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Thesis (LL. M.)--Judge Advocate General's School, United States Army, 1975. / "April 1975." Typescript. Includes bibliographical references. Also issued in microfiche.

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Reviews why it is important to search blogs for competitive intelligence, reputation management, and brand image management. Describes the structure of blogs and how to format searches in several search engines to effectively retrieve this information.

This study explores the differential validity of SJT responding formats (i.e., selecting a response to an SJT item). It was hypothesized that the SJT on which respondents identified the best and worst options would be related to cognitive ability because this type of SJT has a high cognitive load and thus acts like a knowledge test. It was also hypothesized that the SJT on which respondents rated the effectiveness of each option on a Likert scale would be related to personality because it taps into test taker?s behavioral tendencies. Results show that the best-and-worst SJT was not related to measures of education (a proxy for cognitive ability) or measures of personality. The SJT on which respondents rated the effectiveness of each option on a Likert scale was related to measures of personality but not education. Finally, because the Likert SJT has a greater number of responses, it was rescored as following the best-and-worst SJT keying. This converted SJT was related to neither measures of education nor measures of personality. The choose best-and-worst SJT significantly predicted performance, while the Likert SJT and a Likert SJT converted to a best-and-worst SJT did not predict performance.

This study explores the differential validity of SJT responding formats (i.e., selecting a response to an SJT item). It was hypothesized that the SJT on which respondents identified the best and worst options would be related to cognitive ability because this type of SJT has a high cognitive load and thus acts like a knowledge test. It was also hypothesized that the SJT on which respondents rated the effectiveness of each option on a Likert scale would be related to personality because it taps into test taker?s behavioral tendencies. Results show that the best-and-worst SJT was not related to measures of education (a proxy for cognitive ability) or measures of personality. The SJT on which respondents rated the effectiveness of each option on a Likert scale was related to measures of personality but not education. Finally, because the Likert SJT has a greater number of responses, it was rescored as following the best-and-worst SJT keying. This converted SJT was related to neither measures of education nor measures of personality. The choose best-and-worst SJT significantly predicted performance, while the Likert SJT and a Likert SJT converted to a best-and-worst SJT did not predict performance.

Artificial Intelligence Lab, Department of MIS, University of Arizona / Information science researchers have recently turned to new artificial intelligence-based inductive learning techniques including neural networks, symbolic learning and genetic algorithms. An overview of the new techniques and their usage in information science research is provided. The algorithms adopted for a hybrid genetic algorithms and neural nets based system, called GANNET, are presented. GANNET performed concept (keyword) optimization for user-selected documents during information retrieval using the genetic algorithms. It then used the optimized concepts to perform concept exploration in a large network of related concepts through the Hopfield net parallel relaxation procedure. Based on a test collection of about 3,000 articles from DIALOG and an automatically created thesaurus, and using Jaccard's score as a performance measure, the experiment showed that GANNET improved the Jaccard's scores by about 50% and helped identify the underlying concepts that best describe the user-selected documents.

Artificial Intelligence Lab, Department of MIS, University of Arizona / Crime and police report information is rapidly migrating from paper records to automated records management databases. Most mid and large sized police agencies have such systems that provide access to information by their own personnel, but lack any efficient manner by which to provide that information to other agencies. Criminals show no regard for jurisdictional boundaries and in fact take advantage of the lack of communication across jurisdictions. Federal standards initiatives such as the National Incident Based Reporting System (NIBRS, US Department of Justice 1998), are attempting to provide reporting standards to police agencies to facilitate future reporting and information sharing among agencies as these electronic reporting systems become more widespread. We integrated platform-independence, stability, scalability, and an intuitive graphical user interface to develop the COPLINK system, which is currently being deployed at Tucson Police Department (TPD). User evaluations of the application allowed us to study the impact of COPLINK on law enforcement personnel as well as to identify requirements for improving the system and extending the project. We are currently in the process of extending the functionality of COPLINK in several areas. These include textual analysis, collaboration, visualization and geo-mapping.

Thesis (M.A.)--Rowan University, 2008. / Typescript. Includes bibliographical references.