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Semantic Modeling for Data - by  Panos Alexopoulos (Paperback) - 1 of 1

Semantic Modeling for Data - by Panos Alexopoulos (Paperback)

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About this item

Highlights

  • What value does semantic data modeling offer?
  • About the Author: Panos Alexopoulos has been working since 2006 at the intersection of data, semantics and software, contributing in building intelligent systems that deliver value to business and society.
  • 328 Pages
  • Computers + Internet, Natural Language Processing

Description



About the Book



What value does semantic data modeling offer? As an information architect or data science professional, let's say you have an abundance of the right data and the technology to extract business gold-- but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You'll learn how to master this craft to increase the usability and value of your data and applications. You'll also explore pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data.



Book Synopsis



What value does semantic data modeling offer? As an information architect or data science professional, letâ€Â(TM)s say you have an abundance of the right data and the technology to extract business goldâ€Â"but you still fail. The reason? Bad data semantics.

In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. Youâ€Â(TM)ll learn how to master this craft to increase the usability and value of your data and applications. Youâ€Â(TM)ll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data.

  • Understand the fundamental concepts, phenomena, and processes related to semantic data modeling
  • Examine the quirks and challenges of semantic data modeling and learn how to effectively leverage the available frameworks and tools
  • Avoid mistakes and bad practices that can undermine your efforts to create good data models
  • Learn about model development dilemmas, including representation, expressiveness and content, development, and governance
  • Organize and execute semantic data initiatives in your organization, tackling technical, strategic, and organizational challenges



About the Author



Panos Alexopoulos has been working since 2006 at the intersection of data, semantics and software, contributing in building intelligent systems that deliver value to business and society. Born and raised in Athens, Greece, he currently works as Head of Ontology at Textkernel BV, in Amsterdam, Netherlands, leading a team of data professionals in developing and delivering a large cross-lingual Knowledge Graph in the HR and Recruitment domain.

Panos has published several papers at international conferences, journals and books, and he is a regular speaker and trainer in both academic and industry venues, striving to bridge the gap between academia and industry so that they can benefit from each other.

Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W) x .69 Inches (D)
Weight: 1.16 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 328
Genre: Computers + Internet
Sub-Genre: Natural Language Processing
Publisher: O'Reilly Media
Format: Paperback
Author: Panos Alexopoulos
Language: English
Street Date: September 29, 2020
TCIN: 83300501
UPC: 9781492054276
Item Number (DPCI): 247-56-8144
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.69 inches length x 7 inches width x 9.19 inches height
Estimated ship weight: 1.16 pounds
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Q: Who is the author of this book?

submitted by AI Shopping Assistant - 14 days ago
  • A: The author is Panos Alexopoulos, a professional with extensive experience in data and semantics.

    submitted byAI Shopping Assistant - 14 days ago
    Ai generated

Q: What topics are covered in the book?

submitted by AI Shopping Assistant - 14 days ago
  • A: It covers semantic data modeling, common pitfalls, frameworks, challenges, and organizational strategies for data initiatives.

    submitted byAI Shopping Assistant - 14 days ago
    Ai generated

Q: How does the book help with semantic data challenges?

submitted by AI Shopping Assistant - 14 days ago
  • A: It provides insights into avoiding mistakes, understanding dilemmas, and improving model development and governance.

    submitted byAI Shopping Assistant - 14 days ago
    Ai generated

Q: What is the target audience for this book?

submitted by AI Shopping Assistant - 14 days ago
  • A: The book is aimed at information architects and data science professionals seeking to improve their data management practices.

    submitted byAI Shopping Assistant - 14 days ago
    Ai generated

Q: What is the main focus of the book?

submitted by AI Shopping Assistant - 14 days ago
  • A: The book focuses on the principles and applications of semantic data modeling for enhancing data usability and value.

    submitted byAI Shopping Assistant - 14 days ago
    Ai generated

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