College labortary is a knowledge-creating place. The members of labortary learn, use and create knowledge among it. If there is an effective way to manage those activities of lab, it will be made a great research results. So this study focuses on knowledge management of lab, and finds a simple, but useful framework which can be used by labortary manager. Labortary manager can this framework to figure out what activity of labortary should be emphasized. Knowledge management framework consider about the continuance of knowledge-acceding. A great labortary will keep its knowledge well-preserved. And avoid unnecessary knowledge-losting. We find knowledge of labortary can be seapared into two parts. One part is a core-knowledge and the other is applied-knowledge. The labortary manager should make a long term investment on core-knowledge and use project management for applied-knowledge.

n the knowledge-based economy , knowledge has became unique and inimitable resource which can create sustainable competitive advantage for corporations . Due to the severe improvement of technology , corporations can adopt many effective tools to manage their knowledge , therefore , knowledge management become the most popular subject for businesses . This study is based on the ¡¥socio-technical model¡¦ to observe 12 cases(all of them are foreign corporations) which is implementing knowledge management. Furthermore , this study use two dimensions-technological and social dimension- to analyze the components in all KM projects.Finally,this study generalize four kinds of KM projects , they are Integration¡BInteraction¡BHyper-connection and Exploitation .

Abstract Arthur Anderson Consulting spent thirty millions US dollars on corporate management research and development, which in turn developed ¡§The Best Corporate Workflow Knowledge Management System¡¨ for thousands of clients and consultants. This is the best example for successfully invented knowledge management. Not only foreign corporations are applying this resources management system to improve their competitiveness. Taipei government also applied knowledge management related measures facilitated by Microsoft Corporation in 2001. Taiwan Private Corporation obviously has already followed the trend on knowledge management. ITIS listed resources management system as one of the six significant techniques in 1996. The term ¡§Knowledge Management¡¨, has become a buzz word in corporate culture for a long time. Some observers said this is the trend for knowledge management in the future. Others think this is just an interim. Either one would be true; knowledge management seems to be one necessary means to replace other organizations restructuring direction. Currently, most of academic researchers in resources management primarily focus on application and subjective issues. There is a lack of study to prove whether knowledge management can improve organizational performance. The study brings organization performance and knowledge management into discussion order to figure out the effects from knowledge management and organization performance. With thorough investigation, there are several points that are worthy to note: 1. Different business strategy, industry category and life cycle devote differences in existing knowledge management culture and organization performance. (1) Those corporations which apply innovative strategies like knowledge management culture and organization performance usually have better satisfactory than those which apply other business strategies. 2. Knowledge management culture has tremendous effects on knowledge management performance and organization performance. 3. Knowledge management performance has partial mediatory effects on knowledge management culture and organization performance 4. Knowledge management strategy has partial moderator effects on knowledge management culture and intellectual capital management performance (1) If corporate intellectual capital is mostly explicit knowledge, corporate intellectual management performance will be better off when apply systematic strategy (2) If corporate intellectual capital is mostly tacit knowledge, corporate intellectual management performance will be better controlled by individualize strategy.

More and more corporations deem knowledge not only as their nuclear competitiveness when the face challenge, but also as an intangible asset. Each corporation has different demand and urgency for knowledge management. To realize its demand, you must have enough information first to understand its own knowledge. Therefore, some scholars advance a concept to use ¡§Knowledge Map¡¨ to depict the knowledge a corporation owns and thus help the corporation to find out the distribution and intensity of its knowledge. This study submits a set of methods to construct knowledge map and establishes dimensions of knowledge through literature review and experts¡¦ suggestions. Using this category and knowledge measurement index, a questionnaire evaluation distribution and intensity of a corporation¡¦s knowledge has been established. Academically, this questionnaire can be a reference for relevant studies about constructing knowledge map. In practice, corporations can also use this evaluation tool to conduct knowledge measurement, management and enhancement. In addition, this study has chosen five kinds of industries to conduct a survey and experimental research with this questionnaire. The result finds that there are different distributions and intensity of knowledge to certain extends between knowledge-intensive industries and non-knowledge-intensive industries. This could be a reference for further related study.

Thesis (M.S. in Computer Science)--Naval Postgraduate School, December 2002. / Thesis advisor(s): Neil C. Rowe, Xavier Maruyama. Includes bibliographical references (p. 105-109). Also available online.

Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, June 2003. / Thesis advisor(s): J.D. Fulp, Brian D. Steckler. Includes bibliographical references (p. 83). Also available online.

A knowledge base, such as Yago or DBpedia, can be modeled as a large graph with nodes and edges annotated with class and relationship labels. Recent work has studied how to make use of these rich information sources. In particular, meta-paths, which represent sequences of node classes and edge types between two nodes in a knowledge base, have been proposed for such tasks as information retrieval, decision making, and product recommendation. Current methods assume meta-paths are found by domain experts. However, in a large and complex knowledge base, retrieving meta-paths manually can be tedious and difficult. We thus study how to discover meta-paths automatically. Specifically, users are asked to provide example pairs of nodes that exhibit high proximity. We then investigate how to generate meta-paths that can best explain the relationship between these node pairs. Since this problem is computationally intractable, we propose a greedy algorithm to select the most relevant meta-paths. We also present a data structure to enable efficient execution of this algorithm. We further incorporate hierarchical relationships among node classes in our solutions. Finally, we propose an effective similarity join algorithm in order to generate more node pairs using these meta-paths. Extensive experiments on real knowledge bases show that our approach captures important meta-paths in an efficient and scalable manner. / published_or_final_version / Computer Science / Master / Master of Philosophy

published_or_final_version / Computer Science and Information Systems / Master / Master of Philosophy

Artificial Intelligence Lab, Department of MIS, University of Arizona / This article describes research in the application of a Kohonen Self-Organizing Map (SOM) to the problem of classification of electronic brainstorming output and an evaluation of the results. This research builds upon previous work in automating the meeting classification process using a Hopfield neural network. Evaluation of the Kohonen output comparing it with Hopfield and human expert output using the same set of data found that the Kohonen SOM performed as well as a human expert in representing term association in the meeting output and outperformed the Hopfield neural network algorithm. Recall of consensus meeting concepts and topics using the Kohonen algorithm was equivalent to that of the human expert.

Artificial Intelligence Lab, Department of MIS, University of Arizona / Law enforcement agencies across the United States have begun to focus on innovative knowledge management technologies to aid in the analysis of criminal information. The use of such technologies can serve as intelligence tools to combat criminal activity by aiding in case investigation or even by predicting criminal activity. Funded by the National Institute of Justice, the University of Arizonaâ s Artificial Intelligence Lab has teamed with the Tucson Police Department (TPD) to develop the Coplink Concept Space application, which serves to uncover relationships between different types of information currently existing in TPDâ s records management system. A small-scale field study involving real law enforcement personnel indicates that the use of Coplink Concept Space can reduce the time spent on the investigative task of linking criminal information as well as provide strong arguments for expanded development of similar knowledge management systems in support of law enforcement.