 Название: The Knowledge Graph Cookbook
Автор: Andreas Blumauer, Helmut Nagy
Издательство: edition mono/monochrom
Год: 2020
Страниц: 256
Язык: английский
Формат: pdf
Размер: 12.8 MB
The Knowledge Graph Cookbook explains why your organisation should invest in the development of knowledge graphs, and most importantly, what recipes exist for developing and integrating them in an efficient, successful and sustainable way.
Knowledge graphs are certainly nothing new, but they have only been in use in industrial environments for a few years now. Accordingly, one speaks of 'Enterprise Knowledge Graphs' (EKGs). This refers to a wealth of approaches and technologies, all of which are aimed at getting a better grip on the chaos in enterprise data management. A central problem here is the siloing of data and the resulting additional costs and inefficiencies that arise along the entire data life cycle.
There are countless articles, slide decks and videos on the Internet about knowledge graphs. The topic is examined from different perspectives, e.g., from the point of view of artificial intelligence or in the context of extended possibilities for data analytics or information retrieval. Various standards, methods and technologies are suggested to the reader, and the moment of overstrain and disorientation typical for the arrival of new technologies quickly arises—so one wonders: “isn't there a step-by-step recipe out there explaining how to create a knowledge graph like there is for preparing a classic dish like Wiener schnitzel?”
This book is intended to help bring together and network different aspects of knowledge graphs. It will serve as a 'cookbook' for upcoming projects that want to integrate knowledge graphs as a central element. Above all, it should provide the reader a quick overview of why every data and content professional should or must deal with the topic in greater detail. The books hould also help to better assess the role of AI, especially that of explainable and semantic AI.
- Learn more about the variety of applications based on knowledge graphs
- See how knowledge graphs can benefit different categories of stakeholders and users in an organization
- Learn how to build working knowledge graphs and which technologies to use
- Develop your vision of a next generation of enterprise data management where active semantic metadata plays a central role
The Knowledge Graph Cookbook will be a valuable resource for practitioners and decision-makers to take advantage of the many benefits of this methodology, especially the positive impact it has on the implementation of Artificial Intelligence (AI) strategies. Learn more about this innovative approach called semantic AI. The Knowledge Graph Cookbook is based on more than 20 years of experience that both authors, Andreas Blumauer and Helmut Nagy, have gathered in the field of semantic technologies, text mining, data management, knowledge management and AI for business use cases.
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