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Knowledge Management in the Development of Data-Intensive Systems

Knowledge Management in the Development of Data-Intensive Systems
Author: Ivan Mistrik
Publisher: CRC Press
Total Pages: 342
Release: 2021-06-15
Genre: Computers
ISBN: 1000387410

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Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.


Development of Knowledge-Based Systems for Engineering

Development of Knowledge-Based Systems for Engineering
Author: Carlo Tasso
Publisher: Springer
Total Pages: 241
Release: 2014-05-04
Genre: Technology & Engineering
ISBN: 370912784X

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The goal of the volume is twofold: to help engineers to understand the design and development process and the specific techniques utilized for constructing expert systems in engineering and, secondly, to introduce computer specialists to significant applications of knowledge-based techniques in engineering. Among the authors are world famous experts of engineering and knowledge-based systems development.


Guide to the Software Engineering Body of Knowledge (Swebok(r))

Guide to the Software Engineering Body of Knowledge (Swebok(r))
Author: IEEE Computer Society
Publisher:
Total Pages: 348
Release: 2014
Genre: Computer software
ISBN: 9780769551661

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In the Guide to the Software Engineering Body of Knowledge (SWEBOK(R) Guide), the IEEE Computer Society establishes a baseline for the body of knowledge for the field of software engineering, and the work supports the Society's responsibility to promote the advancement of both theory and practice in this field. It should be noted that the Guide does not purport to define the body of knowledge but rather to serve as a compendium and guide to the knowledge that has been developing and evolving over the past four decades. Now in Version 3.0, the Guide's 15 knowledge areas summarize generally accepted topics and list references for detailed information. The editors for Version 3.0 of the SWEBOK(R) Guide are Pierre Bourque (Ecole de technologie superieure (ETS), Universite du Quebec) and Richard E. (Dick) Fairley (Software and Systems Engineering Associates (S2EA)).


Indigenous Knowledge Systems and Development in Africa

Indigenous Knowledge Systems and Development in Africa
Author: Samuel Ojo Oloruntoba
Publisher: Springer Nature
Total Pages: 339
Release: 2020-04-08
Genre: Political Science
ISBN: 3030343049

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This edited volume analyzes African knowledge production and alternative development paths of the region. The contributors demonstrate ways in which African-centered knowledge refutes stereotypes depicted by Euro-centric scholars and, overall, examine indigenous African contributions in global knowledge production and development. The project provides historical and contemporary evidences that challenge the dominance of Euro-centric knowledge, particularly, about Africa, across various disciplines. Each chapter engages with existing scholarship and extends it by emphasizing on Indigenous knowledge systems in addition to future indicators of African knowledge production.


Knowledge System Development

Knowledge System Development
Author: Jana C. Hertz
Publisher: RTI Press
Total Pages: 237
Release: 2022-09-29
Genre: Social Science
ISBN: 1934831298

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Knowledge System Development: Insights from Indonesia and International Applications illustrates how knowledge systems work in the evidence-based policy making process and the dynamics of different actors in the ecosystem. Applying the Knowledge System Model 2.0 in Indonesia and in selected international case studies, it explores key issues and dynamics in the knowledge-to-policy process in Indonesia and offers important insights for application in other country contexts. Written from the unique vantage point of knowledge system actors themselves in cooperation with development practitioners and researchers, the book captures efforts to clarify the roles of different actors in the knowledge system and how they interacted to influence policy. When the actors and institutions in the knowledge system interact and challenge each other to articulate and commit to a shared purpose, it is easier to navigate the inherent tensions between technical solutions and political objectives to advance the reform agenda. Intermediaries in the knowledge system can play an important role in facilitating the interactions between these actors and institutions.


Ubiquitous Technologies for Human Development and Knowledge Management

Ubiquitous Technologies for Human Development and Knowledge Management
Author: Rahman, Hakikur
Publisher: IGI Global
Total Pages: 396
Release: 2021-04-23
Genre: Business & Economics
ISBN: 1799878465

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In recent decades, digital technologies have permeated daily routines, whether at school, at work, or during personal engagements. Stakeholders in education are promoting innovative pedagogical practices, the business sector is utilizing updated processes. Even the public is improving their lifestyles by utilizing innovative technology. In a knowledge construction setting, technology becomes a tool to assist the user to access information, communicate information, and collaborate with others towards human development and knowledge management. In this context, ubiquitous computing has emerged to support humans in their daily life activities in a personal, unattended, and remote manner. Ubiquitous Technologies for Human Development and Knowledge Management serves as an authoritative reference source for the latest scholarly research on the widespread incorporation of technological innovations around the globe. It examines how the application of ubiquitous computing technologies affects various aspects of human lives, specifically in human development and knowledge management. The chapters demonstrate how these ubiquitous technologies, networks, and associated systems have proliferated and have woven themselves into the very framework of everyday life. It covers categorized investigations ranging from e-governance, knowledge management, ICTs, public services, innovation, and ethics. This book is essential for ICT specialists, technologists, teachers, instructional designers, practitioners, researchers, academicians, and students interested in the latest technologies and how they are impacting human development and knowledge management across different disciplines.


Digital Technology Advancements in Knowledge Management

Digital Technology Advancements in Knowledge Management
Author: Gyamfi, Albert
Publisher: IGI Global
Total Pages: 275
Release: 2021-06-18
Genre: Business & Economics
ISBN: 1799867943

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Knowledge management has always been about the process of creating, sharing, using, and applying knowledge within and between organizations. Before the advent of information systems, knowledge management processes were manual or offline. However, the emergence and eventual evolution of information systems created the possibility for the gradual but slow automation of knowledge management processes. These digital technologies enable data capture, data storage, data mining, data analytics, and data visualization. The value provided by such technologies is enhanced and distributed to organizations as well as customers using the digital technologies that enable interconnectivity. Today, the fine line between the technologies enabling the technology-driven external pressures and data-driven internal organizational pressures is blurred. Therefore, how technologies are combined to facilitate knowledge management processes is becoming less standardized. This results in the question of how the current advancement in digital technologies affects knowledge management processes both within and outside organizations. Digital Technology Advancements in Knowledge Management addresses how various new and emerging digital technologies can support knowledge management processes within organizations or outside organizations. Case studies and practical tips based on research on the emerging possibilities for knowledge management using these technologies is discussed within the chapters of this book. It both builds on the available literature in the field of knowledge management while providing for further research opportunities in this dynamic field. This book highlights topics such as human-robot interaction, big data analytics, software development, keyword extraction, and artificial intelligence and is ideal for technology developers, academics, researchers, managers, practitioners, stakeholders, and students who are interested in the adoption and implementation of new digital technologies for knowledge creation, sharing, aggregation, and storage.


Knowledge Engineering and Management

Knowledge Engineering and Management
Author: Guus Schreiber
Publisher: MIT Press
Total Pages: 476
Release: 2000
Genre: Business & Economics
ISBN: 9780262193009

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The disciplines of knowledge engineering and knowledge management are closely tied. Knowledge engineering deals with the development of information systems in which knowledge and reasoning play pivotal roles. Knowledge management, a newly developed field at the intersection of computer science and management, deals with knowledge as a key resource in modern organizations. Managing knowledge within an organization is inconceivable without the use of advanced information systems; the design and implementation of such systems pose great organization as well as technical challenges.


Agile Development of Diagnostic Knowledge Systems

Agile Development of Diagnostic Knowledge Systems
Author: Joachim Baumeister
Publisher: IOS Press
Total Pages: 276
Release: 2004
Genre: Computer software
ISBN: 9783898382847

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The success of diagnostic knowledge systems has been proved over the last decades. Nowadays, intelligent systems are embedded in machines within various domains or are used in interaction with a user for solving problems. However, the development of a knowledge system is still a critical issue. Similarly to projects dealing with customized software at a highly innovative level a precise specification often cannot be given in advance. Moreover, necessary requirements of the knowledge system can be defined not until the project has been started or are changing during the development phase. This thesis motivates that classical, document-centered approaches cannot be applied in such a setting. We introduce an agile process model for developing diagnostic knowledge systems, mainly inspired by the ideas of the eXtreme Programming methodology known in software engineering. The engineering process is supported at a primary level by the introduction of knowledge containers, that define an organized view of knowledge contained in the system. The actual knowledge is acquired and formalized right from start, and the integration to runnable knowledge systems is done continuously in order to allow for an early and concrete feedback. The validity and maintainability of the collected knowledge is ensured by appropriate test methods and restructuring techniques, respectively. Additionally, we propose learning methods to support the knowledge acquisition process sufficiently. The process model and its activities are evaluated in two real life applications: in a medical and in an environmental project the benefits of the agile development are clearly demonstrated.


Software Architecture Knowledge Management

Software Architecture Knowledge Management
Author: Muhammad Ali Babar
Publisher: Springer Science & Business Media
Total Pages: 287
Release: 2010-05-03
Genre: Computers
ISBN: 3642023754

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A software architecture manifests the major early design decisions, which determine the system’s development, deployment and evolution. Thus, making better architectural decisions is one of the large challenges in software engineering. Software architecture knowledge management is about capturing practical experience and translating it into generalized architectural knowledge, and using this knowledge in the communication with stakeholders during all phases of the software lifecycle. This book presents a concise description of knowledge management in the software architecture discipline. It explains the importance of sound knowledge management practices for improving software architecture processes and products, and makes clear the role of knowledge management in software architecture and software development processes. It presents many approaches that are in use in software companies today, approaches that have been used in other domains, and approaches under development in academia. After an initial introduction by the editors, the contributions are grouped in three parts on "Architecture Knowledge Management", "Strategies and Approaches for Managing Architectural Knowledge", and "Tools and Techniques for Managing Architectural Knowledge". The presentation aims at information technology and software engineering professionals, in particular software architects and software architecture researchers. For the industrial audience, the book gives a broad and concise understanding of the importance of knowledge management for improving software architecture process and building capabilities in designing and evaluating better architectures for their mission- and business-critical systems. For researchers, the book will help to understand the applications of various knowledge management approaches in an industrial setting and to identify research challenges and opportunities.