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Journal articles on the topic 'Knowledge Based System (KBS)'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 January 2023

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1

Lv, Zhan Min, Wei Yan, Jun Liang He, and Dao Fang Chang. "Knowledge-Based System for Major-Pieces Lifting Project Using MRM." Applied Mechanics and Materials 170-173 (May 2012): 3260–65. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.3260.

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Knowledge-based system (KBS) for major-pieces lifting projects can be useful for improving the level of decision-making. And it is important to use the knowledge acquired from domain experts to finish all kinds of projects for lifting major-pieces. Knowledge acquisition plays a critical role in constructing a KBS for major-pieces lifting project, also it is commonly regarded as a major obstacle and bottleneck in the process of designing and implementing a KBS. This paper presents a KBS model based on matrix representation and mapping (MRM) approach to facilitate the effectiveness of knowledge

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Shen, Hong Liang, Chang Bao Yang, Guo Cheng Liu, and Sheng Zhong Ma. "The Study of Knowledge Based Geographic Information System." Applied Mechanics and Materials 719-720 (January 2015): 691–95. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.691.

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The purpose of this paper is to develop a practical method which integrate the mighty function of GIS with KBS (Knowledge Based System) .It emphatically bring forward a prototype of KBGIS. The research is an example of GIS-KBS integration in which the elements of KBS techniques are actually integrated with GIS. The idea of the prototype KBGIS system design was to put the model, data, domain knowledge, and the system's knowledge acquisition and reasoning mechanism and GIS together into a same environment.

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Thompson, D. R., A. Ray, and S. Kumara. "A Hierarchically Structured Knowledge-Based System for Welding Automation and Control." Journal of Engineering for Industry 110, no. 1 (1988): 71–76. http://dx.doi.org/10.1115/1.3187845.

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The paper presents the concept and prototype development of a hierarchically structured knowledge-based system (KBS) for coordinated control of a welding robot and a positioning table. The KBS is designed for continuous seam welding in an autonomous manufacturing environment. The structure of the KBS allows updating and installation of individual function and database modules such as those used for determining welding parameters and identifying constraints and parameters for robot and table controllers. The KBS is designed to plan the feasible table configurations and robot trajectories as wel

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Mitev, Nathalie N. "The Business Failure of Knowledge-Based Systems: Linking Knowledge-Based Systems and Information Systems Methodologies for Strategic Planning." Journal of Information Technology 9, no. 3 (1994): 173–84. http://dx.doi.org/10.1177/026839629400900302.

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It is first argued that the commercial failure of knowledge-based systems (KBS) is due to the lack of business emphasis of KBS development methodologies. This article outlines the evolution of KBS methodologies and the recent change of emphasis from a technology-driven to a business-led approach. It further examines the ‘application identification and selection’ activities of two KBS methodologies, KADS and STAGES. Their weaknesses are highlighted and it is argued that an integrated strategic methodological approach to the development of information systems and knowledge-based systems is requi

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Lanzola, G., S. Quaglini, and M. Stefanelli. "Knowledge-Acquisition Tools for Medical Knowledge-Based Systems." Methods of Information in Medicine 34, no. 01/02 (1995): 25–39. http://dx.doi.org/10.1055/s-0038-1634578.

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Abstract:Knowledge-based systems (KBS) have been proposed to solve a large variety of medical problems. A strategic issue for KBS development and maintenance are the efforts required for both knowledge engineers and domain experts. The proposed solution is building efficient knowledge acquisition (KA) tools. This paper presents a set of KA tools we are developing within a European Project called GAMES II. They have been designed after the formulation of an epistemological model of medical reasoning. The main goal is that of developing a computational framework which allows knowledge engineers

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Amalnik, Morteza Sadegh, M. H. Khoshgoftarmanesh, and M. Mirzaei. "Knowledge based System for Improving Design and Manufacturing Processes for Electrochemical MachiningIn Computer based Concurrent Engineering." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 5 (2015): 5707–18. http://dx.doi.org/10.24297/ijct.v14i5.1934.

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The traditional design of product, the preceding constraints and limitations are considered sequentially. In order to reduce the product development cycle time and cost and increase quality and productivity, concurrent (simultaneous) design of product and process has been introduced. Electrochemical machining (ECM) is used to tackle exotic alloys of intricate shape and produce complex parts in hard metals with high surface quality and integrity. This paper addresses the concept of the knowledge base system (KBS) for optimization of product design and electrochemical machining process in comput

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Fensel, Dieter. "Formal specification languages in knowledge and software engineering." Knowledge Engineering Review 10, no. 4 (1995): 361–404. http://dx.doi.org/10.1017/s0269888900007566.

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AbstractDuring the last few years, a number of formal specification languages for knowledge-based systems (KBS) have been developed. Characteristics of such systems are a complex knowledge base and an inference engine which uses this knowledge to solve a given problem. Languages for KBS have to cover both these aspects. They have to provide a means to specify a complex and large amount of knowledge and they have to provide a means to specify the dynamic reasoning behaviour of a KBS. Nevertheless, KBS are just a specific type of software system. Therefore, it seems quite natural to compare form

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Mohamed A. Wahdan, Mohamed A. Wahdan, and Manar Hassan Mohamed A. Wahdan. "Automatic Assessment of Materiality: A Knowledge-based Approach." International Journal of Computer Auditing 1, no. 1 (2019): 064–91. http://dx.doi.org/10.53106/256299802019120101004.

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<p>This paper explores how can a knowledge&ndash;based system (KBS) be used in auditing especially when the task requires using professional judgments. It concerned with modeling, implementing and evaluating a KBS called Materiality EXpert (MEX). MEX can assess the level of planning materiality and performance materiality as professionals act. Knowledge used to build MEX is acquired from literature, international standards on auditing, and experienced auditors using questionnaire as well as unstructured and structured interviews. MEX was evaluated by 34 auditors from different audit

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Smedley, Georgia A., and Steve G. Sutton. "Explanation Provision in Knowledge-Based Systems: A Theory-Driven Approach for Knowledge Transfer Designs." Journal of Emerging Technologies in Accounting 1, no. 1 (2004): 41–61. http://dx.doi.org/10.2308/jeta.2004.1.1.41.

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Knowledge-Based Systems (KBS) have been used in industry to free experts from mundane and routine decision making, to produce comparable and consistent decisions, and to retain the expertise of knowledgeable employees who may, for many reasons, leave a company. KBS are also desired to have the capacity to transfer knowledge to less-expert users of such systems. In this paper, Adaptive Character of Thought-Rational (ACT-R) theory is used as a foundation for the design of KBS explanations for the explicit purpose of facilitating knowledge transfer to the user. ACT-R (Anderson 1993) is a theory o

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Wilson, Michael, David Duce, and Dan Simpson. "Life cycles in software and knowledge engineering: a comparative review." Knowledge Engineering Review 4, no. 3 (1989): 189–204. http://dx.doi.org/10.1017/s0269888900005026.

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AbstractProgress in software engineering has led to system development following models of the system life cycle. These models incorporate the use of prototyping and formal methods of program verification. They are becoming supported by integrated project support environments and permit the planning and monitoring of software development projects.In contrast, knowledge based systems (KBS) are developed using informal views of the system life cycle. Tools have been developed to support some stages of the life cycle in an undisciplined manner. The commercial use of KBS needs development projects

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Al Khamisi, Yousuf Nasser, M. Khurshid Khan, and J. Eduardo Munive-Hernandez. "Knowledge-based lean six sigma system for enhancing quality management performance in healthcare environment." International Journal of Lean Six Sigma 10, no. 1 (2019): 211–33. http://dx.doi.org/10.1108/ijlss-06-2017-0066.

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PurposeThis paper aims to present the development of a knowledge-based system (KBS) to support the implementation of Lean Six Sigma (L6s) principles applied to enhance quality management (QM) performance within a health-care environment. Design/methodology/approachThe process of KBS building has been started by acquiring knowledge from experts in field of L6σ and QM in health care. The acquired knowledge has been represented in a rule-based approach for capturing L6σ practices. These rules are produced in IF […].THEN way where IF is the premise and THEN is the action. The produced rules have b

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Moisan, Sabine. "Generating Knowledge-Based System Generators." International Journal of Intelligent Information Technologies 6, no. 1 (2010): 1–17. http://dx.doi.org/10.4018/jiit.2010100901.

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This article investigates software engineering techniques for designing and reengineering knowledge-based system generators, focusing on inference engines and domain specific languages. Indeed, software development of knowledge-based systems is a difficult task. We choose a software engineering approach to favor code reuse, evolution, and maintenance. We propose a software platform named Lama to design the different elements necessary to produce a knowledge-based system. This platform offers software toolkits (mainly component frameworks) to build interfaces, inference engines, and expert lang

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Panghal, Deepak, and Shailendra Kumar. "A Low Cost Knowledge Based System Framework for Design of Bending Die." Key Engineering Materials 549 (April 2013): 284–91. http://dx.doi.org/10.4028/www.scientific.net/kem.549.284.

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This paper presents a low cost knowledge based system (KBS) framework for design of bending die. Considerations for development of KBS are discussed at some length. The proposed framework divides the task of development of expert system into different modules for major activities of bending die design. The procedure of development of KBS modules is also described at length. Production rules for each module are recommended to be coded in the AutoLISP language and designed to be loaded into the prompt area of AutoCAD or through user interface created using Visual Basic. Each module of the propos

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GAMBLE, ROSE F., and TERESA M. SHAFT. "ELIMINATING REDUNDANCY, CONFLICT, AND INCOMPLETENESS FROM KNOWLEDGE-BASED SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 06, no. 04 (1996): 673–97. http://dx.doi.org/10.1142/s0218194096000272.

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The reliability of knowledge-based systems (KBSs) has been the subject of a great deal of recent research. Much of this research focuses on the verification of KBSs, specifically to eliminate redundant rules, conflicting rules, and to ensure that the KBS is complete. Often, verification is approached by testing the structural properties of the KBS after the rules have been defined. In this paper we take a different approach and show how the process of formal program derivation from software engineering can be applied to KBSs. The use of these techniques eliminates the need for post-development

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Sauer, Christopher, Thilo Breitsprecher, Christof Küstner, Benjamin Schleich, and Sandro Wartzack. "SLASSY—An Assistance System for Performing Design for Manufacturing in Sheet-Bulk Metal Forming: Architecture and Self-Learning Aspects." AI 2, no. 3 (2021): 307–29. http://dx.doi.org/10.3390/ai2030019.

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Substantial efforts have been made to integrate manufacturing- and design-relevant knowledge into product development processes. A common approach is to provide the relevant knowledge to the design engineers using a knowledge-based system (KBS) that, in turn, becomes the engineering assistance system. Keeping the knowledge up to date is a critical issue, making knowledge acquisition a bottleneck of developing and maintaining KBS. This article presents a robust metamodel optimization and performance estimation architecture for developing and maintaining a KBS useful for design-for-manufacturing

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Laufmann, S. C. "A strategy for near-term success using knowledge-based systems." Knowledge Engineering Review 2, no. 3 (1987): 179–83. http://dx.doi.org/10.1017/s026988890000093x.

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AbstractKnowledge-based System (KBS) technologies have been applied to a variety of knowledge-related tasks with varying degrees of success. Differentiating among classes of knowledge-related tasks, based on the amounts of problem-solving knowledge and case-specific data involved, can provide valuable insight into why this occurs. Based on this comparison, four classes of problems are described. One class, of data-intensive tasks, includes problem types that are difficult or impossible for humans to perform, yet may be solved in a cost-effective manner using currently accessible KBS technology

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Khan, Sharfuddin Ahmed, Amin Chaabane, and Fikri Dweiri. "A knowledge-based system for overall supply chain performance evaluation: a multi-criteria decision making approach." Supply Chain Management: An International Journal 24, no. 3 (2019): 377–96. http://dx.doi.org/10.1108/scm-06-2017-0197.

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Purpose Existing supply chain (SC) performance models are not able to cope with the potential of intensive SC digitalisation and establish a relationship between decisions and decision criteria. The purpose of this paper is to develop an integrated knowledge-based system (KBS) that creates a link between decisions and decision criteria (attributes) and evaluates the overall SC performance. Design/methodology/approach The proposed KBS is grounded on the fuzzy analytic hierarchy process (fuzzy AHP), which establishes a relationship between short-term and long-term decisions and SC performance cr

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Preece, Alun D. "Validation of knowledge-based systems: Current trends and issues." Knowledge Engineering Review 10, no. 1 (1995): 69–71. http://dx.doi.org/10.1017/s0269888900007281.

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Assuring the reliability of knowledge-based systems has become an important issue in the development of the knowledge engineering discipline. There has been a workshop devoted to these topics at most of the major AI conferences (IJCAI, AAAI and ECAI) for the last five years, and the 1994 European Conference on Artificial Intelligence (ECAI-94) in Amsterdam was no exception. The focus of the meeting was on validation techniques for KBS, where validation is defined as the process of determining if a KBS meets its users' requirements; implicitly, validation includes verification, which is the pro

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Smedley, Georgia, and Steve G. Sutton. "The Effect of Alternative Procedural Explanation Types on Procedural Knowledge Acquisition during Knowledge-Based Systems Use." Journal of Information Systems 21, no. 1 (2007): 27–51. http://dx.doi.org/10.2308/jis.2007.21.1.27.

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This study applies Adaptive Character of Thought-Rational (ACT-R), a theory of cognitive skill acquisition, to identify two techniques theorized to provide learners with a simplified and situation-responsive set of production rules to use in a problemsolving context. The two techniques are abstraction (an optimization technique that produces a generalized rule set) and goal structuring (another optimization technique that produces a differentiated rule set). Accordingly, abstraction and goal structuring explanations were provided to users through a knowledge-based system (KBS). Due to cognitiv

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ACUÑA, SILVIA T., MARTA LOPEZ, NATALIA JURISTO, and ANA MORENO. "A PROCESS MODEL APPLICABLE TO SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING." International Journal of Software Engineering and Knowledge Engineering 09, no. 05 (1999): 663–87. http://dx.doi.org/10.1142/s0218194099000358.

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Software engineering (SE) and knowledge engineering (KE) develop software systems using different construction process models. Because of the growing complexity of the problems to be solved by computers, the conventional systems (CS) and knowledge-based systems (KBS) software process is at present passing through a period of integration. In this paper, we propose a software process model applicable to both CS and KBS. The model designed is declarative, that is, it indicates what is done to build a software system. Its goal is to provide software and knowledge engineers with a techno-conceptual

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Olley, P., and A. K. Kochhar. "Repair Learning for a Working Knowledge-Based System." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 209, no. 4 (1995): 287–94. http://dx.doi.org/10.1243/pime_proc_1995_209_085_02.

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This paper addresses the issues of using a learning mechanism for closed-loop updating of the repair knowledge base of a working knowledge-based system (KBS). Issues addressed are stability under noisy data and errors arising from learning from cases in which several repairs are attempted. Simulated data are used to investigate the effects of the latter feature. It is shown that the learning method can cause a significant systematic error in learnt knowledge. A knowledge-based method, which aims to intelligently compensate for the systematic error using diagnostic domain knowledge, is investig

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Morgade, Ana Torres, Marcos Martínez-Romero, José M. Vázquez-Naya, Miguel Pereira Loureiro, Ángel González Albo, and Javier Pereira Loureiro. "Development of a Knowledge Based System for an Intensive Care Environment Using Ontologies." Journal of Information Technology Research 4, no. 1 (2011): 21–33. http://dx.doi.org/10.4018/jitr.2011010102.

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In intensive care units (ICUs), clinicians must monitor patients’ vital signs and make decisions regarding the drugs they administer. The patients’ lives depend on the quality of these decisions but experts can make mistakes. Recent technological strategies and tools can decrease these errors. In this paper, the authors describe the development of a knowledge based system (KBS) to provide support to clinicians with respect to the drugs they administer to patients with cardiopathies in ICUs to stabilize them. To develop the system, knowledge from medical experts at the Meixoeiro Hospital in Vig

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Sran, Ashmean Kaur, Sherrie Yi Komiak, and Sabir Manzoor. "Farm-n-Pedia: Expert mobile agricultural knowledge-based system for Indian Farmers." International Journal of Research in Business and Social Science (2147- 4478) 10, no. 7 (2021): 27–39. http://dx.doi.org/10.20525/ijrbs.v10i7.1437.

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Efficiency in farming productivity and optimum utilization of resources in the agriculture sector in developing countries is a challenge that can be addressed with technological advancement. There is also a strong need to work on the farming community’s engagement to make better farming decisions. This study aims to create an expert knowledge-based system (KBS) in a mobile application to help Indian farmers improve their agricultural practices and increase crop productivity. A prototype mobile application, ‘Farm-n-Pedia,’ is designed and used to fulfill the farmers’ informational and engagemen

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Jo, Geun-Sik, Kyeong-Jin Oh, Inay Ha, et al. "A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircra." Proceedings of the AAAI Conference on Artificial Intelligence 28, no. 2 (2014): 2990–97. http://dx.doi.org/10.1609/aaai.v28i2.19023.

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Aircraft maintenance and training play one of the most important roles in ensuring flight safety. The maintenance process usually involves massive numbers of components and substantial procedural knowledge of maintenance procedures. Maintenance tasks require technicians to follow rigorous procedures to prevent operational errors in the maintenance process. In addition, the maintenance time is a cost-sensitive issue for airlines. This paper proposes intelligent augmented reality (IAR) system to minimize operation errors and time-related costs and help aircraft technicians cope with complex task

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Šuman, Sabrina, Alen Jakupović, and Francesca Gržinić Kuljanac. "Knowledge-Based Systems for Data Modelling." International Journal of Enterprise Information Systems 12, no. 2 (2016): 1–13. http://dx.doi.org/10.4018/ijeis.2016040101.

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Data modelling is a complex process that depends on the knowledge and experience of the designers who carry it out. The quality of created models has a significant impact on the quality of successive phases of information systems development. This paper, in short, reviews the data modelling process, the entity-relationship method (ERM) and actors in the data modelling process. Further, in more detail it presents systems, methods, and tools for the data modelling process and identifies problems that occur during the development phase of an information system. These problems also represent the a

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Arnold, Vicky, Nicole Clark, Philip A. Collier, Stewart A. Leech, and Steve G. Sutton. "An Investigation of Knowledge-Based Systems' Use to Promote Judgment Consistency in Multicultural Firm Environments." Journal of Emerging Technologies in Accounting 2, no. 1 (2005): 33–59. http://dx.doi.org/10.2308/jeta.2005.2.1.33.

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Knowledge-based systems (KBS) have long been advocated as a method for promoting consistency in judgment across professional service organizations such as accountancy firms. Recent movements toward unification of standards for accounting, auditing and insolvency have increased the pressure on these firms to further enhance judgment consistency across firm locations throughout the world. Yet, little is known about the usefulness and/or impact of KBS in promoting judgment consistency in multicultural firm environments. This paper reports the results of a study that examines the use of a KBS in a

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MOULIANITIS, V. C., A. J. DENTSORAS, and N. A. ASPRAGATHOS. "A knowledge-based system for the conceptual design of grippers for handling fabrics." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 13, no. 1 (1999): 13–25. http://dx.doi.org/10.1017/s0890060499131020.

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The paper presents a knowledge-based system (KBS) for the conceptual design of grippers for handling fabrics. Its main purpose is the integration of the domain knowledge in a single system for the systematic design of this type of grippers. The knowledge presented, in terms of gripper, material and handling process, are classified. The reasoning strategy is based upon a combination of a depth-first search method and a heuristic method. The heuristic search method finds a final solution from a given set of feasible solutions and can synthesize new solutions to accomplish the required specificat

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FONG, JOSEPH, and SHI-MING HUANG. "A FRAME MODEL APPROACH FOR EXPERT AND DATABASE SYSTEM INTEGRATION." International Journal of Software Engineering and Knowledge Engineering 09, no. 03 (1999): 369–96. http://dx.doi.org/10.1142/s021819409900022x.

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Expert systems (ES) and database systems (DBS) are major components of information systems and important assets to companies. The development of these systems represent users' knowledge in the application systems. As computer technologies evolve, and as users requirements change, there is a need to upgrade these system to meet the new application requirements. To preserve the knowledge of the existing information systems, a methodology for integrating ES and DBS into an expert database system (EDS) is proposed. The integrated EDS is a knowledge based system (KBS) which derives and stores knowl

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LUXHOJ, J. T., D. AGNIHOTRI, S. KAZUNAS, and S. NAMBIAR. "A prototype knowledge-based system (KBS) for selection of inventory control policies." International Journal of Production Research 31, no. 7 (1993): 1709–20. http://dx.doi.org/10.1080/00207549308956818.

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Li, Bo, Tingting Li, Qing Jiang, et al. "A Knowledge-Based System for Disaster Emergency Relief." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 11 (2020): 2059038. http://dx.doi.org/10.1142/s0218001420590387.

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Natural disasters have had great impact on human beings. Emergency relief is becoming more important with the increase of the frequency and scale of humanitarian emergencies resulting from more natural disasters because of climate change. In this paper, an interesting hybrid knowledge representation method during the development of a KBS for design of emergency relief structures is presented. It encapsulates ill-structured, semi-structured and structured knowledge that is gathered from literature, human expert and even knowledge gleaned during the system development. All routine as well as cum

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Cong, Kai, Lin Zhang, Nan Si, and Hui Zhang. "Research on Knowledge Base System for Semantic SOA." Applied Mechanics and Materials 16-19 (October 2009): 688–92. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.688.

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To handle semantic heterogeneity, enhance semantic interoperability and achieve automatic understanding and managing of services in the SOA integrated systems, semantic support was required and the SOA should be extended to the semantic SOA (SSOA). For complex product advanced manufacturing systems, a knowledge base (KB) was built by analyzing and abstracting multidisciplinary knowledge of complex product fields. Based on the KB, a knowledge base system (KBS) architecture was proposed to provide semantic support for information sharing and exchanging at the knowledge level.

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Awoniran, OM, HA Soriyan, and AA Elujoba. "A Framework for Knowledge Capture in African Traditional Treatment of Malaria." Nigerian Journal of Natural Products and Medicine 19 (August 31, 2015): 126–33. http://dx.doi.org/10.4314/njnpm.v19i0.15.

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This study developed, implemented and evaluated a framework for the means of knowledge capture in African traditional medicine (ATM) practice. This was with a view to enhancing the preservation of knowledge and hence the continual exploitation of African traditional healing techniques in malaria therapy. The methodology adopted involved knowledge elicitation by means of an interview scheme administered on a number of African traditional medicine practitioners (ATMPs) in Ile-Ife and its environs. The data taken from the practitioners were analyzed using the general architecture for text enginee

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Sim, W. M., R. C. Dewes, and D. K. Aspinwall. "An integrated approach to the high-speed machining of moulds and dies involving both a knowledge-based system and a chatter detection and control system." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 12 (2002): 1635–46. http://dx.doi.org/10.1243/095440502321016369.

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Over the past decade, high-speed machining (HSM) has provided a step change in productivity for the manufacture of moulds and dies, particularly those made from tool steels in the fully hardened state. Advantages include reduced machining times and costs and favourable workpiece surface integrity. The knowledge and expertise that have been generated in academia and industry are widespread and important for the efficient utilization of HSM. Following a survey of relevant publications, the present paper details the development of an integrated system for the HSM of moulds and dies. This included

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Aranda-Corral, Gonzalo A., Joaquín Borrego-Díaz, Juan Galán-Páez, and Daniel Rodríguez-Chavarría. "Towards a Notion of Basis for Knowledge-Based Systems—Applications." Mathematics 9, no. 3 (2021): 252. http://dx.doi.org/10.3390/math9030252.

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In the paradigm of Knowledge-Based Systems (KBS), the design of methods to simplify the reasoning leads to more efficient processes. A point of view that provides valuable insights is the algebraic one. In this work, a notion of basis (and dimension) for Knowledge Bases in Propositional Logic associated with knowledge forgetting is introduced. It is based on ideas that come from the translation of such logic in (Computer) Algebra, particularly from the interpretation of variable forgetting. In this paper, the concept of weak base is defined as a set of variables sufficient to decide the consis

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COENEN, FRANS, TREVOR BENCH-CAPON, ROBIN BOSWELL, et al. "Validation and verification of knowledge-based systems: report on EUROVAV99." Knowledge Engineering Review 15, no. 2 (2000): 187–96. http://dx.doi.org/10.1017/s0269888900002010.

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Knowledge-Based (KB) technology is being applied to complex problem solving and safety and business critical tasks in many application domains. Concerns have naturally arisen as to the dependability of Knowledge-Based Systems (KBS). As with any software, attention to quality and safety must be paid throughout development of a KBS, and rigorous Verification and Validation (V&V) techniques must be employed. Research in V&V of KBSs has emerged as a distinct field only in the last decade, and is intended to address issues associated with quality and safety aspects of KBSs, and to provide s

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Chang, Danni, and Chun-Hsien Chen. "Digital design and manufacturing of wood head golf club in a cyber physical environment." Industrial Management & Data Systems 117, no. 4 (2017): 648–71. http://dx.doi.org/10.1108/imds-07-2016-0280.

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Purpose The purpose of this paper is to establish a cyber physical environment for digital product design and manufacturing. To realize this goal, the specific issue of integrating design knowledge-based system (KBS) and 3D printing (3DP) system is focused. A graphics generation method is thereby developed to transform the KBS outputs into graphical format which can be directly read and manufactured by 3DP system. Design/methodology/approach A graphics generation method is proposed in this paper. Through organizing alphanumeric outputs of the consultation session with a design KBS into paramet

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Spitzer, K., W. Honekamp, and C. Spreckelsen. "Present Situation and Prospect of Medical Knowledge Based Systems in German-speaking Countries." Methods of Information in Medicine 51, no. 04 (2012): 281–94. http://dx.doi.org/10.3414/me11-01-0084.

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SummaryBackground: After a decrease of interest in classical medical expert systems, the publication activity concerning the medical application of Artificial Intelligence and the interest in medical decision support have markedly increased. Nonetheless, no systematic exploratory study has yet been carried out, which directly considers the actual fields of applications, exemplary approaches, obstacles, challenges, and future prospect as seen by pioneering users and developers in a given region.Objectives: This paper reports the results of an online survey designed to fill this gap with the “Kn

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Fang, Xiu Susie, Quan Z. Sheng, Xianzhi Wang, Anne H. H. Ngu, and Yihong Zhang. "GrandBase: generating actionable knowledge from Big Data." PSU Research Review 1, no. 2 (2017): 105–26. http://dx.doi.org/10.1108/prr-01-2017-0005.

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Purpose This paper aims to propose a system for generating actionable knowledge from Big Data and use this system to construct a comprehensive knowledge base (KB), called GrandBase. Design/methodology/approach In particular, this study extracts new predicates from four types of data sources, namely, Web texts, Document Object Model (DOM) trees, existing KBs and query stream to augment the ontology of the existing KB (i.e. Freebase). In addition, a graph-based approach to conduct better truth discovery for multi-valued predicates is also proposed. Findings Empirical studies demonstrate the effe

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Dixit, Prashant, Harish Nagar, and Sarvottam Dixit. "Student Performance Prediction Using Case Based Reasoning Knowledge Base System (CBR-KBS) Based Data Mining." International Journal of Information and Education Technology 12, no. 1 (2022): 30–35. http://dx.doi.org/10.18178/ijiet.2022.12.1.1583.

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Higher education management problems in delivering 100% of graduates who can satisfy business demands. In industry it is often difficult for qualified graduates to identify the appropriate means to evaluate problem - solving abilities as well as shortcomings in the evaluation of problem solving skills. This is partially due to the lack of an adequate methodology. The purpose of this paper is to provide the appropriate CBR-KBS model for predicting and evaluating the characteristics of the student's dataset so as to comply with the parameters of selection required by the university industry. Mac

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M. Nema, Bashar, Yasmin Makki Mohialden, Nadia Mahmood Hussien, and Nael Ali Hussein. "COVID-19 knowledge-based system for diagnosis in Iraq using IoT environment." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 1 (2021): 328. http://dx.doi.org/10.11591/ijeecs.v21.i1.pp328-337.

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<p><span>The importance and benefits of healthcare mobile applications is increasing rapidly, especially when such applications are connected to the internet of things (IoT). This paper d<a name="_Hlk39949144"></a>escribes a smart knowledge-based system (KBS) that helps patients showing symptoms of Influenza verify being infected with Coronavirus, commonly known as COVID-19. In addition to the systems’ diagnostic functionality, it helps these patients get medical assistance fast by notifying medical authorities using the IoT. This system displays patient’s location, pho

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Sakarinto, Wikan, Setyawan Bekti Wibowo, Hiroshi Narazaki, and Keiichi Shirase. "Application of Automated Context-Based DSS for Determining CNC Machining Parameter." International Journal of Automation Technology 6, no. 6 (2012): 765–74. http://dx.doi.org/10.20965/ijat.2012.p0765.

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This paper describes the implementation of proposed KBS automatically aware of context or constraints in which the user has to deal with to come up with intelligent DSS. Context is a fundamental information resource that has to do closely with the use of knowledge. The proposedKBS is equipped with the Expert System (ES) providing Decision Support System (DSS), aimed for realizing effective utilization of captured CNC operator knowledge when they assess machining parameters within product data. The newest module in the proposed KBS is equipped with automated contextbased DSS constructed from in

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Sun, Bao Fu, and Yang Song. "Research and Development of a Knowledge-Based System for Blanking Die." Applied Mechanics and Materials 599-601 (August 2014): 396–400. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.396.

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This paper presents the research work involved in the development of knowledge based system (KBS) for blanking die. Automotive covering parts stamping production as one of the important chain of automobile manufacturing, especially the design of blanking die played a vital role. And the success of blanking die design often rely on the experience and knowledge of experts. And because of the knowledge of "privacy", new mold production designer is difficult to be familiar with the design processes and structure parameters in a short period. Such a phenomenon extended the production cycle, and inc

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Omar, Mohammed A., Ahmad Mayyas, and Qilun Zhou. "Energy-Aware Manufacturing Using Information Technology Tools." International Journal of Information Technology and Web Engineering 9, no. 1 (2014): 70–77. http://dx.doi.org/10.4018/ijitwe.2014010106.

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This manuscript discusses the implementation of information technology tools; specifically, computerized Knowledge Based Systems (KBS), in managing the energy flows, conversions, and expenditures within manufacturing environments; including renewable energy sources (namely, landfill gas). The study presents actual KBS embodiments in energy auditing, modeling, and optimization. Additionally, the text presents how IT tools can be used at a system level to integrate sustainability planning within manufacturing planning. The developed tool also addresses the question “how energy-efficient are rene

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Pop, Ioan, and Ilie Soritau. "Sustainable Integrative All-Life Learning as Pragmatic Level in the DIMLAK hetero-hierarchic paradigm to Achieve Advanced Knowledge." DIALOGO 9, no. 1 (2022): 200–208. http://dx.doi.org/10.51917/dialogo.2022.9.1.15.

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A new transdisciplinary perspective on the integration of knowledge is introduced in the context of the informergic society/economy (KBS/E) to achieve, share and implement the knowledge giving the openness to a better understanding of the world, using sustainable, integrative all-life learning. A new more complete perspective on the well-known system of knowledge integration, based on a five steps scale in a synergistic-generative transdisciplinary process to achieve, transfer and implement knowledge in the knowledge-based society/economy (KBS/E) context is configured, connecting DIMLAK knowle

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Nie, Binling, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, and Luo Si. "Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 15 (2021): 13595–603. http://dx.doi.org/10.1609/aaai.v35i15.17603.

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Named Entity Recognition (NER) is a fundamental and important research topic for many downstream NLP tasks, aiming at detecting and classifying named entities (NEs) mentioned in unstructured text into pre-defined categories. Learning from labeled data only is far from enough when it comes to domain-specific or temporally-evolving entities (medical terminologies or restaurant names). Luckily, open-source Knowledge Bases (KBs) (Wikidata and Freebase) contain NEs that are manually labeled with predefined types in different domains, which is potentially beneficial to identify entity boundaries and

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Mansoor, Yousif A., and Zhi Qiang Zhang. "Development of Inspection System for Crack in R.C. Tunnel Lining by Using Knowledge-Based System (KBS)." Advanced Materials Research 622-623 (December 2012): 1415–20. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1415.

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Over the last several years, many concrete tunnels have been constructed for roads, highways, and railways. For safety in concrete tunnel, periodic inspection has been conducted using many testing technologies and techniques. However, these technologies cannot replace visual inspection because of their slow and complicated procedures. For this reason, the Knowledge-Based Systems (KBS) are used to diagnose R.C tunnel lining crack damage (DICRCTL). In this paper, we attempt to propose an alternative to the human expert, to give technical decisions in diagnosing crack damages in second segment of

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JANG, H. C. "A DEVELOPMENT FRAMEWORK AND VERIFICATION METHODOLOGIES FOR KNOWLEDGE-BASED SYSTEMS." International Journal on Artificial Intelligence Tools 04, no. 01n02 (1995): 219–56. http://dx.doi.org/10.1142/s0218213095000127.

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In this paper, we present a development framework and verification methodologies for knowledge-based systems (KBSs) with real-time systems as our target system. The framework originates from an integration of three software development paradigms: rapid prototyping, operational specification, and transformational implementation. Based on this framework, we present RT-FRORL as a formal requirements specification language which exploits knowledge representation techniques as an aid in the specification, development, and verification of a KBS for real-time systems. RT-FRORL uses a combination of r

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Bache, Thomas C., Steven R. Bratt, James Wang, Robert M. Fung, Cris Kobryn, and Jeffrey W. Given. "The Intelligent Monitoring System." Bulletin of the Seismological Society of America 80, no. 6B (1990): 1833–51. http://dx.doi.org/10.1785/bssa08006b1833.

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Abstract The Intelligent Monitoring System (IMS) is a computer system for processing data from seismic arrays and simpler stations to detect, locate, and identify seismic events. The first operational version processes data from two high-frequency arrays (NORESS and ARCESS) in Norway. The IMS computers and functions are distributed between the NORSAR Data Analysis Center (NDAC) near Oslo and the Center for Seismic Studies (Center) in Arlington, Virginia. The IMS modules at NDAC automatically retrieve data from a disk buffer, detect signals, compute signal attributes (amplitude, slowness, azimu

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Randles, Theodore J., and Chris D. Blades. "Creating Explanations That Guide and Motivate." Journal of Information & Knowledge Management 06, no. 01 (2007): 25–32. http://dx.doi.org/10.1142/s0219649207001640.

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Based on a description of a knowledge continuum and on the knowledge combustion and vehicle analogy, problems regarding the explanation facilities of knowledge-based systems (KBS) are addressed. Furthermore, drawing from the lessons learned from the analysis of the video recordings of medical diagnostic telemedicine consultations, a new approach for developing justification and strategic explanation facilities for KBS is presented. Rather than enabling computers to make profound decisions and generate convincing explanations, which is not technically feasible according to the knowledge continu

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Gentillon, Hugues, Ludomir Stefańczyk, Michał Strzelecki, and Maria Respondek-Liberska. "Texture analysis of the developing human brain using customization of a knowledge-based system." F1000Research 6 (January 12, 2017): 40. http://dx.doi.org/10.12688/f1000research.10401.1.

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Background: Pattern recognition software originally designed for geospatial and other technical applications could be trained by physicians and used as texture-analysis tools for evidence-based practice, in order to improve diagnostic imaging examination during pregnancy. Methods: Various machine-learning techniques and customized datasets were assessed for training of an integrable knowledge-based system (KBS), to determine a hypothetical methodology for texture classification of closely-related anatomical structures in fetal brain magnetic resonance (MR) images. Samples were manually categor

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