Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas

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 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

語義數據建模能提供什麼價值？作為一名資訊架構師或數據科學專業人士，假設您擁有大量正確的數據和提取業務價值的技術，但仍然失敗了。原因是什麼？是因為數據語義不良。

在這本實用而全面的實戰指南中，作者Panos Alexopoulos帶您進入語義數據建模在實際應用中的驚人旅程。您將學習如何精通這門技藝，以提高數據和應用的可用性和價值。您還將探索要避免的陷阱和克服的困境，以建立高質量和有價值的數據語義表示。

• 了解與語義數據建模相關的基本概念、現象和過程


• 研究語義數據建模的怪異和挑戰，並學習如何有效利用可用的框架和工具


• 避免可能破壞您建立良好數據模型努力的錯誤和不良實踐


• 了解模型開發困境，包括表示、表達能力和內容、開發和治理


• 在您的組織中組織和執行語義數據項目，應對技術、戰略和組織上的挑戰

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.

Panos Alexopoulos自2006年起在數據、語義和軟件的交叉領域工作，致力於構建能為企業和社會創造價值的智能系統。他在希臘雅典出生和長大，目前在荷蘭阿姆斯特丹的Textkernel BV擔任本體論主管，領導一個數據專業團隊開發和提供一個大型跨語言的人力資源和招聘領域的知識圖譜。

Panos在國際會議、期刊和書籍上發表了多篇論文，他也是學術界和工業界的常客演講者和培訓師，致力於彌合學術界和工業界之間的鴻溝，使它們能夠互相受益。