Relevant bibliographies by topics / Knowledge Elicitation Tools

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Knowledge Elicitation Tools'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Knowledge Elicitation Tools"

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Thomson, Alan J. "Knowledge elicitation tools for use in a virtual adaptive environmental management workshop." Computers and Electronics in Agriculture 27, no. 1-3 (2000): 57–70. http://dx.doi.org/10.1016/s0168-1699(00)00097-1.

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Bharwani, Sukaina. "Understanding Complex Behavior and Decision Making Using Ethnographic Knowledge Elicitation Tools (KnETs)." Social Science Computer Review 24, no. 1 (2006): 78–105. http://dx.doi.org/10.1177/0894439305282346.

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Robinson, Kenneth S., and Joseph Psotka. "Military Tacit Knowledge Elicitation in Written versus Online Settings." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 25 (2002): 2084–88. http://dx.doi.org/10.1177/154193120204602519.

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This report is part of a project to create automated self-assessment tools for military leadership in the U.S. Army, using a novel automatic, language understanding, text-based distributed collaborative learning and problem solving environment that allows leaders to share their tacit and doctrinal knowledge. The online newsgroup-like environment has several automated features, such as the capability of finding semantically related notes entered by any other participant and providing quick and meaningful access to every paragraph in an electronic library of relevant information. Groups of offic
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Dorton, Stephen, Scott Tupper, and LeeAnn Maryeski. "Going Digital: Consequences of Increasing Resolution of a Wargaming Tool for Knowledge Elicitation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 2037–41. http://dx.doi.org/10.1177/1541931213601988.

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Wargaming is used to facilitate Knowledge Elicitation (KE) during design thinking events for the development of advanced concepts. These wargaming sessions follow brainstorming and consensus building exercises where diverse teams of end users and technical personnel enumerate and vote on innovative features to develop into new systems, or for innovative means to leverage and exploit existing technologies. A tabletop, turn-based board game was used to conduct these wargaming sessions for vetting concepts; however, the time required to execute and evaluate (process) each turn led to the developm
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Salvi, Elisa, Enea Parimbelli, Silvana Quaglini, and Lucia Sacchi. "Eliciting and Exploiting Utility Coefficients in an Integrated Environment for Shared Decision-Making." Methods of Information in Medicine 58, no. 01 (2019): 024–30. http://dx.doi.org/10.1055/s-0039-1692416.

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Background In shared decision-making, a key step is quantifying the patient's preferences in relation to all the possible outcomes of the compared clinical options. According to utility theory, this can be done by eliciting utility coefficients (UCs) from the patient. The obtained UCs are then used in decision models (e.g., decision trees). The elicitation process involves the choice of one or more elicitation methods, which is not easy for decision-makers who are unfamiliar with the theoretical framework. Moreover, to our knowledge there are no tools that integrate functionalities for UC elic
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Marra, Rose M., and David H. Jonassen. "Transfer Effects of Semantic Networks on Expert Systems: Mindtools at Work." Journal of Educational Computing Research 26, no. 1 (2002): 1–23. http://dx.doi.org/10.2190/wmln-n7jc-21pa-47th.

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Semantic networks and expert systems can support learning and critical thinking as Mindtools. Mindtools are computer-based tools that function as intellectual partners with the learner in order to engage and facilitate critical thinking and higher-order learning. Semantic networks and expert systems in particular are cognitive reflection tools that help learners to build a representation of what they know by designing their own knowledge bases. Semantic networks have been used as a knowledge elicitation tool for expert system construction; however, the effects of using these tools together has
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Inman, D., D. Simidchiev, and P. Jeffrey. "Elicitation of expert knowledge to develop decision support tools for use in water demand management planning." Water Supply 7, no. 5-6 (2007): 53–60. http://dx.doi.org/10.2166/ws.2007.110.

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This paper examines the use of influence diagrams (IDs) in water demand management (WDM) strategy planning with the specific objective of exploring how IDs can be used in developing computer-based decision support tools (DSTs) to complement and support existing WDM decision processes. We report the results of an expert consultation carried out in collaboration with water industry specialists in Sofia, Bulgaria. The elicited information is presented as influence diagrams and the discussion looks at their usefulness in WDM strategy design and the specification of suitable modelling techniques. T
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Fox, J., C. D. Myers, M. F. Greaves, and Susan Pegram. "Knowledge Acquisition for Expert Systems: Experience in Leukaemia Diagnosis." Methods of Information in Medicine 24, no. 02 (1985): 65–72. http://dx.doi.org/10.1055/s-0038-1635361.

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SummaryEMYCIN was used to develop an expert system for the interpretation of immunological data obtained in the cell surface phenotyping of leukaemia. Access to a recognised expert, and a large quantity of data on the leukaemias, has facilitated a systematic study of knowledge acquisition and knowledge base refinement based on tape recorded commentaries made by the expert. System performance was analysed at six stages in its development, and ways in which it differed from that of the human diagnostician were identified. Among the most suggestive observations were differences in the way that “u
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Fox, J., C. D. Myers, M. F. Greaves, and Susan Pegram. "Knowledge Acquisition for Expert Systems: Experience in Leukaemia Diagnosis." Methods of Information in Medicine 24, no. 02 (1985): 65–72. http://dx.doi.org/10.1055/s-0038-1636675.

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SummaryEMYCIN was used to develop an expert system for the interpretation of immunological data obtained in the cell surface phenotyping of leukaemia. Access to a recognised expert, and a large quantity of data on the leukaemias, has facilitated a systematic study of knowledge acquisition and knowledge base refinement based on tape recorded commentaries made by the expert. System performance was analysed at six stages in its development, and ways in which it differed from that of the human diagnostician were identified. Among the most suggestive observations were differences in the way that “u
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Kokla, Margarita, and Eric Guilbert. "A Review of Geospatial Semantic Information Modeling and Elicitation Approaches." ISPRS International Journal of Geo-Information 9, no. 3 (2020): 146. http://dx.doi.org/10.3390/ijgi9030146.

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The present paper provides a review of two research topics that are central to geospatial semantics: information modeling and elicitation. The first topic deals with the development of ontologies at different levels of generality and formality, tailored to various needs and uses. The second topic involves a set of processes that aim to draw out latent knowledge from unstructured or semi-structured content: semantic-based extraction, enrichment, search, and analysis. These processes focus on eliciting a structured representation of information in various forms such as: semantic metadata, links
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Dissertations / Theses on the topic "Knowledge Elicitation Tools"

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Brade, Marius. "Visualisierungsmethoden für das interaktive Erfassen und Strukturieren von Informationen im Kontext der Freiform-Wissensmodellierung." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-167056.

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In der vorliegenden Arbeit werden Visualisierungsmethoden für das interaktive Erfassen und Strukturieren von Informationen im Kontext der Wissensmodellierung konzipiert und untersucht. Motiviert ist das Vorhaben durch das Interesse von Wissensarbeitern an unterstützenden Werkzeugen sowie von Unternehmen und Institutionen, unstrukturiertes Prozesswissen zu erfassen, zu strukturieren und intern für Optimierungszwecke verfügbar zu machen. Diese Problematik tritt domänenunabhängig auf. Die Herausforderung dabei ist, diese branchenübergreifend zu lösen. Die zwei wesentlichen Nachteile des Wissensm
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Lee, Poh Khoon Ernie. "A quest for a better simulation-based knowledge elicitation tool." Thesis, University of Warwick, 2007. http://wrap.warwick.ac.uk/48626/.

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Knowledge elicitation is a well-known bottleneck in the development of Knowledge-Based Systems (KBS). This is mainly due to the tacit property of knowledge, which renders it unfriendly for explication and therefore, analysis. Previous research shows that Visual Interactive Simulation (VIS) can be used to elicit episodic knowledge in the form of example cases of decisions from the decision makers for machine learning purposes, with a view to building a KBS subsequently. Notwithstanding, there are still issues that need to be explored; these include how to make a better use of existing commercia
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Meyer, Bertolt [Verfasser]. "The effects of computer-elicited structural and group knowledge on complex problem solving performance : an application of two computer-based tools for knowledge elicitation / von Bertolt Meyer." 2008. http://d-nb.info/990223027/34.

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Brade, Marius. "Visualisierungsmethoden für das interaktive Erfassen und Strukturieren von Informationen im Kontext der Freiform-Wissensmodellierung." Doctoral thesis, 2014. https://tud.qucosa.de/id/qucosa%3A28690.

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In der vorliegenden Arbeit werden Visualisierungsmethoden für das interaktive Erfassen und Strukturieren von Informationen im Kontext der Wissensmodellierung konzipiert und untersucht. Motiviert ist das Vorhaben durch das Interesse von Wissensarbeitern an unterstützenden Werkzeugen sowie von Unternehmen und Institutionen, unstrukturiertes Prozesswissen zu erfassen, zu strukturieren und intern für Optimierungszwecke verfügbar zu machen. Diese Problematik tritt domänenunabhängig auf. Die Herausforderung dabei ist, diese branchenübergreifend zu lösen. Die zwei wesentlichen Nachteile des Wissensm
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Books on the topic "Knowledge Elicitation Tools"

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Tebaldi, Claudia, and Richard Smith. Indirect elicitation from ecological experts: From methods and software to habitat modelling and rock-wallabies. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.19.

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This article focuses on techniques for eliciting expert judgement about complex uncertainties, and more specifically the habitat of the Australian brush-tailed rock-wallaby. Modelling wildlife habitat requirements is important for mapping the distribution of the rock-wallaby, a threatened species, and therefore informing conservation and management. The Bayesian statistical modelling framework provides a useful ‘bridge’, from purely expert-defined models, to statistical models allowing survey data and expert knowledge to be ‘viewed as complementary, rather than alternative or competing, inform
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Book chapters on the topic "Knowledge Elicitation Tools"

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Portmann, M. M., and S. M. Easterbrook. "PMI: Knowledge elicitation and De Bono's thinking tools." In Current Developments in Knowledge Acquisition — EKAW '92. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55546-3_45.

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Shute, Valerie J., and Lisa A. Torreano. "Formative Evaluation of an Automated Knowledge Elicitation and Organization Tool." In Authoring Tools for Advanced Technology Learning Environments. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0819-7_6.

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Norros, Leena. "Expert Knowledge, Its Acquisition and Elicitation in Developing Intelligent Tools for Process Control." In NATO ASI Series. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-50329-0_9.

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Adesola, Benjamin, Rajkumar Roy, and Steve Thornton. "XPat: A tool for Manufacturing Knowledge Elicitation." In Industrial Knowledge Management. Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0351-6_28.

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Low-Choy, Samantha, Allan James, Justine Murray, and Kerrie Mengersen. "Elicitator: A User-Friendly, Interactive Tool to Support Scenario-Based Elicitation of Expert Knowledge." In Expert Knowledge and Its Application in Landscape Ecology. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1034-8_3.

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Spaul, M. W. J., S. H. Evans, and S. A. Unsworth. "Participation in Thames Chase Community Forest: A Multimedia Elicitation Tool." In Systems Theory and Practice in the Knowledge Age. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0601-0_34.

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"Knowledge Elicitation: Methods, Tools and Techniques." In Evaluation of Human Work. CRC Press, 2015. http://dx.doi.org/10.1201/b18362-18.

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Shute, Valerie J., Lisa A. Torreano, and Ross E. Willis. "DNA: Toward an Automated Knowledge Elicitation and Organization Tool." In Computers as Cognitive Tools, Volume Two: No More Walls. Routledge, 2020. http://dx.doi.org/10.1201/9781315045337-13.

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Jannach, Dietmar, Markus Zanker, and Markus Jessenitschnig. "Developing Knowledge-Based Travel Advisor Systems." In Tourism Informatics. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-818-5.ch003.

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In the domain of travel and tourism, recommender systems have proven to be valuable tools for supporting potential customers during the decision making process. In contrast to other domains, however, travel recommendation systems must not only include extensive knowledge about catalogued items but also require interactive elicitation of customer requirements. As a consequence, such systems often become highly-interactive and personalized Web applications, whose development can be costly and time-consuming. The authors see these factors as major obstacles to the widespread adoption of this type of recommender system in particular with respect to small and medium-sized companies and e-tourism platforms. The “Vibe virtual spa advisor” presented in this chapter is an example of a recommender system offering such high level interaction. It has been built with the help of AdVisor suite, an off-the-shelf knowledge-based and domain-independent framework for the rapid development of advisory applications. The chapter discusses how development costs can be reduced by using a framework that supports graphical domain modeling, domain-independent recommendation algorithms and semi-automated generation of production quality web applications. The authors also report on practical experiences and give an outlook on future work and opportunities in the domain of travel recommendation.
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Lee, Rongbin W. B., Cherie C. Y. Lui, Jessica Y. T. Yip, and Eric Y. H. Tsui. "Exploration in Intellectual Capital Practice." In Intellectual Capital Strategy Management for Knowledge-Based Organizations. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3655-2.ch013.

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Historically, Intellectual Capital (IC) has drawn the attention of researchers and practitioners as a new framework to assess the new competitiveness of firms and organizations in the knowledge economy. The enthusiasm dies down gradually as either the method is considered to be too general as compared with other performance measurement tools or non-mandatory as compared to other orthodox accounting methods that are already in place. This chapter links the professional IC management practices to a framework of Knowledge Management (KM) process to identify new methods and approaches. An intellectual capital management reference model is put forward to link the practice of intellectual capital and primary knowledge management functions. Three examples are selected to enrich the methodological scope and applications of IC practices. These include open elicitation of IC value tree and IC strategy map, mapping value, activity, and knowledge of unstructured business process and knowledge mining, and discovery of intellectual capital from unstructured information.
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Conference papers on the topic "Knowledge Elicitation Tools"

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Cooke, Roger, and Margaret MacDonell. "Risk Newsboy: Approach for Addressing Uncertainty in Developing Action Levels and Cleanup Limits." In The 11th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2007. http://dx.doi.org/10.1115/icem2007-7324.

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Site cleanup decisions involve developing action levels and residual limits for key contaminants, to assure health protection during the cleanup period and into the long term. Uncertainty is inherent in the toxicity information used to define these levels, based on incomplete scientific knowledge regarding dose-response relationships across various hazards and exposures at environmentally relevant levels. This problem can be addressed by applying principles used to manage uncertainty in operations research, as illustrated by the newsboy dilemma. Each day a newsboy must balance the risk of buyi
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Thompson, Jennifer, and Jessica Bradley. "Predictive analysis network tool for human knowledge elicitation and reasoning." In 2007 10th International Conference on Information Fusion. IEEE, 2007. http://dx.doi.org/10.1109/icif.2007.4408129.

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Soltanian Bojnord, Azita, Rodina Binti Ahmad, and Hoda Soltanian Bojnord. "WEBSTUIRE: WEB-based Support Tool for user interface requirements elicitation." In 2013 3th International eConference on Computer and Knowledge Engineering (ICCKE). IEEE, 2013. http://dx.doi.org/10.1109/iccke.2013.6682840.

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"An interactive modelling tool to support knowledge elicitation using extreme case models." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.k3.guillaume.

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Ramos, Felipe, Antonio Pedro, Marcos Cesar, et al. "Evaluating Software Developers’ Acceptance of a Tool for Supporting Agile Non-Functional Requirement Elicitation." In The 31st International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2019. http://dx.doi.org/10.18293/seke2019-107.

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Journal articles
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