Integrated Knowledge Management System Research Articles

KNOWLEDGE MANAGEMENT IN THE CONDITIONS OF INDUSTRIAL ENTERPRISES INTELLECTUALIZATION AND DIGITALIZATION DEVELOPMENT

Objective. The purpose of the research is to deepen the methodological and applied foundations of knowledge management in the conditions of industrial enterprises intellectualization and digitalization development. Methodology. The methodological basis of the research article is a set of theories and concepts that contribute to a full understanding of the knowledge management process of the content at an enterprise in the context of intellectualization and digitalization: theories of knowledge economy, entrepreneurship, institutionalism, microeconomic theory of knowledge management, theory of new knowledge acquisition; the concept of information society; the concept of intellectual capital; the concept of social capital. The methodology is based on system analysis as a scientific method of researching the enterprise knowledge management functions. The study used quantitative and qualitative methods of data and information collection and analysis; methods of analytical, situational analysis and synthesis; comparative analysis, generalization of scientific experience of modern theoretical research, and a systemic and integrated approach. Results. The article outlines the important role of knowledge management in creating competitive advantages, increasing the value of enterprises and ensuring their long-term sustainable development. A new understanding of the essence of the categories of “knowledge management of an industrial enterprise” and “knowledge management system of an industrial enterprise” has been proposed. A theoretical generalization of the concept of knowledge management of industrial enterprises has been carried out. The article describes new trends in the knowledge management system based on the synergistic relationship between technological components and behavioral aspects in management. The scientific novelty lies in improving the methodology and concept of an integrated knowledge management system and methodological support for its effective practical application. The implementation of the knowledge management system in the conditions of intellectualization and digitalization is substantiated, which improves knowledge accumulation processes, integrates knowledge into the field of the enterprise activity and ensures the exchange of knowledge between employees and key stakeholders. Modern knowledge management tools that enable intellectualization and high-quality digitalization of an enterprise are identified. Recommendations for improving knowledge management at industrial enterprises have been developed, as well as mechanisms for their practical implementation have been proposed. Practical significance of the obtained results. The author’s developments and recommendations can be used to effectively use the intellectual potential of an enterprises to increase economic added value through the growth of organizational knowledge.

Ontologization of tools for modeling and synthesis technological process trajectories

The publication is devoted to the development of an ontological model of tools for intelligent modeling and synthesis of the trajectories of technological processes in electric power networks. Development includes two levels of modeling: the level of metaontology and the level of applied ontologies. At the upper level, the structure of the upper level is proposed and described. At the level of applied ontologies, the ontology of the “digital substation - distribution network” system and the structure for the ontology of tasks are detailed. The first is implemented and presented in the Protégé framework environment. The second is presented descriptively by the example of the task of minimizing energy losses at the level of a transformer substation with an illustration of a functional diagram of the technological chain of its solution. The findings of the work reflect the potential of using the proposed solution to prepare an integrated knowledge management system in the subject area.

IMPROVING THE EFFICIENCY OF MASTERING DISTRIBUTED INFORMATION SYSTEMS IN A VIRTUAL COMPUTER LAB BASED ON THE USE OF CONTAINERIZATION AND CONTAINER ORCHESTRATION TECHNOLOGIES

Статья посвящена методологии подготовки высококвалифицированных ИТ-специалистов с применением виртуальной компьютерной лаборатории – непрерывно актуализируемого и совершенствуемого (на протяжении более 10 лет) аппаратно-программного комплекса, интегрирующего в себя самые современные технологические достижения в области информационных технологий совместно с методическими и дидактическими наработками, полученными на основе успешного опыта эксплуатации в рамках практических занятий Института системного анализа и управления Государственного университета «Дубна». Виртуальная компьютерная лаборатория не только предоставляет учащимся вычислительные ресурсы по запросу, с применением технологий аппаратной виртуализации и распределённой контейнеризации, но и формирует устойчивую образовательную среду, в основе которой лежат принципы самоорганизации, стимулирующие формирование положительных личных качеств учащихся, их социализацию, умение работать в команде, а также технологии управления знаниями, позволяющие всем участником совместно формировать, совершенствовать и распространять полученные знания, тем самым минимизировать степень вовлеченности преподавателя в решение рутинных задач и вместе с тем повышать уровень когнитивности и качества учебного-методического материала в целом. Виртуальная компьютерная лаборатория является ключевым инструментом для организации практических занятий таким образом, чтобы получаемые знания, умения и владения учащихся максимально полно соответствовали трудовым функция профессиональных стандартов Ассоциации Предприятий Компьютерных и Инновационных Технологий (АПКИТ). This article discusses issues surrounding the training of specialists in distributed information systems using innovative methods and technologies in a virtual computer lab environment with an integrated knowledge management system. The article clearly shows how complex knowledge, skills, and professional competencies should be taught to IT specialists. It provides a detailed exploration of the architecture of the Virtual Computer Lab (VCL) and describes the successful experience of using the VCL in classes taught by the Department of Systems Analysis and Control at the Dubna State University. The new practice with containers is different compared to hardware virtualization case and effectively complements it for a wide range of practical educational tasks dedicated to the mastering distributed information systems in a virtual computer lab. For the underlying operating system kernel can be used for all containers and improves payload on the north of a similar configuration. The article provides a detailed description of containerization technology to improve the efficiency of IT-training and features of container management in a distributed environment.

Early Contractor and Facility Management Team Involvement in the BIM Environment

Knowledge is the resource that contributes the most to an organisation’s competitiveness. Construction projects usually introduce project teams from different disciplines. Hence, knowledge in projects is complex and difficult to manage. To efficiently manage knowledge in projects, various strategies and tools have been applied over the years to support knowledge management (KM). Building information modelling (BIM) is a technology that has recently gained a lot of attention in the construction industry. The main feature of BIM is object-oriented and parametric modelling with the functions of dynamic visualisation, life cycle simulation, early analysis, coordination and collaborative working. Many studies have explored the functions of BIM mainly at the information level. However, only a few studies have considered the management of knowledge in a BIM environment. To fill this knowledge gap, this study explored the potential and expectation of a BIM-based system for early collaboration among contractor, facility management (FM) and design teams in the design stage. This study chose semi-structured interview as the main method to collect qualitative information. A total of 30 experts working in the construction industry were interviewed. On the basis of the analysis results of the collected information, a discussion was presented on how BIM can facilitate KM activities and relieve KM challenges. Therefore, the discussion focused on the requirements and expectations of the integrated KM system in a BIM environment that can facilitate the early involvement of construction contractors and the FM team into the design stage. This study also provides a new research direction for the transformation of research focus from BIM to building knowledge modelling. This paper is the revised version of the paper that has been published in the proceedings of the Creative Construction Conference 2018 (Wang et al., 2018).

Integrated community emergency management and awareness system: A knowledge management system for disaster support

The initial start of this paper deals with reviewing the literature on Emergency Management Information Systems (EMIS) and integrating it into a Knowledge Management System (KMS) structures. This leads to the ability to take information seeking tasks in Emergency Management and translate it to a path in Knowledge Management Structure. This was used to develop an ability to compare current time requirements for information via current data-bases and phones with the performance of an integrated Knowledge Management System in 128 emergency managers of the Government of Malaysia via multi-method strategy including survey, interviews and simulation tests. This led to the recognition of the potential of such a system for the country and the initial parameters of a prototype of the first implemented system design. The resulting integrated Community Emergency Management and Awareness Systems (iCEMAS) is a prototype KMS that was developed and tested. This paper seeks to emphasize that a KMS for emergency management must incorporate features that enable role changes and allow people to access changes based on the situational requirement. The paper provides a highly concise overview and results that supplements our systematic review of KMS in Emergency Management in 2013.

Distance learning through distributed information systems using a virtual computer lab and knowledge management system

This article discusses issues surrounding the training of specialists in distributed information systems through the use of innovative methods and technologies in a virtual computer lab environment with an integrated knowledge management system. The article clearly shows how complex knowledge, skills, and professional competencies should be taught to IT specialists. It provides a detailed exploration of the architecture of the Virtual Computing Lab (VCL) and describes the successful experience of using the VCL in classes taught by the Department of Systems Analysis and Control at the Dubna State University. The article provides a detailed description of key components and integration technologies, and it also covers details of how it can be applied to distance learning.

The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing.

BackgroundThe motivation for the BioHub project is to create an Integrated Knowledge Management System (IKMS) that will enable chemists to source ingredients from bio-renewables, rather than from non-sustainable sources such as fossil oil and its derivatives.MethodThe BioHubKB is the data repository of the IKMS; it employs Semantic Web technologies, especially OWL, to host data about chemical transformations, bio-renewable feedstocks, co-product streams and their chemical components. Access to this knowledge base is provided to other modules within the IKMS through a set of RESTful web services, driven by SPARQL queries to a Sesame back-end. The BioHubKB re-uses several bio-ontologies and bespoke extensions, primarily for chemical feedstocks and products, to form its knowledge organisation schema.ResultsParts of plants form feedstocks, while various processes generate co-product streams that contain certain chemicals. Both chemicals and transformations are associated with certain qualities, which the BioHubKB also attempts to capture. Of immediate commercial and industrial importance is to estimate the cost of particular sets of chemical transformations (leading to candidate surfactants) performed in sequence, and these costs too are captured. Data are sourced from companies’ internal knowledge and document stores, and from the publicly available literature. Both text analytics and manual curation play their part in populating the ontology. We describe the prototype IKMS, the BioHubKB and the services that it supports for the IKMS.AvailabilityThe BioHubKB can be found via http://biohub.cs.manchester.ac.uk/ontology/biohub-kb.owl.

Fuzzy Inference System for an Integrated Knowledge Management System

An integrated and holistic approach to knowledge management system for natural resource management needs to take local indigenous knowledge as one of its components for achieving sustainability. The system of indigenous or local ecological knowledge on natural resource is fuzzy. The integration of such fuzzy knowledge requires a methodology for converting fuzzy data into crisp data for a quantitative analysis. The process of arriving at a conclusion from indigenous knowledge fuzzy data is done using a set of fuzzy inference rules. This work shows that fuzzy inference system is an efficient method to demonstrate defuzzification of the local ecological knowledge using fuzzy inference process. The paper builds a fuzzy inference system from the fuzzy indigenous knowledge system on soil. The inference rules are framed from the fuzzy indigenous knowledge on soil as IF...THEN structures. FIS tool in Matlab is used for building a mamdani fuzzy inference system using the inferences. The relationships between various factors influencing the suitability of soil for crops are produced as the output of the suitability fuzzy inference system.

Integrated knowledge management model and system for construction projects

In the past there has been no structured approach to learning from construction projects once they are completed. Now, however, the construction industry is adapting concepts of tacit and explicit knowledge management to improve the situation. Top managers generally assume that professionals in enterprises already possess tacit knowledge and experience for specific types of projects. Such knowledge is extremely important to organisations because, once a project is completed, professionals tend to forget it and start something new. Therefore, knowledge multifold utilisation is a key factor in productively executing a construction project. This paper discusses the benefits of knowledge management to construction industry organisations and projects and emphasises the significance of tacit knowledge. The main purpose of this paper is to present the integrated knowledge management model for the construction industry as well as system architecture and system of the Knowledge Based Decision Support System for Construction Projects Management (KDSS-CPM) which the authors of this paper have developed. Different knowledge management models that are presented in scientific literature are discussed and compared, and the proposed new, KDSS-CPM model, as developed by this paper’s authors, is introduced.

Technology Implementation Management in Law Enforcement

Increasingly, government agencies are facing the challenge of effective implementation of information technologies critical to their digital government programs and initiatives. This article reports two usercentric evaluation studies of COPLINK, an integrated knowledge management system that supports and enhances lawenforcement officers’crime-fighting activities. Specifically, the evaluations concentrate on system usability and user acceptance in the law enforcement setting. The article describes the study designs, highlights the analysis results, and discusses their implications for digital government research and practices. Findings from these studies provide valuable insights into digital government system evaluation and, at the same time, shed light on how government agencies can design adequate management interventions to foster technology acceptance and use.

Terminology-driven literature mining and knowledge acquisition in biomedicine

In this paper we describe Tagged Information Management System (TIMS), an integrated knowledge management system for the domain of molecular biology and biomedicine, in which terminology-driven literature mining, knowledge acquisition (KA), knowledge integration (KI), and XML-based knowledge retrieval are combined using tag information management and ontology inference. The system integrates automatic terminology acquisition, term variation management, hierarchical term clustering, tag-based information extraction (IE), and ontology-based query expansion. TIMS supports introducing and combining different types of tags (linguistic and domain-specific, manual and automatic). Tag-based interval operations and a query language are introduced in order to facilitate KA and retrieval from XML documents. Through KA examples, we illustrate the way in which literature mining techniques can be utilised for knowledge discovery from documents.

A prototype microcomputer-based decision support system for industrial hygienists.

A prototype Industrial Hygiene Decision Support System (IH-DSS) was designed and implemented in a microcomputer environment using an integrated knowledge management system as the implementation vehicle. The heart of the system is a relational data base designed to minimize redundant data entry and to support flexible retrieval. An industrial hygienist's routine and ad hoc requirements for information retrieval and analysis support are met by screen displays, printed reports, and graphical summaries which may be presented on the screen, in a printed form, or as multicolored plots. A petroleum refinery was selected as the application environment for the prototype system because of the variety of processes, agents, and sampling methodologies involved in industrial hygiene support in that environment.