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Journal articles on the topic 'Knowledge base tools'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Karayev, Robert, Natella Sadikhova, and Khatira Imamverdiyeva. "Production-Tabular Knowledge Base Correctness Checking Tools." British Journal of Applied Science & Technology 14, no. 6 (2016): 1–6. http://dx.doi.org/10.9734/bjast/2016/22737.

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2

Kovalev, M. V. "Semantic models and tools for the development of artificial neural networks and their integration into knowledge bases." Informatics 20, no. 3 (2023): 90–105. http://dx.doi.org/10.37661/1816-0301-2023-20-3-90-105.

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Objectives. Specifications of models and tools for the development of artificial neural networks (ANNs) and their integration into knowledge bases (KBs) of intelligent systems are being developed. The relevance is determined by the necessity of implementing the possibility to solve complex problems by intelligent systems, which algorithms and methods of solving are not available in the knowledge base of the intelligent system.Methods. Four levels of integration of artificial neural networks into knowledge bases are formulated and analyzed. During the analysis the requirements and specification

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3

Birmingham, William, and Georg Klinker. "Knowledge-acquisition tools with explicit problem-solving models." Knowledge Engineering Review 8, no. 1 (1993): 5–25. http://dx.doi.org/10.1017/s0269888900000047.

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AbstractIn the past decade, expert systems have been applied to a wide variety of application tasks. A central problem of expert system development and maintenance is the demand placed on knowledge engineers and domain experts. A commonly proposed solution is knowledge-acquisition tools. This paper reviews a class of knowledge-acquisition tools that presuppose the problem-solving method, as well as the structure of the knowledge base. These explicit problem-solving models are exploited by the tools during knowledge-acquisition, knowledge generalization, error checking and code generation.

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Sakr, K. M., and M. U. Hosain. "Applications of expert system building tools in structural design." Canadian Journal of Civil Engineering 18, no. 3 (1991): 493–503. http://dx.doi.org/10.1139/l91-060.

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This paper summarizes the basic concepts of expert systems and describes some of the applications of three commercially available expert system tools. The function of the various components of the tools is explained using simple design examples. It is concluded that a tool can be employed to develop useful expert systems for real-world applications, provided factual and heuristic material is available for creating a knowledge base. Key words: artificial intelligence, knowledge-based expert systems, knowledge base, inference mechanism, expert system building tools, structural design, applicatio

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Simmons, Dick B., and Terry D. Escamilla. "The Mechanics of Representing Knowledge." Proceedings of the Human Factors Society Annual Meeting 33, no. 5 (1989): 361–63. http://dx.doi.org/10.1177/154193128903300528.

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This paper describes mechanical knowledge representation schemes found in several popular expert system building tools (ESBTs). In order to realize the full potential of ESBTs, it must be possible to develop a knowledge base in one ESBT and transfer the knowledge into another. Porting a knowledge base across ESBTs requires a clear understanding of the mechanical knowledge representation properties supported by each tool. In the following discussion, properties considered include: canonicity; truth value; plausibility, certainty, and possibility (PCP); temporality; and procedural knowledge. The

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Chuprina, S. I., and A. S. Minin. "Methods and tools to build ontology driven knowledge acquisition systems." Вестник Пермского университета. Математика. Механика. Информатика, no. 4(55) (2021): 25–34. http://dx.doi.org/10.17072/1993-0550-2021-4-25-34.

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The article discusses the main existing methods and tools for automating the process of acquiring knowledge, and also presents the concept of an approach to the application of knowledge engineering methods of building the ontology driven knowledge acquisition systems. Automation of the process of production expert system knowledge base building uses the principles of adaptability to the specifics of the application domain and third-party information resources is demonstrated. A distinctive feature of the proposed approach is the active nature of the dialogue within the knowledge extraction sys

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Li, Li, Bing Li, and Yi Lin Shen. "Building of Domain Knowledge Base by Ontology." Advanced Materials Research 159 (December 2010): 477–80. http://dx.doi.org/10.4028/www.scientific.net/amr.159.477.

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In this paper, method of building domain knowledge base is proposed through the comparison of ontology and other tools for knowledge expression. In addition, we lay out a model to describe the procedure vividly. Facts show that ontology is the best way to build domain knowledge.

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Pidnebesna, Halyna A. "The Design of Inductive Modeling Tools Using Ontologies." Control Systems and Computers, no. 6 (290) (December 2020): 46–54. http://dx.doi.org/10.15407/csc.2020.06.046.

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The architecture of the GMDH-based inductive modeling tools is considered. A feature is the use of the knowledge base in the form of an ontology of the subject area of inductive modeling. The application of the ontological approach to the design of the knowledge base makes it possible to automatically acquire new knowledge, efficiently process information in the modeling of complex objects of different nature according to statistical data, generate queries and obtain logical inferences. Fragments of the GMDH-based inductive modeling ontology are given as an example of creating a formal descrip

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Shwe, M. A., S. W. Tu, and L. M. Fagan. "Validating the Knowledge Base of a Therapy Planning System." Methods of Information in Medicine 28, no. 01 (1989): 36–50. http://dx.doi.org/10.1055/s-0038-1635547.

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Abstract:Validation of expert system knowledge bases has proved to be difficult. This paper presents a description of a system called ScriptGen that generates test data for validating the knowledge base of the ONCOCIN cancer therapy planning system. Because of the size and complexity of the ONCOCIN knowledge base, we require tools for automated validation. ScriptGen, which applies techniques developed in testing both traditional software and expert systems, uses a parallel model of the ONCOCIN knowledge base and its own inference engine to generate test cases. We derived the limits of the syst

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Hussain, Iftikhar, Shakeel Ahmed, and Steven Si. "Personal Knowledge Abilities and Knowledge Management Success." Journal of Information & Knowledge Management 09, no. 04 (2010): 319–27. http://dx.doi.org/10.1142/s021964921000270x.

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Knowledge management success is a hot issue in SMEs. It is obvious that several important factors must be considered for successful implementation, but most small and medium firms have no idea what factors should be considered most heavily. Therefore, the purpose of this study is to expand the base of knowledge in that area, and empirically test the relationship between personal capabilities within SMEs and knowledge management system success. Six factors related to personal capabilities were measured: ambition, skills, behaviour, tools and techniques, time management and personal knowledge. T

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YOO, SUK I., and CHANG H. PARK. "AN INFERENCE BROWSER FOR VERIFYING THE KNOWLEDGE BASE IN KNOWLEDGE-BASED SYSTEMS." International Journal on Artificial Intelligence Tools 02, no. 03 (1993): 349–72. http://dx.doi.org/10.1142/s0218213093000187.

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In developing knowledge-based systems, the process of collecting the knowledge from the experts, representing it in certain formats, and verifying it is required. It is however not easy to verify the formulated knowledge base by checking if a desired conclusion is derived by a sequence of inferring steps. This paper suggests a model of inference browsers by which the knowledge engineers may easily consult a sequence of inferring steps and verify the knowledge base. The suggested inference browser provides the environment in which the knowledge engineers may observe a sequence of inferring step

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Qin, Bin, Fanping Zeng, and Kesong Yan. "Uncertainty Measurement for a Tolerance Knowledge Base." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 28, no. 02 (2020): 331–57. http://dx.doi.org/10.1142/s0218488520500142.

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A knowledge base is an important notion of rough set theory. A tolerance knowledge base is its generalization. Measures of uncertainty as important evaluation tools in the fields of machine learning can measure the dependence and similarity between two targets. This paper investigates uncertainty measurement for a tolerance knowledge base by using its knowledge structure. The knowledge structure of a given tolerance knowledge base is first introduced by means of set vectors. Then, the dependence and independence between knowledge structures of tolerance knowledge bases are depicted. Next, the

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Hicks, Richard C. "Knowledge base management systems-tools for creating verified intelligent systems." Knowledge-Based Systems 16, no. 3 (2003): 165–71. http://dx.doi.org/10.1016/s0950-7051(02)00082-5.

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Leask, Marilyn. "Improving the Professional Knowledge Base for Education: Using Knowledge Management and Web 2.0 Tools." Policy Futures in Education 9, no. 5 (2011): 644–60. http://dx.doi.org/10.2304/pfie.2011.9.5.644.

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15

Succar, Bilal, and Willy Sher. "A Competency Knowledge-Base for BIM Learning." Australasian Journal of Construction Economics and Building - Conference Series 2, no. 2 (2014): 1. http://dx.doi.org/10.5130/ajceb-cs.v2i2.3883.

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Building Information Modelling (BIM) tools and workflows continue to proliferate within the Design, Construction and Operation (DCO) industry. To equip current and future industry professionals with the necessary knowledge and skills to engage in collaborative workflows and integrated project deliverables, it is important to identify the competencies that need to be taught at educational institutions or trained on the job. Expanding upon a collaborative BIM education framework pertaining to a national BIM initiative in Australia, this paper introduces a conceptual workflow to identify, classif

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Zalmanek, Brynn, James Goss, Mialy DeFelice, et al. "Abstract 1675: NF Research Tools Database: A knowledge base of experimental research tools for neurofibromatosis." Cancer Research 82, no. 12_Supplement (2022): 1675. http://dx.doi.org/10.1158/1538-7445.am2022-1675.

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Abstract Research tools, such as model organisms, cell lines, and antibodies, are essential to designing and executing successful biological experiments. These resources are often shared or made commercially available to support scientific progress. Given the fast pace of research, it can be difficult to keep track of the large number of available tools. Moreover, for those new to a particular disease area, learning about the array of tools available can be a major impediment. Our experience in the neurofibromatosis field has shown that researchers struggle to identify the research tools avail

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Thananusak, Trin. "Science Mapping of the Knowledge Base on Sustainable Entrepreneurship, 1996–2019." Sustainability 11, no. 13 (2019): 3565. http://dx.doi.org/10.3390/su11133565.

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After the launch of the United Nations’ Brundtland’s report in 1987, entrepreneurship has been promoted as one of the tools for achieving sustainable development. Since then, the studies in sustainable entrepreneurship have flourished and this topic has emerged as a subfield of entrepreneurship research. In order to examine the current stage of sustainable entrepreneurship (SE) research, this review utilized science mapping tools to analyze 712 Scopus-indexed documents written on the topic of sustainable entrepreneurship. This review assesses the size, publication evolution, and worldwide disp

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Miklošík, Andrej, and Eva Hvizdová. "Knowledge base cloud – a new approach to knowledge management systems architecture." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 4 (2012): 267–80. http://dx.doi.org/10.11118/actaun201260040267.

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This article aims at identifying the limitations of current approaches to knowledge management systems architecture creation and proposing innovative solutions on handling with the emerging issues of the existing methodologies. These findings should encourage the more effective handling with the created knowledge and initiate new knowledge creation with the support of the intelligent tools and systems forming the knowledge management cloud. The authors have proposed a new approach to the knowledge management systems architecture. This principle named knowledge management cloud is defined in th

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Blais, Christine. "Concept Mapping of Movement-Related Knowledge." Perceptual and Motor Skills 76, no. 3 (1993): 767–74. http://dx.doi.org/10.2466/pms.1993.76.3.767.

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Concept mapping was developed by Novak and Gowin in 1984 as a technique to examine an individual's knowledge-base in a given domain. In the motor domain, however, with a heavy emphasis on automated and tacit knowledge there may not be a base of information which can be verbally reported. 52 subjects with similar academic backgrounds were asked to explain all they knew about the concept of movement, and these reports were transcribed and assessed by four judges. Subjects also completed a pattern-recognition task related to procedural knowledge for movement. Over-all, the judges were able to ide

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Mach-Król, Maria. "Tools for Building a Temporal Knowledge Base System Supporting Organizational Creativity." Procedia Computer Science 65 (2015): 1031–37. http://dx.doi.org/10.1016/j.procs.2015.09.056.

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Murillo Montes de Oca, Ambar, Nicolae Nistor, Mihai Dascalu, and Stefan Trausan-Matu. "Designing Smart Knowledge Building Communities." Interaction Design and Architecture(s), no. 22 (September 20, 2014): 9–21. http://dx.doi.org/10.55612/s-5002-022-001.

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Knowledge building communities (KBCs) are environments where learning is continually occurring as a social process, and the collective knowledge base is gradually being expanded upon. Knowledge accessible to all members is produced in collaborative discourse, along with the development and the use of conceptual artifacts. This theoretical contribution discusses the possibilities to foster and design KBCs in a “smart” manner so that they can be connected to formal learning. Firstly, the paper identifies the characteristics of “smartness” for the context of KBCs: participants (individuals and gr

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Steele, Michael D., Caroline S. Gneiting, and Kate R. Johnson. "Tools, Evidence, and Implications: Weighing Issues of Scale in Describing an Intervention." Mathematics Teacher Educator 11, no. 2 (2023): 71–75. http://dx.doi.org/10.5951/mte.2022.0054.

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Previous MTE editorials have focused on the nature of evidence and how it relates to the claims we make, the nature of our tools, and the nature of the contributions to the shared knowledge base. In this editorial, we draw on these perspectives and MTE articles to discuss how we might think about aligning the tools we wish to share, the evidence related to the tool's efficacy, and the implications for aspects of mathematics teacher education.

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Samson, Fabian Nzuanke, and Ngozi Vera Chinaka Uchechi. "Knowledge and Use of Computer-Assisted Translation Tools on Professional Translation in Nigeria." NDỤÑỌDE: Calabar Journal of The Humanities 13, no. 1 (2018): 102–14. https://doi.org/10.5281/zenodo.1467634.

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Abstract In recent years, translation as a global industry has witnessed significant changes due to technological advancement that has introduced different tools to facilitate the work of translators. In Nigeria, such changes presuppose that the average Nigerian translator is expected to change with the times. Yet some of these translators do not seem to have sufficient knowledge of such recently developed translation tools as translation memory software, Voice Recognition and Term-base creation tools. Our study sets out to analyse the awareness level of Nigerian translators vis-à-vis s

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Qwaider, Sabreen R., and Naser Samy S. Abu. "Expert System for Diagnosing Ankle Diseases." International Journal of Engineering and Information Systems (IJEAIS) 1, no. 4 (2017): 89–101. https://doi.org/10.5281/zenodo.821176.

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<strong><em>Abstract</em></strong>: <em>In recent years, technology has evolved significantly to intervene in the treatment of diseases through diagnosis online before going to the specialist doctor, where it become possible for the patient to know the name of his illness, the specialist doctor who can treat him and the multiple treatment methods through specially designed systems called expert systems. </em> <em>The expert system is based on the principle of asking the user gradual questions about the symptoms he feels, leading him to the result of diagnosing the illness, dealing with it quic

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WILDE, NORMAN, SUZANNE W. DIETRICH, and FRANK W. CALLISS. "DESIGNING KNOWLEDGE-BASE TOOLS FOR PROGRAM COMPREHENSION: A COMPARISON OF EDATS & IMCA." International Journal of Software Engineering and Knowledge Engineering 06, no. 04 (1996): 699–716. http://dx.doi.org/10.1142/s0218194096000284.

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Since software engineers spend a large proportion of their time trying to understand computer programs, many tools have been proposed to help them with this task. The construction of such tools raises a series of specification and design issues and requires a careful choice among alternative user interfaces, tool architectures, and knowledge representations. This paper discusses the information needs of software engineers and describes and compares two such tools, the Extensible Dependency Analysis Tool Set (EDATS) and the Inter-Module Code Analysis system (IMCA). A case study is presented sho

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Shortliffe, E. H., and S. Tsuji. "Graphical Access to Medical Expert Systems: I. Design of a Knowledge Engineer’s Interface." Methods of Information in Medicine 25, no. 02 (1986): 62–70. http://dx.doi.org/10.1055/s-0038-1635457.

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SummaryOptimal construction of medical expert systems demands a powerful interactive environment for knowledge base management by knowledge engineers. Key requirements include techniques for (a) examining existing information, (b) adding new knowledge and editing preexisting data structures, and (c) examining dynamic internal system behavior to facilitate debugging during consideration of actual cases. This article addresses design considerations in the development of such knowledge engineering tools. The emphasis is on the use of professional workstations with high density graphics interfaces

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Tsuji, S., and E. H. Shortliffe. "Graphical Access to Medical Expert Systems: I. Design of a Knowledge Engineer’s Interface." Methods of Information in Medicine 25, no. 02 (1986): 62–70. http://dx.doi.org/10.1055/s-0038-1636678.

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SummaryOptimal construction of medical expert systems demands a powerful interactive environment for knowledge base management by knowledge engineers. Key requirements include techniques for (a) examining existing information, (b) adding new knowledge and editing preexisting data structures, and (c) examining dynamic internal system behavior to facilitate debugging during consideration of actual cases. This article addresses design considerations in the development of such knowledge engineering tools. The emphasis is on the use of professional workstations with high density graphics interfaces

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Kerner, Adeline, and Lebbe Régine Vignes. "Multi-context Knowledge Base using Calculated Descriptors from Xper3: the Archaeocyaths Knowledge Base example." Biodiversity Information Science and Standards 3 (June 13, 2019): e37083. https://doi.org/10.3897/biss.3.37083.

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Natural sciences need to make assertions about characteristics of taxa. Traits and qualities or descriptors and states become increasingly crucial as a resource for identification adapted to both scientists and the public. Specialists, non-specialists, and the general public need different strategies for accessing the information. Creating a knowledge base is time-consuming and adapting this base to several needs seems to increase the required time substantially. Specialists think that an identification tool requires a complete overhaul when they want to change the target audience or the langu

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Abinowi, Egi, Aminudin Aminudin, and Irfan Hadian Fathurrahman. "Knowledge Management Cloud Base CV Idru Varen." International Journal of Engineering Business and Social Science 3, no. 4 (2025): 1–8. https://doi.org/10.58451/ijebss.v3i4.243.

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This study explores the implementation of a cloud-based Knowledge Management (KM) system at CV Idru Varen, aiming to improve the efficiency of knowledge transfer and organizational performance. The research focuses on overcoming the barriers of fragmented information systems, slow decision-making processes, and operational delays. The developed KM system integrates various cloud-based tools for storing, sharing, and managing knowledge across departments, improving collaboration, data integration, and resource management. The study finds that the system significantly reduces operational costs,

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Bettoni, Marco, and Eddie Obeng. "Joint Knowledge Base: A Key to Knowledge Sharing and Collaboration." INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION 9, no. 5 (2023): 36–45. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.95.1003.

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Knowledge sharing is a key to successful collaboration (online or in presence), and since collaboration is changing due to the increasingly emerging so-called “New Collaboration,” knowledge sharing should adjust accordingly: we call this New Knowledge Sharing. Organizations wishing to exploit the potential of New Collaboration need to understand how the new knowledge sharing and collaboration are related and, in particular, how they proceed, the very steps of their interwoven process. During our previous work, the concept of a Joint Knowledge Base (abbreviated to J.K.B.) emerged and became inc

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Moser, Thomas, Stefan Biffl, Wikan Danar Sunindyo, and Dietmar Winkler. "Integrating Production Automation Expert Knowledge Across Engineering Domains." International Journal of Distributed Systems and Technologies 2, no. 3 (2011): 88–103. http://dx.doi.org/10.4018/jdst.2011070106.

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The engineering of a complex production automation system involves experts from several backgrounds, such as mechanical, electrical, and software engineering. The production automation expert knowledge is embedded in their tools and data models, which are, unfortunately, insufficiently integrated across the expert disciplines, due to semantically heterogeneous data structures and terminologies. Traditional integration approaches to data integration using a common repository are limited as they require an agreement on a common data schema by all project stakeholders. This paper introduces the E

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Teslya, Nikolay N., Vsevolod D. Shutiuk, Vladislav M. Zharkov, Arseny P. Vityazev, and Georgiy V. Sipovsky. "Method for named entities linking with concepts of the Wikidata knowledge base." Transactions of the Kоla Science Centre of RAS. Series: Engineering Sciences 14, no. 7/2023 (2024): 5–15. http://dx.doi.org/10.37614/2949-1215.2023.14.7.001.

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The paper presents a method for automatically linking named entities in Russian-language texts with concepts from the Wikidata knowledge base. It is based on the use of named entity search tools with subsequent semantic analysis of the correspondence of the found entity to the concept in the knowledge base. The resulting links can later be used to form a linked corpus of texts in any subject area. The difference between the presented method and existing ones is the analysis of both the named entity itself, its attributes, as well as associated words without the use of machine learning methods.

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Da Costa, Luis Antonio L. F., Mateus Begnini Melchiades, Valéria Soldera Girelli, et al. "Advancing Chatbot Conversations: A Review of Knowledge Update Approaches." Journal of the Brazilian Computer Society 30, no. 1 (2024): 55–68. http://dx.doi.org/10.5753/jbcs.2024.2882.

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Conversational systems like chatbots have emerged as powerful tools for automating interactive tasks traditionally confined to human involvement. Fundamental to chatbot functionality is their knowledge base, the foundation of their reasoning processes. A pivotal challenge resides in chatbots' innate incapacity to seamlessly integrate changes within their knowledge base, thereby hindering their ability to provide real-time responses. The increasing literature attention dedicated to effective knowledge base updates, which we term content update, underscores the significance of this topic. This w

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Bouzar-Benlabiod, Lydia, Salem Benferhat, and Thouraya Bouabana-Tebibel. "Comparing and Weakening Possibilistic Knowledge Bases." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 22, no. 02 (2014): 181–203. http://dx.doi.org/10.1142/s0218488514500081.

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Weighted logics are important tools for reasoning under uncertain knowledge. A weighted knowledge base is a set of weighted formulas of the form (φi, αi) where φi is a propositional formula and αi is the certainty degree associated with φi. This paper addresses two issues in the possibility theory framework: i) how to compare two weighted knowledge bases with respect to their information contents? and ii) how to syntactically define the concept of forgetting variables? We show that comparing knowledge bases is the counterpart of the concept of the specificity relation defined between possibili

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Lewandowska-Tranda, Mirosława, and Maria Miller-Jankowska. "Uczelniana baza wiedzy jako przykład systemu CRIS. Z doświadczeń Biblioteki Głównej Politechniki Warszawskiej." Studia o Książce i Informacji (dawniej: Bibliotekoznawstwo) 35 (July 12, 2017): 103–18. http://dx.doi.org/10.19195/2300-7729.35.6.

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The university base of knowledge as a CRIS type system. The experience of the Main Library of WUTThe paper presents the university base of knowledge as aCRIS type system and at the same time an institutional repository. Systems CRIS Current Research Information System currently being developed by the scientific community gather comprehensive Information about research conducted at individual institutions. The WUT Base of Knowledge using proprietary software OMEGA-PSIR is an example connecting system CRIS and auniversity repository, collecting and preserving intellectual output of WUT. Base of

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Xu, Xiao Li, Bin Ren, Yun Bo Zuo, and Guo Xin Wu. "Research on Fault Knowledge Base Technology of High-End CNC Machining System." Advanced Materials Research 308-310 (August 2011): 35–40. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.35.

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In the high-end CNC machining process, the stability and reliability of the running state of the machining system directly affects the machining accuracy and work-piece quality. In order to effectively ensure the reliable, stable, safe operation of the high-end CNC machining system, the fault knowledge base technology construction for the cutting tool system is carried out. It focuses on the high-end CNC machine tools, and build the condition monitoring system test platform with cutting tool system as the core; the fault sample acquisition method based on the rough set theory is proposed; a kn

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Regulski, K. "Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques." Archives of Metallurgy and Materials 62, no. 2 (2017): 715–20. http://dx.doi.org/10.1515/amm-2017-0108.

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AbstractThe process of knowledge formalization is an essential part of decision support systems development. Creating a technological knowledge base in the field of metallurgy encountered problems in acquisition and codifying reusable computer artifacts based on text documents. The aim of the work was to adapt the algorithms for classification of documents and to develop a method of semantic integration of a created repository. Author used artificial intelligence tools: latent semantic indexing, rough sets, association rules learning and ontologies as a tool for integration. The developed meth

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CHENG, Yu, Guanming HUANG, Yishun WU, Zijie ZHAO, Zhenhao HE, and Jiaxing LU. "Ask Me Any Type: Type Inference Plugin for Partial Code on the Web and in the Integrated Development Environment." Wuhan University Journal of Natural Sciences 29, no. 4 (2024): 349–56. http://dx.doi.org/10.1051/wujns/2024294349.

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Inferring the fully qualified names (FQNs) of undeclared receiving objects and non-fully-qualified type names (non-FQNs) in partial code is critical for effectively searching, understanding, and reusing partial code. Existing type inference tools, such as COSTER and SNR, rely on a symbolic knowledge base and adopt a dictionary-lookup strategy to map simple names of undeclared receiving objects and non-FQNs to FQNs. However, building a symbolic knowledge base requires parsing compilable code files, which limits the collection of APIs and code contexts, resulting in out-of-vocabulary (OOV) failu

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Andrii, Tkachuk, and Bulakh Bogdan. "Usage of formalized knowledge about source code for refactoring actions in Swift." Technology audit and production reserves 6, no. 2(68) (2022): 6–10. https://doi.org/10.15587/2706-5448.2022.267160.

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<em>The object of research in the paper is the source code of a software product written in the Swift programming language. Most programs as a product of a certain project during the life cycle require changes and modifications, which is costly or impossible to implement in the case of poor code quality. One of the options for solving the problem of poor code quality is the timely application of refactoring principles. The existing problem is that implementation of high-level refactoring must be done manually by the developer without the use of automated tools as built-in solutions cannot fulf

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Shahsavar, N., H. Åhlfeldt, O. Wigertz, and B. Johansson. "Database and Knowledge Base Integration – A Data Mapping Method for Arden Syntax Knowledge Modules." Methods of Information in Medicine 35, no. 04/05 (1996): 302–8. http://dx.doi.org/10.1055/s-0038-1634677.

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Abstract:One of the most important categories of decision-support systems in medicine are data driven systems where the inference engine is linked to a database. It is, therefore, important to find methods that facilitate the implementation of database queries referred to in the knowledge modules. A method is described for linking clinical databases to a knowledge base with Arden Syntax modules. The method is based on a query meta-database including templates for SQL queries which is maintained by a database administrator. During knowledge module authoring the medical expert refers only to a c

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Druzhinina, O. V., I. A. Karpacheva, O. N. Masina, and A. A. Petrov. "Development of an Integrated Complex of Knowledge Base and Tools of Expert Systems for Assessing Knowledge of Students in Mathematics within the Framework of a Hybrid Intelligent Learning Environment." International Journal of Education and Information Technologies 15 (June 23, 2021): 122–29. http://dx.doi.org/10.46300/9109.2021.15.12.

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The paper is devoted to the development of instrumental and methodological support for the assessment of students' knowledge in mathematics in the framework of a hybrid intellectual learning environment. According to the structural scheme of the model of intellectual assessment of knowledge and creative potential of students in mathematics, the structure of the corresponding knowledge base is formalized. Knowledge base within the framework of data mining methods to create a module for monitoring and evaluating knowledge in mathematics has been developed. To model the educational process the au

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Sui, Xiu Lin, Na Hu, and Chun Hong Zhang. "Design of the CNC Milling Tool Selection System." Applied Mechanics and Materials 148-149 (December 2011): 153–57. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.153.

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Knowledge base of milling feature machining based on relational database is proposed, using knowledge representation of production rules, according to the characteristics of feature machining knowledge. Tool selected reasoning mechanism and reasoning processes is presented basing the installed CNC milling tool database , and further reasoning is based on knowledge, milling tool selection method is implemented based on feature machining knowledge using the forward direction inference strategy .In the paper, a complete system of the selecting milling cutter is established. The system connects no

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Ahmad, Sajjad, and Slobodan P. Simonovic. "Integration of heuristic knowledge with analytical tools for the selection of flood damage reduction measures." Canadian Journal of Civil Engineering 28, no. 2 (2001): 208–21. http://dx.doi.org/10.1139/l00-097.

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Heuristic knowledge has been integrated with analytical tools to support decision making for flood management. Development of an expert system called Intelligent Flood Management System for the selection of appropriate flood damage reduction measures for a given area is described. The selection of flood damage reduction measures is based on hydraulic, hydrological, geotechnical, environmental, and economic factors related to the river system and the area to be protected from floods. The knowledge base of the Intelligent Flood Management System is generic and can be used to identify a suitable

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Del Fiol, G., R. A. Rocha, and N. C. Hulse. "Modeling End-users’ Acceptance of a Knowledge Authoring Tool." Methods of Information in Medicine 45, no. 05 (2006): 528–35. http://dx.doi.org/10.1055/s-0038-1634114.

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Summary Objectives: Knowledge bases comprise a vital component in the classic medical expert system model, yet the knowledge acquisition process by which they are created has been characterized as highly iterative and labor-intensive. The difficulty of this process underscores the importance of knowledge authoring tools that satisfy the demands of end-users. The authors hypothesize that the acceptability of a knowledge authoring tool for the creation of medical knowledge base content can be predicted by an accepted model in the information technology (IT) field, specifically the Technology Acc

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VELÁSQUEZ, JUAN D., and VASILE PALADE. "BUILDING A KNOWLEDGE BASE FOR IMPLEMENTING A WEB-BASED COMPUTERIZED RECOMMENDATION SYSTEM." International Journal on Artificial Intelligence Tools 16, no. 05 (2007): 793–828. http://dx.doi.org/10.1142/s0218213007003552.

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Understanding the web user browsing behaviour in order to adapt a web site to the needs of a particular user represents a key issue for many commercial companies that do their business over the Internet. This paper presents the implementation of a Knowledge Base (KB) for building web-based computerized recommender systems. The Knowledge Base consists of a Pattern Repository that contains patterns extracted from web logs and web pages, by applying various web mining tools, and a Rule Repository containing rules that describe the use of discovered patterns for building navigation or web site mod

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Sokil, M. "Ontological Approach to Structuring a Library Knowledge Base Based on Metadata. Analytical Overview." Visnyk of Kharkiv State Academy of Culture, no. 67 (June 17, 2025): 268–79. https://doi.org/10.31516/2410-5333.067.18.

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The relevance of the research. In the digital age, libraries require sophisticated tools to manage and analyze vast amounts of information. Traditional systems struggle with the complexities of digital resources, hindering data management and user service. Ontological models offer a promising solution. This research studies innovative approaches to structuring library knowledge bases using metadata. The purpose. This study aims to develop an ontological model for structuring library knowledge bases based on metadata, integrating standards like Dublin Core and MARC21. The purpose is to improve

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Shahbari, Juhaina Awawdeh, and Moshe Stupel. "Complementary Euclidean Geometry and Trigonometry in Solving Tasks." International Journal for Technology in Mathematics Education 29, no. 2 (2022): 97–103. http://dx.doi.org/10.1564/tme_v29.2.04.

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This paper presents research activity in the solution of geometric tasks by mathematics teachers and by mathematics teacher trainees at a College of Education as part of an advanced courses. This activity tested the level of knowledge and ability to apply it in the solution of problems that can be solved in a number of ways: by using various tools from the same branch of mathematics, or by integrating tools from several mathematical branches. The participants left the classroom research activity with an understanding of the importance of the knowledge base and the ability to use various tools

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Haines, Karen. "Expanding the knowledge base of teachers' use of communication tools for language learning." System 62 (November 2016): 102–12. http://dx.doi.org/10.1016/j.system.2016.07.008.

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Druzhinina, Olga V., Irina A. Karpacheva, Olga N. Masina, and Alexey A. Petrov. "DEVELOPMENT OF INSTRUMENTAL AND METHODOLOGICAL SUPPORT FOR THE ASSESSMENT OF STUDENTS ' KNOWLEDGE IN MATHEMATICS IN THE FRAMEWORK OF HYBRID INTELLIGENT LEARNING ENVIRONMENT." Educational Psychology in Polycultural Space 54, no. 2 (2021): 48–65. http://dx.doi.org/10.24888/2073-8439-2021-54-2-48-65.

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The article is devoted to the development of an integrated complex of knowledge base and artifi-cial intelligence tools for assessing students' knowledge in mathematics within the framework of a hybrid intellectual learning environment. In accordance with the structural diagrams of mod-els of intellectual assessment of knowledge and creative potential of schoolchildren in mathe-matics, the structure of the corresponding knowledge base is formalized. The knowledge base is developed within the framework of data mining methods to create a module for monitoring and assessing knowledge in mathemati

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Wang, Kang, Runhua Tan, and Qingjin Peng. "Product Improvement Using Knowledge Mining and Effect Analogy." Applied Sciences 14, no. 9 (2024): 3699. http://dx.doi.org/10.3390/app14093699.

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Different from new product development, design improvement aims to solve the problems of existing products. Although design knowledge and effect tools have been applied in product improvement, the existing methods for design improvement are limited in their specific application areas. A general method of product improvement is proposed in this paper using the knowledge mining and effect analogy. The length–time dimension is introduced to link the problem analysis and problem-solving for the first time. This method includes the effect knowledge base construction, length–time dimension extractio

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