Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas

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