Dissertations / Theses on the topic 'Knowledge based sysems'

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1

Kronberg, F., A. Weiner, T. Morgan, B. Stroozas, E. Girouard, A. Hopkins, L. Wong, M. James, J. Kneubuhl, and R. F. Malina. "Document Retrieval Triggered by Spacecraft Anomaly: Using the Kolodner Case-Based Reasoning (CBR) Paradigm to Design a Fault-Induced Response System." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611459.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California
We report on the initial design and development of a prototype computer-mediated response system, the Fault Induced Document Officer (FIDO), at the UC Berkeley Center for EUV Astrophysics (CEA) Extreme Ultraviolet Explorer project (EUVE). Typical 24x7 staffed spacecraft operations use highly skilled expert teams to monitor current ground systems and spacecraft state for responding to anomalous ground system and spacecraft conditions. Response to ground system error messages and spacecraft anomalies is based on knowledge of nominal component behavior and the evaluation of relevant telemetry by the team. This type of human-mediated operation is being replaced by an intelligent software system to reduce costs and to increase performance and reliability. FIDO is a prototype software application that will provide automated retrieval and display of documentation for operations staff. Initially, FIDO will be applied for ground systems. Later implementations of FIDO will target spacecraft systems. FIDO is intended to provide system state summary, links to relevant documentation, and suggestions for operator responses to error messages. FIDO will provide the operator with near realtime expert assistance and access to necessary information. This configuration should allow the resolution of many anomalies without the need for on-site intervention by a skilled controller or expert.
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Valdes, Francisco Javier. "Manufacturing compliance analysis for architectural design: a knowledge-aided feature-based modeling framework." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/54973.

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Given that achieving nominal (all dimensions are theoretically perfect) geometry is challenging during building construction, understanding and anticipating sources of geometric variation through tolerances modeling and allocation is critical. However, existing building modeling environments lack the ability to support coordinated, incremental and systematic specification of manufacturing and construction requirements. This issue becomes evident when adding multi-material systems produced off site by different vendors during building erection. Current practices to improve this situation include costly and time-consuming operations that challenge the relationship among the stakeholders of a project. As one means to overcome this issue, this research proposes the development of a knowledge-aided modeling framework that integrates a parametric CAD tool with a system modeling application to assess variability in building construction. The CAD tool provides robust geometric modeling capabilities, while System Modeling allows for the specification of feature-based manufacturing requirements aligned with construction standards and construction processes know-how. The system facilitates the identification of conflicting interactions between tolerances and manufacturing specifications of building material systems. The expected contributions of this project are the representation of manufacturing knowledge and tolerances interaction across off-site building subsystems to identify conflicting manufacturing requirements and minimize costly construction errors. The proposed approach will store and allocate manufacturing knowledge as Model-Based Systems Engineering (MBSE) design specifications for both single and multiple material systems. Also, as new techniques in building design and construction are beginning to overlap with engineering methods and standards (e.g. in-factory prefabrication), this project seeks to create collaborative scenarios between MBSE and Building Information Modeling (BIM) based on parametric, simultaneous, software integration to reduce human-to-data translation errors, improving model consistency among domains. Important sub-stages of this project include the comprehensive review of modeling and allocation of tolerances and geometric deviations in design, construction and engineering; an approach for model integration among System Engineering models, mathematical engines and BIM (CAD) models; and finally, a demonstration computational implementation of a System-level tolerances modeling and allocation approach.
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Roth-Berghofer, Thomas R. "Knowledge maintenance of case-based reasoning systems : the SIAM methodology /." Berlin : Akad. Verl.-Ges. Aka, 2003. http://www.loc.gov/catdir/toc/fy0804/2008299389.html.

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4

Lindner, Eli. "A framework for an innovative knowledge management system in knowlegde-based firms." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/71391/1/Eli_Lindner_Thesis.pdf.

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This study examined how a knowledge management system can bring innovative behaviour to a knowledge based firm. The study developed a framework for such a system by investigating what components should comprise the system and how they should interact. The outcome of the study is a recommended framework of components, tools & methods to effectively implement a knowledge management system.
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5

Aikenhead, Michael. "Legal knowledge-based systems : new directions in system design." Thesis, Durham University, 2001. http://etheses.dur.ac.uk/4384/.

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This thesis examines and critiques the concept of 'legal knowledge-based’ systems. Work on legal knowledge-based systems is dominated by work in 'artificial intelligence and law’. It seeks to automate the application of law and to automate the solution of legal problems. Automation however, has proved elusive. In contrast to such automation, this thesis proposes the creation of legal knowledge-based systems based on the concept of augmentation of legal work. Focusing on systems that augment legal work opens new possibilities for system creation and use. To inform how systems might augment legal work, this thesis examines philosophy, psychology and legal theory for information they provide on how processes of legal reasoning operate. It is argued that, in contrast to conceptions of law adopted in artificial intelligence and law, 'sensemaking' provides a useful perspective with which to create systems. It is argued that visualisation, and particularly diagrams, are an important and under considered element of reasoning and that producing systems that support diagramming of processes of legal reasoning would provide useful support for legal work. This thesis reviews techniques for diagramming aspects of sensemaking. In particular this thesis examines standard methods for diagramming arguments and methods for diagramming reasoning. These techniques are applied in the diagramming of legal judgments. A review is conducted of systems that have been constructed to support the construction of diagrams of argument and reasoning. Drawing upon these examinations, this thesis highlights the necessity of appropriate representations for supporting reasoning. The literature examining diagramming for reasoning support provides little discussion of appropriate representations. This thesis examines theories of representation for insight they can provide into the design of appropriate representations. It is concluded that while the theories of representation that are examined do not determine what amounts to a good representation, guidelines for the design and choice of representations can be distilled. These guidelines cannot map the class of legal knowledge-based systems that augment legal sensemaking, they can however, be used to explore this class and to inform construction of systems.
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Watson, Ian Duncan. "A methodology for knowledge analysis." Thesis, University of Liverpool, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237515.

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7

Winfield, Michael James. "Multi-aspectual knowledge elicitation." Thesis, University of Salford, 2000. http://usir.salford.ac.uk/26965/.

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This work examines one of the major stumbling blocks of knowledge based systems development, namely knowledge elicitation. The challenge is a fundamental one of eliciting knowledge from domain experts including tacit knowledge. This thesis argues that, in the past, knowledge elicitation has been limited since elicitation has been performed from one or a limited number of aspects. A method is needed to assist in providing a pluralistic approach to knowledge elicitation that will aid multi-aspectual viewpoints of the domain knowledge to be elicited. MAKE (Multi-Aspectual Knowledge Elicitation) is such a pluralistic method. Using the work of Herman Dooyeweerd (1955) MAKE is developed from a sound philosophical basis. Two levels of knowledge are elicited using MAKE. The method starts by building a top-level knowledge map that covers all of the knowledge aspects and provides an overview of the domain. Such an overview determines the complexity of the domain allowing a knowledge based systems developer to see the effects of taking a minimalist approach to the development; that is the top-level map may be used to help define the scope of a system. The second level involves detailed knowledge elicitation. Using a process of abstraction, the concepts defined in each aspect are refined to a sufficiently detailed level to enable a system to be built. The resulting knowledge forms an ontological view of the domain knowledge. The empirical work adopting a case study approach has demonstrated that: MAKE can be used by people who are not necessarily versed in artificial intelligence techniques or in the philosophy of Dooyeweerd. MAKE has shown itself to be adaptable across a very varied set of domains MAKE is adaptable and useful for eliciting tacit knowledge. It is argued that MAKE indicates a change of direction from methods that are currently in use.
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Jones, S. R. "A comparison of knowledge elicitation techniques." Thesis, Cardiff University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368015.

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King, Brent. "Automatic extraction of knowledge from design data." Thesis, University of Sunderland, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307964.

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Lagos, Nikolaos. "Knowledge-based product support systems." Thesis, Cardiff University, 2007. http://orca.cf.ac.uk/54573/.

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This research helps bridge the gap between conventional product support, where the support system is considered as a stand-alone application, and the new paradigm of responsive one, where the support system frequently communicates with its environment and reacts to stimuli. This new paradigm would enable product support knowledge to be captured, stored, processed, and updated automatically, being delivered to the users when, where and in the form they need it. The research reported in this thesis first defines Product Support Systems (PRSSs) as electronic means that provide accurate and up-to-date information to the user in a coherent and personalised manner. Product support knowledge is then identified as the integration of product, task, user, and support documentation knowledge. Next, the thesis focuses on an ontology-based model of the structure, relations, and attributes of product support knowledge. In that model product support virtual documentation (PSVD) is presented as an aggregation of Information Objects (IOs) and Information Object Clusters (IOCs). The description of PSVD is followed by an analysis of the relation between IOs, IOCs, and domain knowledge. Then, the thesis builds on the ontology-based representation of product support knowledge and explores the synergy between product support, problem solving, and knowledge engineering. As a result, a structured problem solving approach is introduced that combines case-based adaptation and model-based generation techniques. Based on that approach a knowledge engineering framework for product support systems is developed. A conceptual model of context-aware product support systems that extends the framework is then introduced. The conceptual model includes an ontology-based representation of knowledge related to the users, their activities, the support environment, and the device being used. An approach to semi-automatically integrating design and documentation data is also proposed as part of context-aware product support systems development process.
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Conlon, Thomas Hugh. "Beyond rules : development and evaluation of knowledge acquisition systems for educational knowledge-based modelling." Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/7514.

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The technology of knowledge-based systems undoubtedly offers potential for educational modelling, yet its practical impact on today's school classrooms is very limited. To an extent this is because the tools presently used in schools are EMYCIN -type expert system shells. The main argument of this thesis is that these shells make knowledge-based modelling unnecessarily difficult and that tools which exploit knowledge acquisition technologies empower learners to build better models. We describe how such tools can be designed. To evaluate their usability a model-building course was conducted in five secondary schools. During the course pupils built hundreds of models in a common range of domains. Some of the models were built with an EMYCIN -type shell whilst others were built with a variety of knowledge acquisition systems. The knowledge acquisition systems emerged as superior in important respects. We offer some explanations for these results and argue that although problems remain, such as in teacher education, design of classroom practice, and assessment of learning outcomes, it is clear that knowledge acquisition systems offer considerable potential to develop improved forms of educational knowledge-based modelling.
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12

Sevenler, Korhan. "Knowledge-based systems approach to forming sequence design for cold forging /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487266362337857.

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13

Du, Kui-Fu. "Knowledge-based well test interpretation." Thesis, Heriot-Watt University, 1990. http://hdl.handle.net/10399/895.

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Yoon, Changwoo. "Domain-specific knowledge-based informational retrieval model using knowledge reduction." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011560.

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15

Finch, Ian. "Intelligent explanation from expert systems." Thesis, University of Liverpool, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316575.

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Chao, K. M. "Knowledge sharing and reuse for engineering design." Thesis, University of Sunderland, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361204.

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Hogan, Paul Anthony. "A knowledge-based system for automated fault analysis of hydraulic systems." Thesis, University of Bath, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332776.

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Llibre, Lawrence Michael. "A prototype explanation facility for rule-based and/or object-oriented knowledge-based systems." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/19547.

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Pilkington, R. "Knowledge-based systems in topic learning." Thesis, University of Leeds, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380324.

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May, John Hendy Robert. "Knowledge-based systems in engineering safety." Thesis, University of Bristol, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327937.

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21

Nguyen, Hai Hoang. "Truth maintenance in knowledge-based systems." Thesis, University of Nottingham, 2014. http://eprints.nottingham.ac.uk/28434/.

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Truth Maintenance Systems (TMS) have been applied in a wide range of domains, from diagnosing electric circuits to belief revision in agent systems. There also has been work on using the TMS in modern Knowledge-Based Systems such as intelligent agents and ontologies. This thesis investigates the applications of TMSs in such systems. For intelligent agents, we use a “light-weight” TMS to support query caching in agent programs. The TMS keeps track of the dependencies between a query and the facts used to derive it so that when the agent updates its database, only affected queries are invalidated and removed from the cache. The TMS employed here is “light-weight” as it does not maintain all intermediate reasoning results. Therefore, it is able to reduce memory consumption and to improve performance in a dynamic setting such as in multi-agent systems. For ontologies, this work extends the Assumption-based Truth Maintenance System (ATMS) to tackle the problem of axiom pinpointing and debugging in ontology-based systems with different levels of expressivity. Starting with finding all errors in auto-generated ontology mappings using a “classic” ATMS [23], we extend the ATMS to solve the axiom pinpointing problem in Description Logics-based Ontologies. We also attempt this approach to solve the axiom pinpointing problem in a more expressive upper ontology, SUMO, whose underlying logic is undecidable.
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22

Bader, J. L. "Knowledge-based systems and Software Engineering." Thesis, Aston University, 1988. http://publications.aston.ac.uk/15143/.

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The work described was carried out as part of a collaborative Alvey software engineering project (project number SE057). The project collaborators were the Inter-Disciplinary Higher Degrees Scheme of the University of Aston in Birmingham, BIS Applied Systems Ltd. (BIS) and the British Steel Corporation. The aim of the project was to investigate the potential application of knowledge-based systems (KBSs) to the design of commercial data processing (DP) systems. The work was primarily concerned with BIS's Structured Systems Design (SSD) methodology for DP systems development and how users of this methodology could be supported using KBS tools. The problems encountered by users of SSD are discussed and potential forms of computer-based support for inexpert designers are identified. The architecture for a support environment for SSD is proposed based on the integration of KBS and non-KBS tools for individual design tasks within SSD - The Intellipse system. The Intellipse system has two modes of operation - Advisor and Designer. The design, implementation and user-evaluation of Advisor are discussed. The results of a Designer feasibility study, the aim of which was to analyse major design tasks in SSD to assess their suitability for KBS support, are reported. The potential role of KBS tools in the domain of database design is discussed. The project involved extensive knowledge engineering sessions with expert DP systems designers. Some practical lessons in relation to KBS development are derived from this experience. The nature of the expertise possessed by expert designers is discussed. The need for operational KBSs to be built to the same standards as other commercial and industrial software is identified. A comparison between current KBS and conventional DP systems development is made. On the basis of this analysis, a structured development method for KBSs in proposed - the POLITE model. Some initial results of applying this method to KBS development are discussed. Several areas for further research and development are identified.
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Sripada, Suryanarayana Murthy. "Temporal reasoning in deductive databases." Thesis, Imperial College London, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387841.

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Bowker, Lynne. "A multidimensional approach to classification in terminology : working within a computational framework." Thesis, University of Manchester, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389257.

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MacKinnon, Lachlan Mhor. "Intelligent query manipulation for heterogeneous databases." Thesis, Heriot-Watt University, 1998. http://hdl.handle.net/10399/1252.

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Harrington, J. "An intelligent negotiation based framework to support concurrent engineering principles in the engineering design of process plant." Thesis, Cranfield University, 1996. http://dspace.lib.cranfield.ac.uk/handle/1826/4667.

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The traditional approach to the engineering design of process plant is highly sequential with decisions made early in the design phase having a large knock on effect to downstream design processes. A lack of consideration to downstream concerns will either result in design re-work or compromise. Concurrent engineering has been proposed as a design method for resolving the problems inherent in the sequential design process by bringing the different engineering disciplines together at key decision points in the design process, thereby preventing design problems before they occur. Computational support for concurrent engineering aims to develop tools to help team members in sharing knowledge and keep track of the others' needs, constraints, decisions and assumptions [Cutkosky, et al. 93]. Such systems would enable engineering disciplines from each of the design life-cycle stages to communicate and review design strategy. As a group they would be able to explore design alternatives in search of a good solution [Talukdar, Fenves 89]. Knowledge based systems can support the engineering design process by providing advice that accounts for the global concerns. It is argued that such a system should be distributed, due to the problems in maintaining a single large knowledge base, and computational power required to operate a single system. However, wherever expertise is distributed, conflict exists that has to be resolved. The aims of this research are to identify the needs of a computational support environment to aid concurrent engineering design, and to develop a framework to enable disparate design systems to cooperate and produce designs acceptable from the global viewpoint. The 'needs' were identified from a study of the engineering design process, and a detailed analysis into the design and selection of pumping systems to provide a rich example of the problems faced in a specific design process. Cooperation is achieved through 'Negotiation', which resolves conflicts between the various objectives involved in design and is a central theme of this research. Through the provision of a framework to support negotiation the aim is to provide the basis on which individual design programs can cooperate to produce rational designs from a global perspective, thereby bringing life cycle design advice to the earlier design stages.
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Stansfield, Mark Hugh. "The effect of computer-based technology in attempting to enhance subjective method of knowledge elicitation." Thesis, University of the West of Scotland, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337234.

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Liang, Qixiong. "An intelligent strategy planning tool for decision support." Thesis, Queen's University Belfast, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300611.

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Moreira, Dilvan de Abreu. "Agents : a distributed client/server system for leaf cell generation." Thesis, University of Kent, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262372.

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Momoh, Jinnah Samuel. "Decision support system for river water quality forecasting and management." Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246651.

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Fowell, Susan Patricia. "The performance modelling of preferential choice : a knowledge engineering approach." Thesis, Leeds Beckett University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335892.

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Hunt, John. "A task specific integration architecture for multiple problem solver, model-based, diagnostic expert systems." Thesis, Aberystwyth University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308391.

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Ye, Peng. "An object-oriented architecture for job shop scheduling." Thesis, University of Ulster, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391532.

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Harrison, Alan. "The integration of multiple and diverse knowledge representation paradigms using a blackboard architecture." Thesis, Open University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261389.

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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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Tomlinson, Christine Mary. "The analysis and synthesis of distributed knowledge : using the Johnson Methodology." Thesis, Brunel University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357699.

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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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Caccetta, Peter A. "Remote sensing, geographic information systems (GIS) and Bayesian knowledge-based methods for monitoring land condition." Thesis, Curtin University, 1997. http://hdl.handle.net/20.500.11937/868.

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This thesis considers various aspects of the use of remote sensing, geographical information systems and Bayesian knowledge-based expert system technologies for broad-scale monitoring of land condition in the Western Australian wheat belt.The use of remote sensing technologies for land condition monitoring in Western Australia had previously been established by other researchers, although significant limitations in the accuracy of the results remain. From a monitoring perspective, this thesis considers approaches for improving the accuracy of land condition monitoring by incorporating other data into the interpretation process.Digital elevation data provide one potentially useful source of information. The use of digital elevation data are extensively considered here. In particular, various methods for deriving variables relating to landform from digital elevation data and remotely sensed data are reviewed and new techniques derived.Given that data from a number of sources may need to be combined in order to produce accurate interpretations of land use/condition, methods for combining data are reviewed. Of the many different approaches available, a Bayesian approach is adopted.The approach adopted is based on relatively new developments in probabilistic expert systems. This thesis demonstrates how these new developments provide a unified framework for uniting traditional classification methods and methods for integrating information from other spatial data sets, including data derived from digital elevation models, remotely sensed imagery and human experts.Two applications of the techniques are primarily considered. Firstly, the techniques are applied to the task of salinity mapping/ monitoring and compared to existing techniques. Large improvements are apparent. Secondly, the techniques are applied to salinity prediction, an application not previously considered by other researchers in this domain. The results are encouraging. Finally limitations of the approach are discussed.
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Gillies, Alan Cameron. "A problem solving strategy based on knowledge-based systems." Thesis, University of Central Lancashire, 1992. http://clok.uclan.ac.uk/19013/.

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The historical development of knowledge based systems (KBS) from artificial intelligence (AT) has led to a number of characteristics which isolate knowledge based systems from the rest of software development. In particular, it has led to the growth of 'stand alone' systems. This thesis argues that this has restricted the use of KBS to a narrow range of problems, and has reduced the effectiveness of the consequent solutions. By considering first a specific problem in some depth, the thesis seeks to develop an alternative approach, where KBS is considered as simply another software technology to be used within an integrated solution. The problem considered is the automatic analysis of photoelastic fringe patterns, and KBS methods are employed alongside conventional image processing techniques to produce an integrated solution. The conventional algorithmic solution is first constructed and evaluated. This solution, having proved partially successful, is then enhanced by the use of KBS techniques to provide a full solution. From this specific example, a framework for integration is derived. This framework is tested in an unrelated application to consider whether the approach adopted has more general utility than one specific class of problem. This problem was the provision of decision support for business planning based upon market research. The resulting strategy and design is described together with details of how the system was implemented under the supervision of the author. The thesis concludes with an evaluation of the work and its conthbution to knowledge in the twin areas of the specific solutions and the underlying methods.
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Yalcinalp, L. Umit. "Meta-programming for knowledge-based systems in Prolog." Case Western Reserve University School of Graduate Studies / OhioLINK, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=case1055947333.

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Sherwell, Brian W. "EXPLANATIONS IN CONTEXTUAL GRAPHS: A SOLUTION TO ACCOUNTABILITY IN KNOWLEDGE BASED SYSTEMS." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3050.

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In order for intelligent systems to be a viable and utilized tool, a user must be able to understand how the system comes to a decision. Without understanding how the system arrived at an answer, a user will be less likely to trust its decision. One way to increase a user's understanding of how the system functions is by employing explanations to account for the output produced. There have been attempts to explain intelligent systems over the past three decades. However, each attempt has had shortcomings that separated the logic used to produce the output and that used to produce the explanation. By using the representational paradigm of Contextual Graphs, it is proposed that explanations can be produced to overcome these shortcomings. Two different temporal forms of explanations are proposed, a pre-explanation and a post-explanation. The pre-explanation is intended to help the user understand the decision making process. The post-explanation is intended to help the user understand how the system arrived at a final decision. Both explanations are intended to help the user gain a greater understanding of the logic used to compute the system's output, and thereby enhance the system's credibility and utility. A prototype system is constructed to be used as a decision support tool in a National Science Foundation research program. The researcher has spent the last year at the NSF collecting the knowledge implemented in the prototype system.
M.S.Cp.E.
Department of Electrical and Computer Engineering
Engineering and Computer Science
Computer Engineering
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42

Sharma, Sunil. "Case based knowledge acquisition and refinement." Thesis, University of Aberdeen, 1988. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU021146.

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This thesis reports research undertaken in two rather distinct phases. Firstly, the thesis reports a study of cognitive processes involved in the task of 'concept identification': given sample instances of a concept, the task is to identify the concept. A computer model which successfully reproduces responses similar to those observed in human subjects is described. Secondly, this thesis reports the design of a case-based learning system REFINER. The system is a 'Learning Apprentice System' for differential diagnosis tasks, to aid the transfer of knowledge from a domain expert to a computer. Knowledge is obtained from the expert(s) in the form of cases which have been diagnosed or classified, and not in the traditional form of classification 'rules' which the experts often find hard to specify. The REFINER program is therefore a Knowledge Acquisiton System which helps an expert refine his knowledge in a more 'natural' way than having rules 'extracted'. Further, the system has the ability to point out that two classifications are not distinct, and can then suggest to the user ways in which the inconsistency might be resolved. Although the system has been used most extensively in the medical domain, it is essentially domain independent.
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Erdani, Yuliadi. "Acquisition of Human Expert Knowledge for Rule-based Knowledge-based Systems using Ternary Grid." Gerhard-Mercator-Universitaet Duisburg, 2005. http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-06282005-101136/.

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Knowledge acquisition is the most important part in the development of expert system. It deals with extracting knowledge from sources of expertise and transferring it to a knowledge base. Knowledge acquisition is major research field in knowledge engineering and still the most difficult and error-prone task for knowledge engineer while building an expert system. This situation influences the performance of the knowledge due to the quality of information and the reduction of error possibility. It is not an easy task to acquire knowledge from human expert not trained in knowledge engineering. The performance of the knowledge is performed by interaction between experts and knowledge engineer or machine during acquisition process. In most rule-based expert system, building of rules can easily be done. Knowledge Engineer or expert does not have to do any work specifying rules and how they are linked to each other. Sometime the knowledge engineer or expert can reference rules or facts that have not yet been created. It seems to be a simple and an instant work. The problem due to the performance of the knowledge will not occur until the number of rules is getting higher. Some problem may appear in the form of inconsistent rules, unreachable rules, redundant rule and rotating chain of rules. In order to solve that problem and to achieve that mentioned performance, a rule-based knowledge acquisition system using Ternary Grid is developed. This system acquires knowledge from human expert using grid or matrix system. Ternary Grid represents a model of rule-based knowledge in a grid or matrix format.
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44

Suraweera, Pramuditha. "Widening the Knowledge Acquisition Bottleneck for Intelligent Tutoring Systems." Thesis, University of Canterbury. Computer Science and Software Engineering, 2007. http://hdl.handle.net/10092/1150.

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Empirical studies have shown that Intelligent Tutoring Systems (ITS) are effective tools for education. However, developing an ITS is a labour-intensive and time-consuming process. A major share of the development effort is devoted to acquiring the domain knowledge that accounts for the intelligence of the system. The goal of this research is to reduce the knowledge acquisition bottleneck and enable domain experts to build the domain model required for an ITS. In pursuit of this goal an authoring system capable of producing a domain model with the assistance of a domain expert was developed. Unlike previous authoring systems, this system (named CAS) has the ability to acquire knowledge for non-procedural as well as procedural tasks. CAS was developed to generate the knowledge required for constraint-based tutoring systems, reducing the effort as well as the amount of expertise in knowledge engineering and programming required. Constraint-based modelling is a student modelling technique that assists in somewhat easing the knowledge acquisition bottleneck due to the abstract representation. CAS expects the domain expert to provide an ontology of the domain, example problems and their solutions. It uses machine learning techniques to reason with the information provided by the domain expert for generating a domain model. A series of evaluation studies of this research produced promising results. The initial evaluation revealed that the task of composing an ontology of the domain assisted with the manual composition of a domain model. The second study showed that CAS was effective in generating constraints for the three vastly different domains of database modelling, data normalisation and fraction addition. The final study demonstrated that CAS was also effective in generating constraints when assisted by novice ITS authors, producing constraint sets that were over 90% complete.
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45

Chung, Yichu, and Andreas Jonsson. "Making Knowledge Permanent in Temporary Structures : The Role of Incentives for Knowledge Integration in Project-based Organizations." Thesis, Linköpings universitet, Företagsekonomi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110355.

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Knowledge is increasingly seen as the organization’s most important asset. The knowledge-based view dictates that by understanding the importance of knowledge as a competitive advantage, and leveraging it, organizations can compete in a differentiated and sustainably advantageous way. In project-based organizations where individuals with different specialized knowledge meet and create new knowledge together, this might be seen as especially valuable. Despite having a big impact on both the academic and managerial world, organizations seem struggle when actually faced with the practical implications of integrating knowledge in the firms.This problem has been highlighted both in research, as well as in an empirical pre-study. Understanding where this problem stems from is an important step in finding a way to solve it. Following the idea that the use of incentive systems has long been an effective way of steering behavior in organizational members, we wonder what the role of incentive systems is in the context of knowledge integration in project-based organizations.   Thus, the aim of this study is to investigate and analyze if missing or deficient incentive systems is the reason why project-based organizations struggle with knowledge integration.
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46

Mick, Alan A. "Knowledge based text indexing and retrieval utilizing case based reasoning /." Online version of thesis, 1994. http://hdl.handle.net/1850/11715.

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47

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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48

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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49

Velasquez, M. E. "Internet-based solutions to support distributed manufacturing." Thesis, Durham University, 2000. http://etheses.dur.ac.uk/4372/.

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With the globalisation and constant changes in the marketplace, enterprises are adapting themselves to face new challenges. Therefore, strategic corporate alliances to share knowledge, expertise and resources represent an advantage in an increasing competitive world. This has led the integration of companies, customers, suppliers and partners using networked environments. This thesis presents three novel solutions in the tooling area, developed for Seco tools Ltd, UK. These approaches implement a proposed distributed computing architecture using Internet technologies to assist geographically dispersed tooling engineers in process planning tasks. The systems are summarised as follows. TTS is a Web-based system to support engineers and technical staff in the task of providing technical advice to clients. Seco sales engineers access the system from remote machining sites and submit/retrieve/update the required tooling data located in databases at the company headquarters. The communication platform used for this system provides an effective mechanism to share information nationwide. This system implements efficient methods, such as data relaxation techniques, confidence score and importance levels of attributes, to help the user in finding the closest solutions when specific requirements are not fully matched In the database. Cluster-F has been developed to assist engineers and clients in the assessment of cutting parameters for the tooling process. In this approach the Internet acts as a vehicle to transport the data between users and the database. Cluster-F is a KD approach that makes use of clustering and fuzzy set techniques. The novel proposal In this system is the implementation of fuzzy set concepts to obtain the proximity matrix that will lead the classification of the data. Then hierarchical clustering methods are applied on these data to link the closest objects. A general KD methodology applying rough set concepts Is proposed In this research. This covers aspects of data redundancy, Identification of relevant attributes, detection of data inconsistency, and generation of knowledge rules. R-sets, the third proposed solution, has been developed using this KD methodology. This system evaluates the variables of the tooling database to analyse known and unknown relationships in the data generated after the execution of technical trials. The aim is to discover cause-effect patterns from selected attributes contained In the database. A fourth system was also developed. It is called DBManager and was conceived to administrate the systems users accounts, sales engineers’ accounts and tool trial monitoring process of the data. This supports the implementation of the proposed distributed architecture and the maintenance of the users' accounts for the access restrictions to the system running under this architecture.
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Harley, Linda Rosemary. "The application of a knowledge based system to micro-electrode guided neurosurgery." Thesis, Available online, Georgia Institute of Technology, 2004, 2004. http://etd.gatech.edu/theses/available/etd-02042004-131540/unrestricted/harley%5Flinda%5Fr%5F200405%5Fms.pdf.

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Thesis (M. S.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2004.
Dr. Michael Hunter, Committee Member ; Dr. Alexander M. Puzrin, Committee Member ; Dr. Nelson Baker, Committee Chair. Includes bibliographical references.
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