Dissertations / Theses: 'Knowledge acquisition (Expert systems) Expert systems (Computer science)'

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Trimble, John. "Knowledge acquisition and the system dynamics methodology." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/23337.

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Parsons, John Scott. "Automated knowledge acquisition for knowledge-based systems, KE-RIT : the Use of Kelleys' personal construct theory in the automation of knowledge acquisitions (theory and prototype) /." Online version of thesis, 1992. http://hdl.handle.net/1850/11056.

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Buck, Arlene J. "Automated knowledge acquisition tool for identification of generic tasks /." Online version of thesis, 1990. http://hdl.handle.net/1850/10577.

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Motta, Enrico. "Reusable components for knowledge modelling." N.p, 1997. http://ethos.bl.uk/.

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Corsar, David. "Developing knowledge-based systems through ontology mapping and ontology guided knowledge acquisition." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2009. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=25800.

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Silveira, Gregg. "Bidding a bridge hand : a thesis on knowledge acquisition and application /." Online version of thesis, 1991. http://hdl.handle.net/1850/10936.

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Jafar, Musa Jafar. "A tool for interactive verification and validation of rule-based expert systems." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184805.

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Interactive as well as Automatic Verification and Validation is valuable, especially when the size of a knowledge base grows and manual techniques are not feasible. It ensures the stability of the system and raises the confidence in its level of performance. In this dissertation I address the problem of verification and validation of rule based expert systems. It is a problem knowledge engineers have to deal with while building their expert systems to ensure the reliability, accuracy, and completeness of their knowledge bases. The objective of this research is to make it easy for expert systems developers to build the right system by proposing practical and simple methods for building verification and validation programs to insure the integrity and performance of large scale knowledge based systems.

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Youn, Bong-Soo. "Intelligent knowledge acquisition system /." Online version of thesis, 1989. http://hdl.handle.net/1850/10444.

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Liou, Yihwa Irene. "The use of a group decision support system environment for knowledge acquisition." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184717.

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Knowledge acquisition is not only the most important but also most difficult task knowledge engineers face when they begin to develop expert systems. One of the first problems they encounter is the need to identify at least one individual with appropriate expertise who is able and willing to participate in the development project. They must also be able to use a variety of techniques to elicit the knowledge that they require. These include such traditional knowledge acquisition methods as interviewing, thinking-aloud protocol analysis, on-site observation, and repertory grid analysis. As expert system applications have become more complex, knowledge engineers have found that they must work with and tap the domain knowledge of not one but several individuals. They have also discovered that the traditional methods do not work well in eliciting the knowledge residing in a group of individuals. The complexity of the systems, the difficulties inherent in working with multiple experts, and the lack of appropriate tools have combined to make the knowledge acquisition task even more arduous and time consuming. Group Decision Support Systems (GDSS) have been proven to be useful tools for improving the efficiency and effectiveness of a multiplicity of group activities. It would appear that by bringing experts together in a GDSS environment and using computer-based tools to facilitate group interaction and information exchange, a knowledge engineer could eliminate many of these problems. This research was designed to explore the possibility of using a GDSS environment to facilitate knowledge acquisition from multiple experts. The primary research question was "Does A GDSS environment facilitate the acquisition of knowledge from multiple experts?" The principle contributions of this research are (1) demonstration of the first use of a GDSS environment to elicit knowledge from multiple experts; (2) establishment of a methodology for knowledge acquisition in a GDSS environment; (3) development of process models for acquiring knowledge; (4) development of guidelines for designing and evaluating group support tools; and (5) recognition of some implications of using a computer-supported cooperative approach to extract knowledge from a group of experts. (Abstract shortened with permission of author.)

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Chronister, Julie Anne. "A domain-independent framework for structuring knowledge in the OFMspert architecture." Thesis, Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/25752.

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Kotnour, Timothy G. "Design, development, and testing of an automated knowledge-acquisition tool to aid problem solving, decision making, and planning." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-12302008-063800/.

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Chan, Christine Wai-Chi. "An empirical investigation of knowledge acquisition." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/27688.

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Expert systems are being developed despite the widely acknowledged problem of acquiring knowledge from experts. This study attempts to understand how knowledge acquisition is conducted in practice by investigating three expert system development projects. The variables examined include the expert, knowledge engineer, problem domain, organizational setting, the knowledge acquisition process, the expert system construction process, and the expert system itself. A case research methodology is adopted and data is collected through observation and taped protocol of knowledge acquisition sessions, post facto interviews with the participants involved, journalistic accounts kept by the subjects, and deliverables produced. Three cases on expert systems built in the domains of law of negligence, telephone line fault diagnostic, and wastewater treatment have been investigated. By juxtaposing the observations drawn from these cases with the findings reported in the literature, this inquiry contributes to the current understanding of the knowledge acquisition process. Business, Sauder School of Graduate

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Hasan, Irfan. "Machine learning techniques for automated knowledge acquisition in intelligent knowledge-based systems." Instructions for remote access. Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only, 1991. http://www.kutztown.edu/library/services/remote_access.asp.

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Thesis (M.S.)--Kutztown University of Pennsylvania, 1991. Source: Masters Abstracts International, Volume: 45-06, page: 3187. Abstract precedes thesis as [2] preliminary leaves. Typescript. Includes bibliographical references (leaves 102-104).

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Bhandari, Archna. "Enhancements to the frame virtual machine /." Online version of thesis, 1989. http://hdl.handle.net/1850/10581.

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Vazey, Megan Margaret. "Case-driven collaborative classification." Doctoral thesis, Australia : Macquarie University, 2007. http://hdl.handle.net/1959.14/264.

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Thesis (PhD) -- Macquarie University, Division of Information and Communication Sciences, Department of Computing, 2007. "Submitted January 27 2007, revised July 27 2007". Bibliography: p. 281-304. Mode of access: World Wide Web. xiv, 487 p., bound ill. (some col.)

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Huber, Bernard J. Jr. "A knowledge-based approach to understanding natural language. /." Online version of thesis, 1991. http://hdl.handle.net/1850/11053.

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Nikiforou, Savvas. "Selection of Clinical Trials: Knowledge Representation and Acquisition." Scholar Commons, 2002. https://scholarcommons.usf.edu/etd/1527.

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When medical researchers test a new treatment procedure, they recruit patients with appropriate health problems and medical histories. An experiment with a new procedure is called a clinical trial. The selection of patients for clinical trials has traditionally been a labor-intensive task, which involves matching of medical records with a list of eligibility criteria. A recent project at the University of South Florida has been aimed at the automation of this task. The project has involved the development of an expert system that selects matching clinical trials for each patient. If a patient's data are not sufficient for choosing a trial, the system suggests additional medical tests. We report the work on the representation and entry of the related selection criteria and medical tests. We first explain the structureof the system's knowledge base, which describes clinical trials and criteria for selecting patients. We then present an interface that enables a clinician to add new trials and selection criteria without the help of a programmer. Experiments show that the addition of a new clinical trial takes ten to twenty minutes, and that novice users learn the full functionality of the interface in about an hour.

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Pham, Son Bao Computer Science &amp Engineering Faculty of Engineering UNSW. "Incremental knowledge acquisition for natural language processing." Awarded by:University of New South Wales. School of Computer Science and Engineering, 2006. http://handle.unsw.edu.au/1959.4/26299.

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Linguistic patterns have been used widely in shallow methods to develop numerous NLP applications. Approaches for acquiring linguistic patterns can be broadly categorised into three groups: supervised learning, unsupervised learning and manual methods. In supervised learning approaches, a large annotated training corpus is required for the learning algorithms to achieve decent results. However, annotated corpora are expensive to obtain and usually available only for established tasks. Unsupervised learning approaches usually start with a few seed examples and gather some statistics based on a large unannotated corpus to detect new examples that are similar to the seed ones. Most of these approaches either populate lexicons for predefined patterns or learn new patterns for extracting general factual information; hence they are applicable to only a limited number of tasks. Manually creating linguistic patterns has the advantage of utilising an expert's knowledge to overcome the scarcity of annotated data. In tasks with no annotated data available, the manual way seems to be the only choice. One typical problem that occurs with manual approaches is that the combination of multiple patterns, possibly being used at different stages of processing, often causes unintended side effects. Existing approaches, however, do not focus on the practical problem of acquiring those patterns but rather on how to use linguistic patterns for processing text. A systematic way to support the process of manually acquiring linguistic patterns in an efficient manner is long overdue. This thesis presents KAFTIE, an incremental knowledge acquisition framework that strongly supports experts in creating linguistic patterns manually for various NLP tasks. KAFTIE addresses difficulties in manually constructing knowledge bases of linguistic patterns, or rules in general, often faced in existing approaches by: (1) offering a systematic way to create new patterns while ensuring they are consistent; (2) alleviating the difficulty in choosing the right level of generality when creating a new pattern; (3) suggesting how existing patterns can be modified to improve the knowledge base's performance; (4) making the effort in creating a new pattern, or modifying an existing pattern, independent of the knowledge base's size. KAFTIE, therefore, makes it possible for experts to efficiently build large knowledge bases for complex tasks. This thesis also presents the KAFDIS framework for discourse processing using new representation formalisms: the level-of-detail tree and the discourse structure graph.

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Gupta, Chaitali. "Web services query matchmaking with automated knowledge acquisition." Diss., Online access via UMI:, 2007.

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Schiavini, Marcos Melo. "Ferramenta de aquisição de conhecimento por modelos explicitos." [s.n.], 1991. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259552.

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Orientador: Marcio Luiz de Andrade Netto Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica Made available in DSpace on 2018-07-13T23:17:40Z (GMT). No. of bitstreams: 1 Schiavini_MarcosMelo_M.pdf: 13404383 bytes, checksum: fe85c025b2fd3ced855421c365c05348 (MD5) Previous issue date: 1991 Resumo: A tese apresenta uma contribuição para agilizar e organizar o processo de aquisição de conhecimento necessário ao desenvolvimento de sistemas Especialistas. Para tanto é descrita uma ferramenta computacional de auxilio ao processo de aquisição e engenharia de conhecimento - CAKE - que emprega um modelo do domínio durante sua interação com o especialista. O modelo é elaborado e representado com o auxílio do KADS, uma metodologia de construção de sistemas baseados em conhecimento [WIELINGA 89]. Com esse trabalho visamos obter uma ferramenta de aquisição de conhecimento que não apenas apresente as vantagens de empregar um modelo como também não tenha seu uso limitado a apenas um domínio particular. Para tanto concebemos uma ferramenta que deixa explícito o modelo utilizado para guiar o processo de aquisição de conhecimento. O engenheiro do conhecimento pode alterar a ferramenta para adequá-la às suas necessidades Abstract: The theses presents a contribution to facilitate and to organize the knowledge acquisition process necessary in the development of Expert Systems. A computer aided knowledge acquisition and engineering tool - CAKE -that employs a domain model in its interaction with the expert is proposed. The model is constructed and represented with the help of KADS, a methodology to construct knowledge based systems [WIELINGA 89]. It is intended, with this work, to obtain a knowledge acquisition tool that not only has the advantages of using a model, but also does not have its applicability limited to a particular domain. For this purpose, we have conceived a tool that leaves explicit the model used in guiding the knowledge acquisition processo The knowledge engineer is able to modify the tool to make the necessary adaptations for his further needs Mestrado Mestre em Engenharia Elétrica

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Alahakoon, Lakpriya Damminda 1968. "Data mining with structure adapting neural networks." Monash University, School of Computer Science and Software Engineering, 2000. http://arrow.monash.edu.au/hdl/1959.1/7987.

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Manaf, Afwarman 1962. "Constraint-based software for broadband networks planning : a software framework for planning with the holistic approach." Monash University, Dept. of Electrical and Computer Systems Engineering, 2000. http://arrow.monash.edu.au/hdl/1959.1/7754.

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Manaf, Afwarman 1962. "Constraint-based software for broadband networks planninga software framework for planning with the holistic approach /." Monash University, Dept. of Electrical and Computer Systems Engineering, 2000. http://arrow.monash.edu.au/hdl/1959.1/8163.

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Schwartz, Hansen A. "The acquisition of lexical knowledge from the web for aspects of semantic interpretation." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5028.

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Applications to word sense disambiguation, an aspect of semantic interpretation, are used to evaluate the contributions. Disambiguation systems which utilize semantically annotated training data are considered supervised. The algorithms of this dissertation are considered minimally-supervised; they do not require training data created by humans, though they may use human-created data sources. In the case of evaluating a database of common sense knowledge, integrating the knowledge into an existing minimally-supervised disambiguation system significantly improved results -- a 20.5\% error reduction. Similarly, the Web selectors disambiguation system, which acquires knowledge directly as part of the algorithm, achieved results comparable with top minimally-supervised systems, an F-score of 80.2\% on a standard noun disambiguation task. This work enables the study of many subsequent related tasks for improving semantic interpretation and its application to real-world technologies. Other aspects of semantic interpretation, such as semantic role labeling could utilize the same methods presented here for word sense disambiguation. As the Web continues to grow, the capabilities of the systems in this dissertation are expected to increase. Although the Web selectors system achieves great results, a study in this dissertation shows likely improvements from acquiring more data. Furthermore, the methods for acquiring a database of common sense knowledge could be applied in a more exhaustive fashion for other types of common sense knowledge. Finally, perhaps the greatest benefits from this work will come from the enabling of real world technologies that utilize semantic interpretation.; This work investigates the effective acquisition of lexical knowledge from the Web to perform semantic interpretation. The Web provides an unprecedented amount of natural language from which to gain knowledge useful for semantic interpretation. The knowledge acquired is described as common sense knowledge, information one uses in his or her daily life to understand language and perception. Novel approaches are presented for both the acquisition of this knowledge and use of the knowledge in semantic interpretation algorithms. The goal is to increase accuracy over other automatic semantic interpretation systems, and in turn enable stronger real world applications such as machine translation, advanced Web search, sentiment analysis, and question answering. The major contributions of this dissertation consist of two methods of acquiring lexical knowledge from the Web, namely a database of common sense knowledge and Web selectors. The first method is a framework for acquiring a database of concept relationships. To acquire this knowledge, relationships between nouns are found on the Web and analyzed over WordNet using information-theory, producing information about concepts rather than ambiguous words. For the second contribution, words called Web selectors are retrieved which take the place of an instance of a target word in its local context. The selectors serve for the system to learn the types of concepts that the sense of a target word should be similar. Web selectors are acquired dynamically as part of a semantic interpretation algorithm, while the relationships in the database are useful to stand-alone programs. A final contribution of this dissertation concerns a novel semantic similarity measure and an evaluation of similarity and relatedness measures on tasks of concept similarity. Such tasks are useful when applying acquired knowledge to semantic interpretation. ID: 029808979; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2011.; Includes bibliographical references (p. 141-160). Ph.D. Doctorate Electrical Engineering and Computer Science Engineering and Computer Science

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Cimiano, Philipp. "Ontology learning and population from text : algorithms, evaluation and applications /." New York, NY : Springer, 2006. http://www.loc.gov/catdir/enhancements/fy0824/2006931701-d.html.

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Sahay, Saurav. "Socio-semantic conversational information access." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42855.

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The main contributions of this thesis revolve around development of an integrated conversational recommendation system, combining data and information models with community network and interactions to leverage multi-modal information access. We have developed a real time conversational information access community agent that leverages community knowledge by pushing relevant recommendations to users of the community. The recommendations are delivered in the form of web resources, past conversation and people to connect to. The information agent (cobot, for community/ collaborative bot) monitors the community conversations, and is 'aware' of users' preferences by implicitly capturing their short term and long term knowledge models from conversations. The agent leverages from health and medical domain knowledge to extract concepts, associations and relationships between concepts; formulates queries for semantic search and provides socio-semantic recommendations in the conversation after applying various relevance filters to the candidate results. The agent also takes into account users' verbal intentions in conversations while making recommendation decision. One of the goals of this thesis is to develop an innovative approach to delivering relevant information using a combination of social networking, information aggregation, semantic search and recommendation techniques. The idea is to facilitate timely and relevant social information access by mixing past community specific conversational knowledge and web information access to recommend and connect users with relevant information. Language and interaction creates usable memories, useful for making decisions about what actions to take and what information to retain. Cobot leverages these interactions to maintain users' episodic and long term semantic models. The agent analyzes these memory structures to match and recommend users in conversations by matching with the contextual information need. The social feedback on the recommendations is registered in the system for the algorithms to promote community preferred, contextually relevant resources. The nodes of the semantic memory are frequent concepts extracted from user's interactions. The concepts are connected with associations that develop when concepts co-occur frequently. Over a period of time when the user participates in more interactions, new concepts are added to the semantic memory. Different conversational facets are matched with episodic memories and a spreading activation search on the semantic net is performed for generating the top candidate user recommendations for the conversation. The tying themes in this thesis revolve around informational and social aspects of a unified information access architecture that integrates semantic extraction and indexing with user modeling and recommendations.

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Cheng, Iunniang. "Hybrid Methods for Feature Selection." TopSCHOLAR®, 2013. http://digitalcommons.wku.edu/theses/1244.

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Feature selection is one of the important data preprocessing steps in data mining. The feature selection problem involves finding a feature subset such that a classification model built only with this subset would have better predictive accuracy than model built with a complete set of features. In this study, we propose two hybrid methods for feature selection. The best features are selected through either the hybrid methods or existing feature selection methods. Next, the reduced dataset is used to build classification models using five classifiers. The classification accuracy was evaluated in terms of the area under the Receiver Operating Characteristic (ROC) curve (AUC) performance metric. The proposed methods have been shown empirically to improve the performance of existing feature selection methods.

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Nasuti, Frank W. "Knowledge Acquisition using Multiple Domain Experts in the Design and Development of an Expert System for Disaster Recovery Planning." NSUWorks, 2000. http://nsuworks.nova.edu/gscis_etd/746.

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The increasing dependence of organizations on data processing to perform the basic functions of corporate America, together with recent disasters such as earthquakes, tornadoes and hurricanes have awakened management to the realization that they require Disaster Recovery Plans (DRP) and Business Resumption Services (BRS). To address these needs, organizations frequently consult with outsiders to help them develop disaster recovery and business resumption plans. Although consultants and vendors specializing in disaster recovery planning are available, their number is limited and the quality of their services may be questionable. In addition, the information gathering process by consultants is a time consuming process and in most cases requires the use of multiple vendor experts, as well as various resources within the customer's organization. This research proposed, as a solution to address these deficiencies, the design and development of an expert system to assist in the determination of the needs of an organization for disaster recovery and business resumption services, as well as the evaluation of existing plans. This research resulted in the design of an expert system for disaster recovery planning. It included the knowledge acquisition processes necessary to elicit information from multiple domain experts. The specific goals of this research were: (1) knowledge acquisition specific to the problems of using multiple domain experts; (2) design and development of a prototype expert system for disaster recovery planning; and (3) validation of the prototype expert system.

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Thorpe, Patrick J. "Knowledge acquisition for expert systems in fibre production." Thesis, Loughborough University, 1992. https://dspace.lboro.ac.uk/2134/13749.

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The aim of the study described in this thesis is to investigate the application of expert system technology to acrylic fibre production, with a particular emphasis on knowledge acquisition requirements. In doing so, it is intended to provide an understanding of the requirements and appropriate techniques for the effective application of expert systems in the process industries; The scope of the study is limited to process fault administration which involves detecting, diagnosing arid correcting abnormalities in process operation. A methodology is provided for the systematic development of expert systems within the defined area of application. An important phase in the development methodology is that of expert system specification. This involves an analysis of expert behaviour and the specification of expert system functionality: In order to assist system specification, generic knowledge types and human expert activities have been identified within the context of process fault administration. Knowledge acquisition is discussed in terms of the requirements during each phase of the proposed development methodology. A detailed review is given of the available techniques for knowledge acquisition and an assessment is presented of the most appropriate techniques to apply during each phase of the methodology. A new knowledge acquisition technique is described. The technique is designed to record knowledge of process operation and process fault diagnosis. It is based on a hierarchical decomposition of the process in terms of process objectives. Two complementary forms of knowledge representation are produced: a hierarchy diagram which shows the dependency relationships between individual process objectives and a task statement table which provides a more. detailed explanation of the objectives. Finally, three. case studies are described in which the techniques described in the thesis were applied and developed.

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Carton, Patrice. "Acquisition et reconnaissance de messages graphiques, un systeme expert dans un systeme eao." Paris 6, 1988. http://www.theses.fr/1988PA066121.

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Apres l'analyse des principales composantes du dialogue graphique mettent en relation un auteur et un apprenant par l'intermediaire d'un didacticiel, la representation et la manipulaption des objets graphiques sont abordees sous leurs deux aspects indissociables, production et reconnaissance

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Plant, Robert T. "A methodology for knowledge acquisition in the development of expert systems." Thesis, University of Liverpool, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240378.

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Cernik, Jacob A. "Framework for an expert system generator." Akron, OH : University of Akron, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=akron1240579896.

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Thesis (M.S.)--University of Akron, Dept. of Computer Science, 2009. "May, 2009." Title from electronic thesis title page (viewed 11/18/2009) Advisor, Chien-Chung Chan; Committee members, Kathy J. Liszka, Zhong-Hui Duan; Department Chair, Wolfgang Pelz; Dean of the College, Chand Midha; Dean of the Graduate School, George R. Newkome. Includes bibliographical references.

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Raghavendra, Archana. "(Semi) automatic wrapper generation for production systems by knowledge inference." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000345.

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Thesis (M.S.)--University of Florida, 2001. Title from title page of source document. Document formatted into pages; contains viii, 73 p.; also contains graphics. Includes vita. Includes bibliographical references.

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Ng, Fung Fai. "A knowledge analysis model for knowledge engineering in the construction industry /." [Hong Kong : University of Hong Kong], 1990. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12980286.

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Jacobson, Guy. "The development of an expert system shell with a mixed knowledge representation, explicit control of reasoning and a truth maintenance system." Master's thesis, University of Cape Town, 1988. http://hdl.handle.net/11427/15897.

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Bibliography: pages 227-236. This thesis concentrates on several important issues in expert system research, namely - representation of knowledge - control of reasoning - implementation of non-monotonic logics via truth maintenance systems. There are three parts to this thesis. PART1 covers the background research in the above mentioned topics. PART2 discusses the WISE system and the way in which research from PART1 was applied to the development of the WISE shell. PART3 considers the features of other expert system shells.

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Cooper, Robert D. "A knowledge-based system for hominid fossils." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0004420.

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Hui, Chi-kwong. "Knowledge-based approach to roster scheduling problems /." [Hong Kong : University of Hong Kong], 1988. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12362840.

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Liou, Kan-Lee. "A knowledge-based system for generation capability dispatch during bulk power system restoration /." Thesis, Connect to this title online; UW restricted, 1993. http://hdl.handle.net/1773/6049.

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Gilson, Robert. "Minimizing input acquisition costs in a Bayesian belief network-based expert system /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/8763.

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Bergman, Harris L. "Knowledge-based magnetic resonance angiography." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/18247.

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Iong, Kuok Hong. "A knowledge-based system for maintenance in Macau hotel operations." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950606.

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Aggarwal, Ajay K. "On developing an expert system : a knowledge base for GP formulation and analysis /." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-07132007-143148/.

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Heltne, Mari Montri. "Knowledge-based support for management of end user computing resources: Issues in knowledge elicitation and flexible design." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184429.

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Effective resource management requires tools and decision aides to help determine users' needs and appropriate assignment. The goal of this research was to design, implement, and test technological tools that, even in a dynamic environment, effectively support the matching of users and resources. The context of the investigation is the Information Center, the structure used to manage and control the computing resources demanded by end users. The major contributions of the research lie in two areas: (1) the development and use of a knowledge acquisition called Resource Attribute Charts (RAC), which allow for the structured definition of the resources managed by the IC, and (2) the design, implementation, validation, and verification of the transportability of Information Center Expert, a system that supports the activities of the IC personnel. Prototyping, the system development methodology commonly used in software engineering, was used to design the general architecture of the knowledge acquisition tools, the knowledge maintenance tool, and the expert system itself. The knowledge acquisition tools, RAC, were used to build the knowledge base of ICE (Information Center Expert). ICE was installed at two corporate sites, its software recommendations were validated, and its transportability from one location to another was verified experimentally. The viability of a rule-based consultation system as a mechanism for bringing together knowledge about users, problems, and resources for the purpose of effective resource management was demonstrated.

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Newcomb, Philip H. "The Knowledge Integration Tool : a knowledge based system development environment." Virtual Press, 1988. http://liblink.bsu.edu/uhtbin/catkey/546143.

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The current generation of conventional software productivity tools is likely to achieve at most a factor of two reduction in life-cycle costs by the early 1990s. With projected order of magnitude increases in system complexity and size, a far greater improvement (factor of 10 or higher) is needed. Significant cost reductions and qualitative improvements for many kinds of applications can be demonstrated by means of a knowledge-based integrated tool environment that both adheres to the software development standards of the software development organization and promotes rapid development of high quality knowledge-based systems and their integration within highly specialized application environmentsThis investigation has led to the construction of the (K)nowledge (I)ntegration (T)ool, an operational testbed and architectural framework for the rapid development of highly extensible artificial intelligence systems and environments that both support the conventional life-cycle paradigm and facilitate the evolution of a knowledge-based life-cycle paradigm. A knowledge-based system is a programming system characterized by the ease with which objects, the relationships between them, and higher-level concepts composed of such objects and relationships, are manipulated and presented graphically and textually. The KIT consists of: knowledge-based integrated tool environments, integrated assemblages of knowledge-based systems that possess a man-machine interface that adjusts to the needs of individual users by means of user-profile and application-specific information; and a knowledge-based based system development environment, a knowledge-based system that supports the construction and maintenance of software systems, and acts as a mechanism to improve the reliability of the software development process. This thesis describes the synthesis of these system types in the KIT.Following the KIT's successful prototyping and demonstration, it is being scaled up and incrementally developed to provide life-cycle automation capabilities for a roboticized factory of a major aerospace company. In this thesis the historical and theoretical foundations, capabilities, current and planned uses of the KIT are described.Key Words: Artificial Intelligence, Knowledge Base, Life-cycle Automation, Knowledge-Based Environment, Knowledge-Based Systems, Knowledge-Based Project Management, Knowledge-Based Configuration Management, Knowledge-Based System Development, Knowledge-Based Software Engineering. Department of Computer Science

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El, Kordy Omar Mohamed. "The application of multimedia and knowledge based systems to computer aided engineering instruction." Thesis, Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/21415.

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吳蓬輝 and Fung Fai Ng. "A knowledge analysis model for knowledge engineering in the construction industry." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B31232358.

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Cuddihy, Paul. "Compiling GEN-X knowledge bases into "C" /." Online version of thesis, 1991. http://hdl.handle.net/1850/10792.

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Antonio, Nicholas. "Intelligent interface design for a question answering system." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000303.

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Thesis (M.S.)--University of Florida, 2001. Title from title page of source document. Document formatted into pages; contains x, 58 p.; also contains graphics. Includes vita. Includes bibliographical references.

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Kim, Tag Gon. "A knowledge-based environment for hierarchical modelling and simulation." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184380.

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Hierarchical, modular specification of discrete-event models offers a basis for reusable model bases and hence for enhanced simulation of truly varied design alternatives. This dissertation develops a knowledge-based environment for hierarchical modelling and simulation of discrete-event systems as the major part of a longer, ongoing research project in artificial intelligence and distributed simulation. In developing the environment, a knowledge representation framework for modelling and simulation, which unifies structural and behavioral knowledge of simulation models, is proposed by incorporating knowledge representation schemes in artificial intelligence within simulation models. The knowledge base created using the framework is composed of a structural knowledge base called entity structure base and a behavioral knowledge base called model base. The DEVS-Scheme, a realization of DEVS (Discrete Event System Specification) formalism in a LISP-based, object-oriented environment, is extended to facilitate the specification of behavioral knowledge of models, especially for kernel models that are suited to model massively parallel computer architectures. The ESP-Scheme, a realization of entity structure formalism in a frame-theoretic representation, is extended to represent structural knowledge of models and to manage it in the structural knowledge base. An advantage of the knowledge-based environment is that it is capable of automatically synthesizing hierarchical, modular models from model base resident components defined by the extended DEVS-Scheme under the direction of structural knowledge using the extended ESP-Scheme. Since both implementation and the underlying LISP language are accessible to the user, the result is a medium capable of combining simulation modelling and artificial intelligence techniques. To show the power of the environment, modelling and simulation methodology in the environment are presented using an example of modelling a hypercube computer architecture. Applications of the environment to knowledge-based computer systems design, communications network design, and diagnostic expert systems design are discussed. Since structure descriptions in the environment are susceptible to run-time modification, the environment provides a convenient basis for developing variable family and variable structure simulation models such as adaptive computer architectures. Thus, the environment represents a significant step toward realizing powerful concepts of system-theoretic based formalisms. The environment also serves as a medium for developing distributed simulation architectures for hierarchical, modular discrete-event models.

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Vinze, Ajay Shreekrishna. "Knowledge-based support for software selection in information centers: Design criteria, development issues, and empirical evaluation." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184417.

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An information center (IC) is described as an organization designed to help end users help themselves. ICs are expected to provide several services to end users. The services can be summarized as: consultation, distribution and trouble-shooting. The research is focused on a specific consultation activity: software selection. Providing support for selection and evaluation of software for users constitutes 91.5 percent of a typical IC's daily workload. In the last decade, ICs have proved successful in managing software resources for organizations. The initial success of ICs has increased user expectations and demand for the services offered but, because ICs are considered cost centers in most organizations, there is growing pressure for them to accomplish more with fewer resources. The research hypothesis is that the knowledge and methodologies of IC consultants, concerning software selection, as well as relevant institutional policies, can be represented in a knowledge base. A knowledge-based system ICE (Information Center Expert) to assist users with software selection has been developed and evaluated in the study reported here. The development of ICE used two main design criteria: maintainability and transportability. Maintainability was defined as the ability to support frequent updating of the software supported by an IC. This is important because new software tools are introduced in the market at a very rapid rate; to stay competitive an IC must be able continually to adapt to this dynamic environment. Transportability was considered necessary to make ICE usable in many different ICs, each supporting a different set of software. The transportability feature allows different ICs to individualize the system to meet their own site-specific needs. Validation studies were conducted to test the appropriateness of the recommendations made by ICE, using "blind" validation procedures in which scenarios (in case form) were presented to consultants. The cases were selected to represent problems frequently taken to an IC. Two sets of solutions, those offered by consultants and those provided by ICE, were then presented to experts who were asked to judge the appropriateness of each solution to a case without knowing its source. To test the comparative advantages of using ICE or IC consultants to obtain assistance with software selection a laboratory experiment was conducted. A hypothetical construct called "Consultation Effectiveness" was used, which included measures for "user satisfaction" with the process, as well as measures for the "task basis" and the "recommendation basis" for evaluating a consultation session.

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Dissertations / Theses on the topic 'Knowledge acquisition (Expert systems) Expert systems (Computer science)'

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