Inside Knowledge
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Inside Knowledge
Author: Alison Temperley
language: en
Publisher: Emerald Group Publishing
Release Date: 2017-10-10
Inside Knowledge provides practical guidance for women working in professional service firms who aspire to achieve their full potential in what have traditionally been male work environments. It aims to help women thrive within these organisations, and to rise to a level commensurate with their knowledge, skills, experience and talent.
Trade in Knowledge
Author: Antony Taubman
language: en
Publisher: Cambridge University Press
Release Date: 2022-03-17
Technological change has transformed the ways knowledge is developed and shared internationally. Accordingly, in the quarter-century since the WTO was established, and since its Agreement on Trade-Related Aspects of Intellectual Property Rights came into force, both the knowledge dimension of trade and the functioning of the IP system have been radically transformed. The need to understand and respond to this change has placed knowledge at the centre of policy debates about economic and social development. Recognizing the need for modern analytical tools to support policymakers and analysts, this publication draws together contributions from a diverse range of scholars and analysts. Together, they offer a fresh understanding of what it means to trade in knowledge in today's technological and commercial environment. The publication offers insights into the prospects for knowledge-based development and ideas for updated systems of governance that promote the creation and sharing of the benefits of knowledge.
Semantic AI in Knowledge Graphs
Recent combinations of semantic technology and artificial intelligence (AI) present new techniques to build intelligent systems that identify more precise results. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of machine learning to extend the knowledge graphs by graph mapping or corpus-based ontology learning. Securing efficient results via the combination of symbolic AI and statistical AI such as entity extraction based on machine learning, text mining methods, semantic knowledge graphs, and related reasoning power, this book is the first of its kind to explore semantic AI and knowledge graphs. A range of topics are covered, from neuro-symbolic AI, explainable AI and deep learning to knowledge discovery and mining, and knowledge representation and reasoning. A trailblazing exploration of semantic AI in knowledge graphs, this book is a significant contribution to both researchers in the field of AI and data mining as well as beginner academicians.