Embedding Knowledge

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Embedding Knowledge

Author : Henning Hasemann
Publisher : Cuvillier Verlag
ISBN 13 : 3736949413
Total Pages : 200 pages
Book Rating : 4.7/5 (369 download)

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Book Synopsis Embedding Knowledge by : Henning Hasemann

Download or read book Embedding Knowledge written by Henning Hasemann and published by Cuvillier Verlag. This book was released on 2015-03-18 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Die Vision der konsequenten Vernetzung verschiedener eingebetter Geräte miteinander und dem bestehenden Internet, das „Internet der Dinge“, steht zunehmend im wissenschaftlichen und wirtschaftlichen Interesse. Aktuelle Standarisierungsbemühungen erstreben eine Interoperabilität unterschiedlichster Geräteklassen bis hin zur Applikationsschicht. Die Darstellung von kommunizierten Informationen auf dieser Schicht allerdings ist üblicherweise in Formaten und Vokabeln kodiert, die spezifisch für eine bestimmte Wissensdomäne sind. Parallel beobachten wir die Entstehung des Semantischen Webs, einer Reihe von Standards, die Wissen im World Wide Web auf universelle und verteilte Weise darstellen. Diese Arbeit untersucht die Verbindung des Internets der Dinge mit dem Semantischen Web, mit dem Ziel einer universellen Wissensdarstellung, die „Dinge“ miteinander und dem bestehenden Internet verbindet. Insbesondere diskutieren wir, inwieweit es möglich ist, semantisches Wissen im Sinne des Sematischen Webs auf verschiedenen ressourcenbeschränkten Systemen zu speichern, zu verarbeiten und abzufragen.

Embedding Knowledge Graphs with RDF2vec

Author : Heiko Paulheim
Publisher : Springer Nature
ISBN 13 : 3031303873
Total Pages : 165 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Embedding Knowledge Graphs with RDF2vec by : Heiko Paulheim

Download or read book Embedding Knowledge Graphs with RDF2vec written by Heiko Paulheim and published by Springer Nature. This book was released on 2023-06-03 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the ideas behind one of the most well-known methods for knowledge graph embedding of transformations to compute vector representations from a graph, known as RDF2vec. The authors describe its usage in practice, from reusing pre-trained knowledge graph embeddings to training tailored vectors for a knowledge graph at hand. They also demonstrate different extensions of RDF2vec and how they affect not only the downstream performance, but also the expressivity of the resulting vector representation, and analyze the resulting vector spaces and the semantic properties they encode.

Graph Representation Learning

Author : William L. William L. Hamilton
Publisher : Springer Nature
ISBN 13 : 3031015886
Total Pages : 141 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Graph Representation Learning by : William L. William L. Hamilton

Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.

Knowledge Graphs and Big Data Processing

Author : Valentina Janev
Publisher : Springer Nature
ISBN 13 : 3030531996
Total Pages : 212 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Knowledge Graphs and Big Data Processing by : Valentina Janev

Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer Nature. This book was released on 2020-07-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Blackwell Handbook of Social Psychology

Author : Michael A. Hogg
Publisher : John Wiley & Sons
ISBN 13 : 047099844X
Total Pages : 712 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Blackwell Handbook of Social Psychology by : Michael A. Hogg

Download or read book Blackwell Handbook of Social Psychology written by Michael A. Hogg and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides an authoritative, up-to-date overview of the social psychology of group processes. The topics covered include group decisions, juries, group remembering, roles, status, leadership, social identity and group membership, socialization, group performance, negotiation and bargaining, emotion and mood, computer-mediated communication, organizations and mental health. Provides an authoritative, up-to-date overview of the social psychology of group processes. Written by leading researchers from around the world to provide a classic and current overview of research as well as providing a description of future trends within the area. Includes coverage of group decisions, juries, group remembering, roles, status, leadership, social identity and group membership, socialization, group performance, negotiation and bargaining, emotion and mood, computer-mediated communication, organizations and mental health. Essential reading for any serious scholar of group behavior. Now available in full text online via xreferplus, the award-winning reference library on the web from xrefer. For more information, visit www.xreferplus.com

Knowledge Science, Engineering and Management

Author : Han Qiu
Publisher : Springer Nature
ISBN 13 : 3030821366
Total Pages : 734 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Knowledge Science, Engineering and Management by : Han Qiu

Download or read book Knowledge Science, Engineering and Management written by Han Qiu and published by Springer Nature. This book was released on 2021-08-07 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021. The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.

Machine Learning and Knowledge Discovery in Databases. Research Track

Author : Nuria Oliver
Publisher : Springer Nature
ISBN 13 : 3030865207
Total Pages : 817 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases. Research Track by : Nuria Oliver

Download or read book Machine Learning and Knowledge Discovery in Databases. Research Track written by Nuria Oliver and published by Springer Nature. This book was released on 2021-09-09 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Capitalizing on Knowledge

Author : David Skyrme
Publisher : Routledge
ISBN 13 : 1136422935
Total Pages : 352 pages
Book Rating : 4.1/5 (364 download)

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Book Synopsis Capitalizing on Knowledge by : David Skyrme

Download or read book Capitalizing on Knowledge written by David Skyrme and published by Routledge. This book was released on 2012-06-14 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many organizations are embracing knowledge management as a source of strategic advantage. But already people are asking: "what comes next?" Likewise almost every large organization is heavily involved in e-commerce and turning their organizations into e-businesses. At the moment most e-commerce is focused on selling traditional products and services through the new medium of the Internet. However, the more an organization evolves into an e-business, the more they can exploit knowledge flows between themselves and their marketplace. This book draws together the two strands of knowledge and e-business into the emerging field that this book has called k-business. A k-business is one that turns an organization's knowledge assets into knowledge products and services and uses the Internet to market and deliver them online. Despite its newness, the Delphi Group have forecast that within 5 years person-to-person information e-commerce (a major aspect of k-business) will be a $5 billion business leveraging $50 billion in sales of other products and services. Capitalizing on Knowledge aims to give professionals and managers early insights into how to develop successful k-businesses. It takes a critical and balanced view of the building blocks of a k-business including knowledge productizing, e-commerce enablers and Internet marketing. It draws on lessons from successes and failures in the dot.com landscape and of the early pioneers of knowledge markets. The writing style engenders interest and readability supported by diagrams, screen images, check lists and frameworks. There are 'points to ponder' to stimulate thinking and decision-making. Five case studies and over 50 illustrative examples provide insights into the application of the book's concepts. No other book brings all the elements of a k-business together in one place to provide a thought provoking yet practical companion for those who want to capitalize on their knowledge.

Inside the Virtual Product

Author : Luciana D'Adderio
Publisher : Edward Elgar Publishing
ISBN 13 : 9781782543107
Total Pages : 264 pages
Book Rating : 4.5/5 (431 download)

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Book Synopsis Inside the Virtual Product by : Luciana D'Adderio

Download or read book Inside the Virtual Product written by Luciana D'Adderio and published by Edward Elgar Publishing. This book was released on 2004-01-28 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is the influence of software systems on an organization's ability to create knowledge, learn adapt to change and innovate? While organization, management and innovation theory has primarily focused on the impact of software on measures such as process efficiency and speed, this book argues that integrated sytms and digital technologies offer even more fundamental implications for the innovating firm.

The Essentials of Knowledge Management

Author : John S. Edwards
Publisher : Springer
ISBN 13 : 1137552107
Total Pages : 372 pages
Book Rating : 4.1/5 (375 download)

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Book Synopsis The Essentials of Knowledge Management by : John S. Edwards

Download or read book The Essentials of Knowledge Management written by John S. Edwards and published by Springer. This book was released on 2016-04-29 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the field of Knowledge Management, taking a holistic approach that includes both "soft" and "hard" aspects. It provides a broad perspective on the field, rather than one based on a single viewpoints from Computer Science or Organizational Learning, offering a comprehensive and integrated conception of Knowledge Management. The chapters represent the best Knowledge Management articles published in the 21st century in Knowledge Management Research & Practice and the European Journal of Information Systems, with contributors including Ikujiro Nonaka, Frada Burstein, and David Schwartz. Most of the chapters contribute significantly to practise as well as theory. The OR Essentials series presents a unique cross-section of high quality research work fundamental to understanding contemporary issues and research across a range of Operational Research topics. It brings together some of the best research papers from the highly respected journals of the Operational Research Society, also published by Palgrave Macmillan.

Family Businesses in the Arab World

Author : Sami Basly
Publisher : Springer
ISBN 13 : 3319576305
Total Pages : 256 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Family Businesses in the Arab World by : Sami Basly

Download or read book Family Businesses in the Arab World written by Sami Basly and published by Springer. This book was released on 2017-05-18 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on topics such as the cultural specificity of Arab family businesses with regard to shaping their governance and management; the influence that specific values in the Arab world could exert on the management of family businesses; how spiritual and religious values influence business in Arab family firms; and the role of emotions in the management of family firms in the Arab World. Presenting a collection of contributions addressing management, finance, strategy and succession in Arab Family businesses, this book constitutes a novel and unique contribution to the research field of family businesses.

Organisational Learning

Author : Roderick Smith
Publisher : Routledge
ISBN 13 : 131750643X
Total Pages : 414 pages
Book Rating : 4.3/5 (175 download)

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Book Synopsis Organisational Learning by : Roderick Smith

Download or read book Organisational Learning written by Roderick Smith and published by Routledge. This book was released on 2016-04-28 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizational Learning: An Integrated HR and Knowledge Management Perspective draws on a broad and multi-disciplinary base to look at the origins and practice of organizational learning. It critically considers the nature of organizational knowledge as a social construct; pedagogical issues around learning as individuals, groups, teams and whole organisations; and technological issues around the development of knowledge-based information systems. Supporting case studies are provided throughout the book, and readers will also benefit from a companion website which expands on the key themes of the text. Organizational Learning will enable readers to develop and implement strategies for ensuring long-term access to the embedded knowledge and experience of an organization. This textbook will be invaluable reading for undergraduate and postgraduate students on organizational learning, HRM and knowledge management courses.

Enablers of Organisational Learning, Knowledge Management, and Innovation

Author : Preethi Kesavan
Publisher : Springer Nature
ISBN 13 : 9811597936
Total Pages : 308 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Enablers of Organisational Learning, Knowledge Management, and Innovation by : Preethi Kesavan

Download or read book Enablers of Organisational Learning, Knowledge Management, and Innovation written by Preethi Kesavan and published by Springer Nature. This book was released on 2020-11-20 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book establishes constructivist, interpretivist, and linguistic approaches based on conventions about the nature of qualitative and text data, the author’s influence on text interpretation, and the validity checks used to justify text interpretations. Vast quantities of text and qualitative data in organizations often go unexplored. Text analytics outlined in this book allow readers to understand the process of converting unstructured text data into meaningful data for analysis in order to measure employee opinions, feedback, and reviews through sentiment analysis to support fact-based decision making. The methods involve using NVivo and RapidMiner software to perform lexical analysis, categorization, clustering, pattern recognition, tagging, annotation, memo creation, information extraction, association analysis, and visualization. The methodological approach in the book uses innovation theory as a sensitizing concept to lay the foundation for the analysis of research data, suggesting approaches for empirical exploration of organizational learning, knowledge management, and innovation practices amongst geographically dispersed individuals and team members. Based on data obtained from a private educational organization that has offices dispersed across Asia through focus group discussions and interviews on these topics, the author highlights the need for integrating organizational learning, knowledge management, and innovation to improve organizational performance, exploring perspectives on collective relationships and networks, organizational characteristics and structures, and tacit and overt values which influence such innovation initiatives. In the process, the author puts forward a new theory which is built on three themes: relationship and networks, knowledge sharing mechanisms, and the role of social cognitive schema that facilitate emergent learning, knowledge management, and innovation.

ICICKM2014-Proceedings of the 11th International Conference on Intellectual Capital, Knowledge Management and Organisational Learning

Download ICICKM2014-Proceedings of the 11th International Conference on Intellectual Capital, Knowledge Management and Organisational Learning PDF Online Free

Author : Jim Rooney
Publisher : Academic Conferences Limited
ISBN 13 : 1910309710
Total Pages : 594 pages
Book Rating : 4.9/5 (13 download)

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Book Synopsis ICICKM2014-Proceedings of the 11th International Conference on Intellectual Capital, Knowledge Management and Organisational Learning by : Jim Rooney

Download or read book ICICKM2014-Proceedings of the 11th International Conference on Intellectual Capital, Knowledge Management and Organisational Learning written by Jim Rooney and published by Academic Conferences Limited. This book was released on 2014-10-17 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings represent the work of researchers participating in the 11th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning - ICICKM 2014, which this year is being held at The University of Sydney Business School, The University of Sydney, Australia. The Conference Co-Chairs are Dr John Dumay from Macquarie University, Sydney, Australia and Dr Gary Oliver from the University of Sydney, Australia. The conference will be opened with a keynote by Goran Roos, Advanced Manufacturing Council, Adelaide, Australia who will address the topic of "Intellectual capital in Australia: Economic development in a high cost economy." The second day will be opened with a from James Guthrie, University of Sydney, Australia on the topic of "Intellectual Capital and the Public Sector Research: Past, Present, and Future."

The Wiley Blackwell Handbook of the Psychology of Training, Development, and Performance Improvement

Author : Kurt Kraiger
Publisher : John Wiley & Sons
ISBN 13 : 1118737016
Total Pages : 550 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis The Wiley Blackwell Handbook of the Psychology of Training, Development, and Performance Improvement by : Kurt Kraiger

Download or read book The Wiley Blackwell Handbook of the Psychology of Training, Development, and Performance Improvement written by Kurt Kraiger and published by John Wiley & Sons. This book was released on 2014-11-17 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest Wiley Blackwell Handbook of Organizational Psychology uses a psychological perspective, and a uniquely global focus, to review the latest literature and research in the interconnected fields of training, development, and performance appraisal. Maintains a truly global focus on the field with top international contributors exploring research and practice from around the world Offers researchers and professionals essential information for building a talented organization, a critical and challenging task for organizational success in the 21st century Covers a diverse range of topics, including needs analysis, job design, active learning, self-regulation, simulation approaches, 360-degree feedback, and virtual learning environments

Artificial Neural Networks and Machine Learning – ICANN 2023

Author : Lazaros Iliadis
Publisher : Springer Nature
ISBN 13 : 3031442237
Total Pages : 621 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2023 by : Lazaros Iliadis

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2023 written by Lazaros Iliadis and published by Springer Nature. This book was released on 2023-09-21 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023. The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.

Knowledge Graphs

Author : Aidan Hogan
Publisher : Springer Nature
ISBN 13 : 3031019180
Total Pages : 247 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Knowledge Graphs by : Aidan Hogan

Download or read book Knowledge Graphs written by Aidan Hogan and published by Springer Nature. This book was released on 2022-06-01 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.