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Windisch, Markus. "Cyber Knowledge Systems." Fraunhofer-Institut für Verfahrenstechnik und Verpackung IVV, 2018. https://slub.qucosa.de/id/qucosa%3A32447.
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Prudnik, D. O. "Knowledge management systems." Thesis, Київський національний університет технологій та дизайну, 2018. https://er.knutd.edu.ua/handle/123456789/10771.
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Schlobach, Klaus Stefan. "Knowledge discovery in hybrid knowledge representation systems." Thesis, King's College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272023.
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Patelli, Alina. "Knowledge-centric autonomic systems." Thesis, Aston University, 2017. http://publications.aston.ac.uk/37574/.
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Autonomic computing revolutionised the commonplace understanding of proactiveness in the digital world by introducing self-managing systems. Built on top of IBM’s structural and functional recommendations for implementing intelligent control, autonomic systems are meant to pursue high level goals, while adequately responding to changes in the environment, with a minimum amount of human intervention. One of the lead challenges related to implementing this type of behaviour in practical situations stems from the way autonomic systems manage their inner representation of the world. Specifically, all the components involved in the control loop have shared access to the system’s knowledge, which, for a seamless cooperation, needs to be kept consistent at all times. A possible solution lies with another popular technology of the 21st century, the Semantic Web,and the knowledge representation media it fosters, ontologies. These formal yet flexible descriptions of the problem domain are equipped with reasoners, inference tools that, among other functions, check knowledge consistency. The immediate application of reasoners in an autonomic context is to ensure that all components share and operate on a logically correct and coherent “view” of the world. At the same time, ontology change management is a difficult task to complete with semantic technologies alone, especially if little to no human supervision is available. This invites the idea of delegating change management to an autonomic manager, as the intelligent control loop it implements is engineered specifically for that purpose. Despite the inherent compatibility between autonomic computing and semantic technologies,their integration is non-trivial and insufficiently investigated in the literature. This gap represents the main motivation for this thesis. Moreover, existing attempts at provisioning autonomic architectures with semantic engines represent bespoke solutions for specific problems (load balancing in autonomic networking, deconflicting high level policies, informing the process of correlating diverse enterprise data are just a few examples). The main drawback of these efforts is that they only provide limited scope for reuse and cross-domain analysis (design guidelines, useful architectural models that would scale well across different applications and modular components that could be integrated in other systems seem to be poorly represented). This work proposes KAS (Knowledge-centric Autonomic System), a hybrid architecture combining semantic tools such as: • an ontology to capture domain knowledge,• a reasoner to maintain domain knowledge consistent as well as infer new knowledge, • a semantic querying engine,• a tool for semantic annotation analysis with a customised autonomic control loop featuring: • a novel algorithm for extracting knowledge authored by the domain expert, • “software sensors” to monitor user requests and environment changes, • a new algorithm for analysing the monitored changes, matching them against known patterns and producing plans for taking the necessary actions, • “software effectors” to implement the planned changes and modify the ontology accordingly. The purpose of KAS is to act as a blueprint for the implementation of autonomic systems harvesting semantic power to improve self-management. To this end, two KAS instances were built and deployed in two different problem domains, namely self-adaptive document rendering and autonomic decision-support for career management. The former case study is intended as a desktop application, whereas the latter is a large scale, web-based system built to capture and manage knowledge sourced by an entire (relevant) community. The two problems are representative for their own application classes –namely desktop tools required to respond in real time and, respectively, online decision support platforms expected to process large volumes of data undergoing continuous transformation – therefore, they were selected to demonstrate the cross-domain applicability (that state of the art approaches tend to lack) of the proposed architecture. Moreover, analysing KAS behaviour in these two applications enabled the distillation of design guidelines and of lessons learnt from practical implementation experience while building on and adapting state of the art tools and methodologies from both fields. KAS is described and analysed from design through to implementation. The design is evaluated using ATAM (Architecture Trade off Analysis Method) whereas the performance of the two practical realisations is measured both globally as well as deconstructed in an attempt to isolate the impact of each autonomic and semantic component. This last type of evaluation employs state of the art metrics for each of the two domains. The experimental findings show that both instances of the proposed hybrid architecture successfully meet the prescribed high-level goals and that the semantic components have a positive influence on the system’s autonomic behaviour.
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Munro, David. "Knowledge-sharing on knowledge management systems : the role of organisational and system support /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18588.pdf.
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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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Lakkaraju, Sai Kiran. "Synchronising subjective knowledge and knowledge management systems in organisations." View thesis, 2008. http://handle.uws.edu.au:8081/1959.7/31670.
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Thesis (Ph.D.)--University of Western Sydney, 2008."A thesis submitted to the University of Western Sydney, College of Health and Science, School of Computing and Mathematics in fulfilment of the requirements for the degree of Doctor of Philosophy." Includes bibliography.
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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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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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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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Dogan, Huseyin. "Managing knowledge for capability engineering." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/14098.
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The enterprises that deliver capability are trying to evolve into through-life businesses by shifting away from the traditional pattern of designing and manufacturing successive generations of products, towards a new paradigm centred on support, sustainability and the incremental enhancements of existing capabilities from technology insertions and changes to process. The provision of seamless through-life customer solutions depends heavily on management of information and knowledge between, and within the different parts of the supply chain enterprise. This research characterised and described Capability Engineering (CE) as applied in the defence enterprise and identified to BAE Systems important considerations for managing knowledge within that context. The terms Capability Engineering and Through Life Capability Management (TLCM), used synonymously in this thesis, denote a complex evolving domain that requires new approaches to better understand the different viewpoints, models and practices. The findings and novelty of this research is demonstrated through the following achievements: • Defined the problem space that Requirements Engineers can use in through-life management projects. • Made a contribution to the development of models for Systems Architects to enable them to incorporate 'soft' systems within their consideration. • Independently developed a TLCM activity model against which BAE Systems validated the BAE Systems TLCM activity model, which is now used by UK Ministry of Defence (MoD). • Developed, and published within INCOSE1, the INCOSE Capability Engineering ontology. • Through the novel analysis of a directly applicable case study, highlighted to Functional Delivery Managers the significance of avoiding the decoupling of information and knowledge in the context of TLCM. • Through experimentation and knowledge gained within this research, identified inadequacies in the TechniCall (rapid access to experts) service which led to the generation of requirements for an improved service which is now being implemented by BAE Systems. The results showed that managing knowledge is distinct when compared to information management. Over-reliance on information management in the absence of tacit knowledge can lead to a loss in the value of the information, which can result in unintended consequences. Capability is realised through a combination of component systems and Capability Engineering is equivalent to a holistic perspective of Systems Engineering. A sector-independent Capability Engineering ontology is developed to enable semantic interoperability between different domains i.e. defence, rail and information technology. This helped to better understand the dependencies of contributing component systems within defence, and supported collaboration across different domains. Although the evaluation of the ontology through expert review has been accomplished; the ontology, KM analysis framework and soft systems transitioning approach developed still need to undergo independent verification and validation. This requires application to other case studies to check and exploit their suitability. This Engineering Doctorate research has been disseminated through a number of peer reviewed publications.
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Braf, Ewa. "Knowledge demanded for action : studies of knowledge mediation in organisations /." Linköping : Department of Computor and Information Science, Linköping University, 2004. http://www.bibl.liu.se/liupubl/disp/disp2004/infs10s.pdf.
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Motta, Enrico. "Reusable components for knowledge modelling." N.p, 1997. http://ethos.bl.uk/.
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Khor, Sebastian W. "A fuzzy knowledge map framework for knowledge representation /." Access via Murdoch University Digital Theses Project, 2006. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20070822.32701.
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Baumeister, Joachim. "Agile development of diagnostic knowledge systems." Doctoral thesis, [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=979655226.
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Miller, David R. "Towards knowledge-base systems for translators." Thesis, University of Ottawa (Canada), 1994. http://hdl.handle.net/10393/9811.
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The aim of this thesis is twofold. First, on a theoretical level, it aims to examine knowledge from two standpoints: translation theory and artificial intelligence (AI). Second, on a more practical level, it aims to explore the applicability of research in the branch of AI known as knowledge engineering to the eventual development of knowledge-base systems for translators (KBSTs). The "opaqueness" of a text, or its resistance to understanding, often reflects a difference between the translator's knowledge profile and the knowledge profile that the author of the original text assumed for his reader. Consequently, knowledge maximization can be considered a viable translation strategy for countering opaqueness. When translators work without sufficient knowledge, they are forced to fall back on a "transcoding" or word-bound approach, which, although it sometimes produces acceptable results, is likely to produce an unidiomatic text and is much more prone to serious translation errors. The goal of a KBST, therefore, must be to provide enough knowledge to allow the translator to engage his "interpretative" or meaning-based mode of translating. A knowledge-management system developed at the University of Ottawa called CODE (Conceptually Oriented Description Environment) offers a knowledge acquisition and retrieval environment that can be adapted to the needs of translators. A knowledge base on stock-market options, called optionCODE, was developed by the present author using the system to explore the principle and problems of designing and using KBSTs. An informal experiment demonstrated that translators using this knowledge base as their sole source of knowledge to translate a text concerning options performed as well as, if not better than, a translator using traditional sources. (Abstract shortened by UMI.)
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Åkerblom, Pontus, and Joacim Nilsson. "Knowledge Management Systems Issues Within Organizations." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-64014.
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The aim of this study is to locate if there are some common problems connected to knowledge management systems (KMSs) within organizations. This thesis begins with an introduction to knowledge management (KM) and knowledge management systems, followed by a presentation of previous research in the field of KM problematics. To find these possible issues that may prevent an effective use of KMSs within organizations, we will study contemporary literature and perform some complementary interviews. The questions formulated are addressed to participants from the organization Tieto, at their office in Lund. The questions are kept to a restricted number to gather replies that collect the main answers of relevance. The results from the literature review are then compared to the interviews. The main conclusion of this study is that the organizational culture may affect the possible occurrence of KMSs that suffer from usability problems, which causes the knowledge sharing to be inadequate. Finally; a picture of the problem areas concerning KMSs within organizations arise and some resolutions along with recommendations are presented.
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Rubin, Eran. "Domain knowledge representation in information systems." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/15229.
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Information Systems and software embed knowledge about the domain in which they
operate. This knowledge can be very useful to various stakeholders in the organization,
including developers, users, and other organizational workers. However, it is not readily accessible and usually intertwined with implementation details. Making this knowledge available would be beneficial for several reasons. In particular: 1) software often needs to be updated to reflect changes in the organization; this causes the embedded knowledge to stay current; 2) the actual system development process often incorporates the use of methods and techniques to properly record domain knowledge; 3) knowledge embedded in
software is already available in a digital format; and 4) the tools typically used to manage system development (e.g. source and version controls) can be effective in management and control of knowledge. However, despite all these potential advantages, embedded knowledge is usually not readily accessible to knowledge seekers in the organization. This situation impedes the possible utilization of software-embedded knowledge. The objective of this dissertation is to develop ways of making software-embedded domain knowledge available, accessible, and usable to organizational users. The research challenge
is to identify what domain knowledge is involved in systems development, to find ways to formalize it, and to demonstrate that it can be explicitly represented in developed systems. The research covers three main aspects: 1) identifying and formalizing embedded domain knowledge obtained in systems development processes; 2) developing methods for representing this knowledge formally to facilitate its use during and after system development and, 3) demonstrate how this knowledge can be explicitly represented in the final IS implementation code. The first aspect, namely the nature of embedded knowledge, is addressed by analyzing the requirements engineering, systems analysis, and enterprise modeling literature in order to identify the main constructs used for domain representation. Formalization is then accomplished using ontological analysis. The feasibility of explicit representation is attained by suggesting a Model Driven Architectures (MDA) where the formalized knowledge is used to drive processing in the system.
Usability and usefulness of the ideas are demonstrated in two ways. First, case studies and examples show how domain knowledge acquired during extant methods of systems analysis can be represented using the proposed representation constructs. Second, a sample system design, supporting explicit domain knowledge representation in system code, is proposed and demonstrated via a simple prototype.
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Riccucci, Simone <1978>. "Knowledge management in intelligent tutoring systems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/916/.
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In the last years, Intelligent Tutoring Systems have been a very successful way for improving
learning experience. Many issues must be addressed until this technology can be defined mature.
One of the main problems within the Intelligent Tutoring Systems is the process of contents
authoring: knowledge acquisition and manipulation processes are difficult tasks because they
require a specialised skills on computer programming and knowledge engineering. In this thesis we
discuss a general framework for knowledge management in an Intelligent Tutoring System and
propose a mechanism based on first order data mining to partially automate the process of
knowledge acquisition that have to be used in the ITS during the tutoring process. Such a
mechanism can be applied in Constraint Based Tutor and in the Pseudo-Cognitive Tutor.
We design and implement a part of the proposed architecture, mainly the module of knowledge
acquisition from examples based on first order data mining. We then show that the algorithm can be
applied at least two different domains: first order algebra equation and some topics of C
programming language. Finally we discuss the limitation of current approach and the possible
improvements of the whole framework.
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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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Sylvester, Igor Andrade. "A hierarchical systems knowledge representation framework." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41675.
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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.Includes bibliographical references (p. 57-58).
We present the design and implementation of a framework for storing and analysing knowledge about engineering systems. The hierarchical entity-relation-attribute model is useful for large data sets, in which it can abstract details so that human users are able to reason about the data. The time-series extension to the model abstracts temporal details. Finally, the implementation of the model includes an execution engine that can simulate the model in one time-slice or as a function of time.
by Igor Andrade Sylvester.
M.Eng.
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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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Tanner, Michael Clay. "Explaining knowledge systems : justifying diagnostic conclusions /." The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487599963591483.
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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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Ritchie, Shawn W. 1965. "Rescuing endangered knowledge : a systems approach." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9752.
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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 1999.Includes bibliographical references (leaves 80-81).
This research involves the identification and definition of"Endangered Knowledge" and outlines a tool that a firm can use to identify, capture, and reutilizes endangered knowledge. Endangered knowledge (EK) is valuable knowledge firms acquire during product development that has a high potential to be erased from a firm's memory. Two primary factors contribute to endangered knowledge. First, the firm does not believe the knowledge has future value, or does not take the time to correctly assess the value of the knowledge. Product development teams are usually under a great deal of time and financial pressures, and once a particular piece of knowledge has been acquired and applied to a specific process, it is quickly discarded. Second, an individual in a firm may realize that a piece of knowledge could have value to their team or another team in the future, but have no system in place which will enable them to effectively store and communicate that knowledge. In both cases, the knowledge is lost, ultimately costing the firm time and money to replace the lost learning. This paper can be broken up into four sections. The first section includes an introduction to endangered knowledge and provides two case studies where different product development teams wasted time and money because they were unable to access knowledge acquired by other members in their firm. The second section defines the terminology, (knowledge vs. information, learning vs. teaching, transfer vs. transform) and highlights knowledge management (KM) initiatives in existence today. The third section outlines five essential steps a knowledge management system must address in order to be effective. The final section introduces a new methodology product development teams can use to capture and reuse, or "rescue" endangered knowledge.
by Shawn W. Ritchie.
S.M.
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Corner, Robert J. "Knowledge representation in geographic information systems." Thesis, Curtin University, 1999. http://hdl.handle.net/20.500.11937/928.
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In order to satisfy increasing demand for better, smarter, more flexible land resource information an alternative form of representation is proposed. That representation is to be achieved through the coupling of Expert System methods and Geographic Information Systems. Instead of representing resource information using entities such as soil types, defined by rigid boundaries on a map, a more fluid presentation is proposed. Individual resource attributes will be represented by surfaces that describe their probability of occurrence, at a number of levels, across a landscape. Such flexible representations, which are designed to better capture the mental models behind their creation, are capable of being combined and synthesised to answer a wide range of resource queries.An investigation of methods of knowledge representation in a number of fields of research, led to the belief that a Bayesian Network provides a representational calculus that is appropriate to the "fuzzy" and imprecise conceptual models used in resource assessment. The fundamental mathematical principles of such networks have been tailored to provide a representation that is in tune with the intuitive processes of a surveyor's thinking.Software has been written to demonstrate the method and tested on a variety of data sets from Australia and overseas. These tests and demonstrations have used a range of densities of knowledge and range of acuity in evidential data. In general the results accord with the mental models used as drivers. A number of operational facets of the method have been highlighted during these demonstrations and attention has been given to a discussion of them.
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Corner, Robert J. "Knowledge representation in geographic information systems." Curtin University of Technology, School of Spatial Sciences, 1999. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=11740.
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In order to satisfy increasing demand for better, smarter, more flexible land resource information an alternative form of representation is proposed. That representation is to be achieved through the coupling of Expert System methods and Geographic Information Systems. Instead of representing resource information using entities such as soil types, defined by rigid boundaries on a map, a more fluid presentation is proposed. Individual resource attributes will be represented by surfaces that describe their probability of occurrence, at a number of levels, across a landscape. Such flexible representations, which are designed to better capture the mental models behind their creation, are capable of being combined and synthesised to answer a wide range of resource queries.An investigation of methods of knowledge representation in a number of fields of research, led to the belief that a Bayesian Network provides a representational calculus that is appropriate to the "fuzzy" and imprecise conceptual models used in resource assessment. The fundamental mathematical principles of such networks have been tailored to provide a representation that is in tune with the intuitive processes of a surveyor's thinking.Software has been written to demonstrate the method and tested on a variety of data sets from Australia and overseas. These tests and demonstrations have used a range of densities of knowledge and range of acuity in evidential data. In general the results accord with the mental models used as drivers. A number of operational facets of the method have been highlighted during these demonstrations and attention has been given to a discussion of them.
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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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Andersson, Kent. "Knowledge Technology Applications for Knowledge Management." Doctoral thesis, Uppsala : Institutionen för informationsvetenskap, Univ. [distributör], 2000. http://w3.ub.uu.se/fulltext/91-506-1437-1.pdf.
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Chen, Jianwen, University of Western Sydney, of Science Technology and Environment College, and School of Computing and Information Technology. "Data and knowledge transaction in mobile environments." THESIS_CSTE_CIT_Chen_J.xml, 2004. http://handle.uws.edu.au:8081/1959.7/806.
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Advances in wireless networking technology have engendered a new paradigm of computing, called mobile computing; in which users carrying portable devices have access to a shared infrastructure independent of their physical location. Mobile computing has matured rapidly as a field of computer science. In environments of mobile computing, the mobility and disconnection of portable computing devices introduce many new challenging problems that have never been encountered in conventional computer networks. New research issues combine different areas of computer science: networking, operating systems, data and knowledge management, and databases. This thesis studies data and knowledge transaction in mobile environments. To study transaction processing at the fundamental and theoretical level in mobile environments, a range of classical notions and protocols of transaction processing are rechecked and redefined in this thesis, and form the foundation for studying transaction processing in mobile environments. A criterion for mobile serial history is given and two new concurrency theorems are proved in mobile environments. In addition to data transaction, this thesis explores knowledge transaction in mobile environments. To study knowledge transaction in mobile environments this thesis presents and formalizes a knowledge transaction language and model for use in mobile computing environments. The thesis further formalizes a framework/model for a mobile logic programming multi-agent system which can be used to study knowledge transaction in multi-agent systems in mobile environments and is a very early effort towards a formal study of knowledge base and intelligent agents in mobile environments. This work provides a foundation for the formal specification and development of real-world mobile software systems, in the same way as traditional software systems have developed.Doctor of Philosophy (PhD) (Science)
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Cole, Darrell W. "Moving towards a knowledge-guided, knowledge-creating framework for systems advocacy." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq23262.pdf.
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Nel, Philip J. "Indigenous knowledge systems and language practice : interface of a knowledge discourse." Journal for New Generation Sciences : Socio-constructive language practice : training in the South African context : Special Edition, Vol 6, Issue 3: Central University of Technology, Free State, Bloemfontein, 2008. http://hdl.handle.net/11462/516.
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Published ArticleThe paper seeks to engage constructively with the challenges and opportunities Indigenous Knowledge (IK) may offer disciplines in Language Practice. The approach will be contextualized in terms of the theoretical shift in knowledge production and use, as well as the current debate pertaining to the feasibility of the incorporation of IK into curricula. Specific attention will be rendered to topics of Africanizing scholarship, a performance model of knowledge, the socio-cultural embeddedness of language, and brief thoughts on the translation of the oral. These thematic issues are of particular importance to Language Practice, perceived here to be at the gateway between theory of language/communication and receiver communities.
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Kandyba, Oleh Carleton University Dissertation Engineering Electrical. "A Functional architecture to support knowledge sharing among knowledge based systems." Ottawa, 1989.
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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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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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Elsass, Michael J. "Multipurpose sharable engineeering knowledge repository." Connect to this title online, 2001. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu991189934.
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Thesis (Ph. D.)--Ohio State University, 2001.Title from first page of PDF file. Document formatted into pages; contains xiv, 170 p.). Includes abstract and vita. Advisor: J.F. Rathman, Dept. of Chemical Engineering. Includes bibliographical references (p. 163-165).
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Ahlberg, Pilfold Sofia. "Managing knowledge for through life capability." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/21802.
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In 2005 the UK Ministry of Defence (MoD) published a White Paper in which it detailed its Defence Industrial Strategy (DIS) (UK MoD, 2005). The strategy involved a rapid transformation of UK defence towards a product-service, business-like paradigm through the adoption of Through Life Capability Management (TLCM). TLCM has since been succeeded by other initiatives. However, for organisations involved in the management of capability through life, the associated principles of operation as well as the challenges remain, including that of the management of knowledge. The confederated capability enterprise is a distributed knowledge system. Knowledge of the systems, for which a particular organisation has through-life management responsibility, may be distributed throughout an enterprise that comprises several commercial organisations as well as the customer. The bringing together of different components of capability and perspectives makes managing knowledge difficult. This is complicated further by the observation that in a decade one can expect a significant proportion of the manpower involved in a capability will have changed. Success in this type of environment requires a clear understanding of the value of particular knowledge within the organisation as well as effective knowledge management in the wider enterprise. Dstl and EPSRC have jointly funded this research which addresses management of knowledge for through life capability through modelling of the capability enterprise, a workshop on TLCM benefits and behaviours, a comparative case study at a commercial service company and the UK MoD including Dstl, and knowledge mapping within a specific exemplar capability. The results of the modelling illustrated the Systems of Systems (SoS) nature of the enterprise and the need to align capability and management processes across the enterprise. How well this can be achieved depends on the extent to which both the UK MoD and industry are willing to share, access and process information and knowledge. This would require trust between the individuals and organisations involved. The need for trust was emphasised in an international workshop where the participants discussed the behaviours that were required for the perceived benefits of TLCM to be realised. The workshop members highlighted trust in long term planning as industry seeks to manage skills and knowledge over time. ServiceCo provides communication and media services to customers globally. It comprises four customer-facing divisions and two operational units. The case which was based on interviews in one customer-facing and one operational unit revealed the following: • Focus on corporate values supports knowledge management behaviours across the organisation. • Succession planning is needed for all skills and knowledge that are critical or essential to the business. • Once the continual renewal of knowledge slows down and/or stops in an organisation, the knowledge is lost. The second case of the study was the Royal Navy Command Head Quarters and Dstl. Dstl is a trading fund that provides UK MoD and the wider UK government specialist Science & Technology services and operates and manages the Chief Scientific Advisor's research programme. The case study revealed: • Security regulations and considerations impact significantly on effective management of knowledge. • Knowledge retrieval can be 'hit and miss' as complicated filing structures and indexing practices are applied inconsistently, leading to individuals adopting a number of strategies to share knowledge. • Succession planning for people with rare skills is an issue that impacts business continuation. Comparison between the two cases showed that the two organisations experienced different problems but that the knowledge behaviours adopted by the individuals involved were essentially the same. This pointed to the need to address the issues associated with the management of knowledge as cultural and organisational in nature. Personal strategies to manage and share knowledge included individuals retaining copies of files on desktop hard drives and keeping paper copies in drawers; documents were emailed to ensure the intended audience would get it or be able to access it; and asking a colleague for advice on where to find out things. An important difference between knowledge management between the two organisations was that the UK MoD relied on processes due to the rapid change of personnel whereas the service company relied on personal relationships as people remained in the roles for longer. The knowledge mapping of 'moving personnel and materiel using vehicles' revealed that each Line of Development (LoDs) has its own constituent (LoDs) indicating the requirement to manage organisational capability in order to deliver capability to customers. It also illustrated all the active knowledge that is required in order for the capability to be delivered. The research main contributions are: • Theoretical models for exploring the use of knowledge in acquisition projects over time • Comparing two organisations at separate ends of the organisational spectrum and identifying common organisational factors that influence the management of knowledge for through life capability • Recognising that the enterprise is a capability SoS. In order to successfully delivery capability, knowledge about and within the components needs to be managed. Other findings include: • Management of knowledge for TLCM puts the focus on managing knowledge for future capability requirements rather than on retention of knowledge products, bringing in aspects such as business continuation planning and consequently impacting on the organisation's future development. • There is a strong relationship between knowledge conservation, human resource management and company policies. • Managing changes in design and/or function requires a good understanding of the different processes used within the various disciplines involved across the capability components and how they contribute to the final product and to each other. • An organisation's goals and the manner in which it organises itself to achieve them with regard to the management of knowledge does not appear linked. Instead, focus falls on the organisational architecture and the human resource polices that it implies. • 'Knowing' is an individual capability and also a social one; communities of practice and networking are necessary components of an organisation's knowledge base. • Knowing whom to ask and where to look is in a knowledge retrieval perspective nearly as important as knowing what to look for. • 'Individuals know while documents, processes and tools support knowing'. This emphasises the need for a close connection between humans and IT-based knowledge repositories. • The role of IT in knowledge management can either be to correlate knowledge in people's heads to relevant projects or to correlate individuals and knowledge in relevant projects depending on the key questions asked in the management of knowledge within the organisation. • The role of IT in determining issues related to the relevance and location of documentation differs depending of the organisation's reliance on face to face interactions between employees as a means for communicating this information. • The capability end user is in some instances hard to define. How the end user is defined determines where the SoS boundaries are defined. It is probably better to define the boundary as a broad fuzzy border. The indeterminacy implied by this view becomes a complexity issue for management of knowledge. • The impetus to manage knowledge and how is influenced legal requirements and by the organisation's relationships with its stakeholders including the extent it is subject to external scrutiny. Based on the research, a number of recommendations are made.
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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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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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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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Tucker, Eric. "KNOWLEDGE MANAGEMENT DETERMINANTS OF CONTINUANCE BEHAVIOR: EVALUATING THE AIR FORCE KNOWLEDGE NOW KNOWLEDGE MANAGEMENT SYSTEM." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3343.
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Knowledge management (KM) encompasses the set of capabilities, processes, tools, and techniques for the most effective use of knowledge by an organization. The goal of KM is to improve the organization s ability to create, transfer, retain, and apply knowledge. Knowledge management is a goal that many organizations seek to achieve. Organizations apply their strategies, plans, and implementation to achieve KM. Organizations use technology to implement their KM strategy. For some, this approach has worked well; however, for others, the results have fallen short. KM shortcomings revolve around employees infrequent use of the technology. This research seeks to understand what influences a user s behavior to use a KM system and why a user becomes a routine user. This research provides a model of KM continuance behavior and post-acceptance usage behavior. Post-acceptance usage behavior is how an individual decides to use a system after its initial acceptance. The KM continuance model incorporates technology, community, individual, and organizational elements that influence a user s intentions and actual use of a KM system. The specific context of this research is a KM system known as the Air Force Knowledge Now (AFKN) system. AFKN emphasizes KM through expertise-sharing activities in Communities of Practice (CoPs). The AFKN KM system facilitates and enhances the relationships in the community. The data for this study were obtained by using an online questionnaire. The results are analyzed using Partial Least Squares structural equation modeling with a two-step data analysis approach. The first step assessed the properties of the measurement model. The second step assessed the path model. Path coefficients and t-values are generated to evaluate the 14 proposed hypotheses. The results of the investigation show that community and technology KM both positively influence a user s evaluation of the KM environment. The results produced a coefficient of determination of 60% for KM continued-use intention and 31% for KM continued-use behavior. The outcome of this research is a model that allows organizations to tailor their KM systems efforts to the organizational environment in order to maximize their resources. This investigation serves as a foundation for further research and development in areas of KM, KM systems, and post-acceptance usage.Ph.D.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering PhD
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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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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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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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Clayton, Deena. "Developing a knowledge base to incorporate traditional knowledge with geographic information systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0013/MQ34951.pdf.
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Maier, Ronald. "Knowledge management systems : information and communication technologies for knowledge management; 111 tables /." Berlin ; Heidelberg [u.a.] : Springer, 2002. http://swbplus.bsz-bw.de/bsz098234811cov.htm.
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Baloh, Peter Desouza Kevin C. "Towards knowledge needs-technology fit model for knowledge management systems : doctoral dissertation /." Ljubljana : [P. Baloh], 2009. http://www.cek.ef.uni-lj.si/doktor/brez_objave.htm.
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Nicholson, Clive. "Knowledge acquisition for knowledge-based systems : an empirical comparison of two methods." Thesis, University of Southampton, 1992. https://eprints.soton.ac.uk/425631/.
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Lai, Han. "Reconceptualising knowledge seeking in knowledge management : towards a knowledge seeking process model." Thesis, Northumbria University, 2012. http://nrl.northumbria.ac.uk/7710/.
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Promoting knowledge sharing has long been regarded as a very important aspect of the management of knowledge. However, knowledge sharing has its challenges due to the special nature of knowledge. Based on this, the researcher argues that it is knowledge seeking rather than knowledge sharing that plays a crucial role in knowledge management. However, there is no clear definition for knowledge seeking in existing literature. In the few studies of knowledge seeking research, knowledge has been viewed as a noun and as such knowledge seeking has been seen as no different to information seeking. The aim of this research has been to explore the knowledge seeking process in the workplace in order to conceptualise knowledge seeking by developing a theoretical model. A review of the literature concerning knowledge seeking has been conducted in order to clarify the concept of knowledge seeking. From the interpretivist’s perspective, a qualitative research approach has been taken, in which sense-making theory is employed as a methodological guide. Time-line interviews were carried out with construction engineers in China to collect primary data, and Template analysis was utilized. Based on the literature, this thesis defined knowledge seeking as a learning process, which consists of three major themes: experiential learning, information seeking and problem solving, based on which a preliminary framework was developed. Twenty six engineers were successfully interviewed. The findings from the data confirmed the links between the themes. Further codes were also identified to develop a final template, which evolved to a theoretical model illustrating the knowledge seeking process in the workplace. By promoting knowledge seeking rather than knowledge sharing, this research contributed innovatory insight into existing KM research. The new concept of knowledge seeking and the theoretical model developed thereafter contribute to knowledge by providing a theoretical framework for further research in this area. The specific combination of time-line interviews and template analysis has demonstrated good results in this research. Collecting primary data from China, this research applied Western theories onto engineers within a Chinese context, which has contributed to KM research in China. These contributions will result in many practical implications for KM practices.