Embedding Knowledge
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Embedding Knowledge Graphs With Rdf2vec
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Author : Heiko Paulheim
language : en
Publisher: Springer Nature
Release Date : 2023-06-03
Embedding Knowledge Graphs With Rdf2vec written by Heiko Paulheim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-03 with Computers categories.
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.
Embedding Knowledge
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Author : Henning Hasemann
language : en
Publisher: Cuvillier Verlag
Release Date : 2015-03-18
Embedding Knowledge written by Henning Hasemann and has been published by Cuvillier Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-18 with Computers categories.
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.
Blackwell Handbook Of Social Psychology
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Author : Michael A. Hogg
language : en
Publisher: John Wiley & Sons
Release Date : 2008-04-15
Blackwell Handbook Of Social Psychology written by Michael A. Hogg and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-15 with Psychology categories.
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
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Author : Han Qiu
language : en
Publisher: Springer Nature
Release Date : 2021-08-07
Knowledge Science Engineering And Management written by Han Qiu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-07 with Computers categories.
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
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Author : Nuria Oliver
language : en
Publisher: Springer Nature
Release Date : 2021-09-09
Machine Learning And Knowledge Discovery In Databases Research Track written by Nuria Oliver and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-09 with Computers categories.
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.
The Knowledge Manager S Handbook
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Author : Nick Milton
language : en
Publisher: Kogan Page Publishers
Release Date : 2016-04-03
The Knowledge Manager S Handbook written by Nick Milton and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-03 with Business & Economics categories.
The way an organization manages and disseminates its knowledge is key to informed business decision-making, effectiveness and competitive edge. Because knowledge management is not a one-size-fits-all method, you need a framework tailored to your organization and its priorities. The Knowledge Manager's Handbook takes you step by step through the processes needed to define and embed an effective knowledge management framework within your organization. Knowledge management experts Nick Milton and Patrick Lambe draw on their practical experience as consultants and project leaders to guide you through each stage of creating and implementing a knowledge management framework to answer your organization's specific needs. The framework takes into account the four essential aspects of knowledge management - people, processes, technologies and governance - and shows how each of these can be optimized to unlock the value of your organization's knowledge. With international case studies from organizations of all sizes and sectors, and user-friendly templates and checklists to help you implement effective knowledge management procedures, The Knowledge Manager's Handbook is the end to end guide to making a sustainable change in your organization's knowledge management culture.
Domain Specific Knowledge Graph Construction
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Author : Mayank Kejriwal
language : en
Publisher: Springer
Release Date : 2019-03-04
Domain Specific Knowledge Graph Construction written by Mayank Kejriwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-04 with Computers categories.
The vast amounts of ontologically unstructured information on the Web, including HTML, XML and JSON documents, natural language documents, tweets, blogs, markups, and even structured documents like CSV tables, all contain useful knowledge that can present a tremendous advantage to the Artificial Intelligence community if extracted robustly, efficiently and semi-automatically as knowledge graphs. Domain-specific Knowledge Graph Construction (KGC) is an active research area that has recently witnessed impressive advances due to machine learning techniques like deep neural networks and word embeddings. This book will synthesize Knowledge Graph Construction over Web Data in an engaging and accessible manner. The book will describe a timely topic for both early -and mid-career researchers. Every year, more papers continue to be published on knowledge graph construction, especially for difficult Web domains. This work would serve as a useful reference, as well as an accessible but rigorous overview of this body of work. The book will present interdisciplinary connections when possible to engage researchers looking for new ideas or synergies. This will allow the book to be marketed in multiple venues and conferences. The book will also appeal to practitioners in industry and data scientists since it will have chapters on both data collection, as well as a chapter on querying and off-the-shelf implementations. The author has, and continues to, present on this topic at large and important conferences. He plans to make the powerpoint he presents available as a supplement to the work. This will draw a natural audience for the book. Some of the reviewers are unsure about his position in the community but that seems to be more a function of his age rather than his relative expertise. I agree with some of the reviewers that the title is a little complicated. I would recommend “Domain Specific Knowledge Graphs”.
Transfer Learning Through Embedding Spaces
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Author : Mohammad Rostami
language : en
Publisher: CRC Press
Release Date : 2021-06-29
Transfer Learning Through Embedding Spaces written by Mohammad Rostami and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-29 with Computers categories.
Recent progress in artificial intelligence (AI) has revolutionized our everyday life. Many AI algorithms have reached human-level performance and AI agents are replacing humans in most professions. It is predicted that this trend will continue and 30% of work activities in 60% of current occupations will be automated. This success, however, is conditioned on availability of huge annotated datasets to training AI models. Data annotation is a time-consuming and expensive task which still is being performed by human workers. Learning efficiently from less data is a next step for making AI more similar to natural intelligence. Transfer learning has been suggested a remedy to relax the need for data annotation. The core idea in transfer learning is to transfer knowledge across similar tasks and use similarities and previously learned knowledge to learn more efficiently. In this book, we provide a brief background on transfer learning and then focus on the idea of transferring knowledge through intermediate embedding spaces. The idea is to couple and relate different learning through embedding spaces that encode task-level relations and similarities. We cover various machine learning scenarios and demonstrate that this idea can be used to overcome challenges of zero-shot learning, few-shot learning, domain adaptation, continual learning, lifelong learning, and collaborative learning.
Knowledge Graphs And Big Data Processing
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Author : Valentina Janev
language : en
Publisher: Springer Nature
Release Date : 2020-07-15
Knowledge Graphs And Big Data Processing written by Valentina Janev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with Computers categories.
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.
A Practical Guide To Hybrid Natural Language Processing
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Author : Jose Manuel Gomez-Perez
language : en
Publisher: Springer
Release Date : 2021-06-17
A Practical Guide To Hybrid Natural Language Processing written by Jose Manuel Gomez-Perez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-17 with Computers categories.
This book provides readers with a practical guide to the principles of hybrid approaches to natural language processing (NLP) involving a combination of neural methods and knowledge graphs. To this end, it first introduces the main building blocks and then describes how they can be integrated to support the effective implementation of real-world NLP applications. To illustrate the ideas described, the book also includes a comprehensive set of experiments and exercises involving different algorithms over a selection of domains and corpora in various NLP tasks. Throughout, the authors show how to leverage complementary representations stemming from the analysis of unstructured text corpora as well as the entities and relations described explicitly in a knowledge graph, how to integrate such representations, and how to use the resulting features to effectively solve NLP tasks in a range of domains. In addition, the book offers access to executable code with examples, exercises and real-world applications in key domains, like disinformation analysis and machine reading comprehension of scientific literature. All the examples and exercises proposed in the book are available as executable Jupyter notebooks in a GitHub repository. They are all ready to be run on Google Colaboratory or, if preferred, in a local environment. A valuable resource for anyone interested in the interplay between neural and knowledge-based approaches to NLP, this book is a useful guide for readers with a background in structured knowledge representations as well as those whose main approach to AI is fundamentally based on logic. Further, it will appeal to those whose main background is in the areas of machine and deep learning who are looking for ways to leverage structured knowledge bases to optimize results along the NLP downstream.
