchical clustering, and content analysis, this study aimed to conduct an exploratory investigation to answer four related questions. Divided into two groups, a total of 89 research participants took part in two sets of cognitive tasks. The first group ...
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