Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas

Semantic data modeling is essential for increasing the usability and value of data and applications. This field guide provides an eye-opening journey through semantic data modeling, exploring fundamental concepts, phenomena, and processes. It examines the quirks and challenges of semantic data modeling and offers practical tips for leveraging frameworks and tools. It also highlights the importance of avoiding mistakes and bad practices and addresses model development dilemmas. By organizing and executing semantic data initiatives, organizations can tackle technical, strategic, and organizational challenges.

Format: Paperback / softback
Length: 306 pages
Publication date: 04 September 2020
Publisher: O'Reilly Media, Inc, USA

Semantic data modeling is a crucial aspect of information architecture and data science, as it plays a pivotal role in extracting business value from data. In this practical and comprehensive field guide, author Panos Alexopoulos takes readers on an eye-opening journey through semantic data modeling, as applied in the real world. By mastering the craft of semantic data modeling, individuals can enhance the usability and value of their data and applications.

The guide begins by introducing the fundamental concepts, phenomena, and processes related to semantic data modeling. It examines the quirks and challenges of semantic data modeling and provides insights on how to effectively leverage the available frameworks and tools. Readers will learn about common mistakes and bad practices that can undermine their efforts to create good data models, as well as about model development dilemmas such as representation, expressiveness, content, development, and governance.

To facilitate the understanding and implementation of semantic data modeling, the guide offers practical tips and strategies. It provides guidance on organizing and executing semantic data initiatives within organizations, tackling technical, strategic, and organizational challenges. The book also includes case studies and examples to illustrate the practical applications of semantic data modeling in various industries.

By reading this field guide, information architects and data science professionals will gain a deeper understanding of semantic data modeling and its potential to drive business growth and innovation. They will be equipped with the skills and knowledge necessary to create high-quality and valuable semantic representations of data, enabling them to make informed decisions and achieve their organizational goals.

In conclusion, semantic data modeling is a critical skill for information architects and data science professionals looking to extract maximum value from their data. This practical and comprehensive field guide provides a comprehensive roadmap for mastering the craft of semantic data modeling, enabling individuals to enhance the usability and value of their data and applications. Whether you are a seasoned professional or just starting in this field, this guide will be an invaluable resource for your journey toward data excellence.

Weight: 588g
Dimension: 191 x 234 x 21 (mm)
ISBN-13: 9781492054276