Semantic Modeling for Data

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.

Semantic Modeling for Data

Author: Panos Alexopoulos

Publisher: "O'Reilly Media, Inc."

ISBN: 1492054224

Page: 330

View: 150

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

Related Books:

Semantic Modeling for Data
Language: un
Pages: 330
Authors: Panos Alexopoulos
Categories: Computers
Type: BOOK - Published: 2020-08-19 - Publisher: "O'Reilly Media, Inc."

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
Semantic Modeling for Data
Language: un
Pages: 350
Authors: Panos Alexopoulos
Categories: Computers
Type: BOOK - Published: 2020-12-08 - Publisher: O'Reilly Media

Perhaps you're an information architect on a mission to make your organization's data more understandable and usable across applications. Or a knowledge engineer working to infuse domain knowledge into the next Alexa or Siri. Or a machine learning expert having difficulty obtaining the right data for your models. If you
Semantic Web for the Working Ontologist: Effective Modeling for Linked Data, RDFS, and OWL
Language: un
Pages: 510
Authors: James Hendler, Fabien Gandon, Dean Allemang
Categories: Computers
Type: BOOK - Published: 2020-08-03 - Publisher: ACM Books

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise data is no long a monolith; it is just a part of a vast
Semantic Modeling for the Acquisition of Topographic Information from Images and Maps
Language: un
Pages: 231
Authors: Wolfgang Förstner, Lutz Plümer
Categories: Computers
Type: BOOK - Published: 1997-05-01 - Publisher: Springer Science & Business Media

Acquiring spatial data for geoinformation systems is still mainly done by human operators who analyze images using classical photogrammetric equipment or digitize maps, possibly assisted by some low level image processing. Automation of these tasks is difficult due to the complexity of the object, the topography, and the deficiency of
Fourth Workshop on Computer Architecture for Non-numeric Processing
Language: en
Pages: 133
Authors: Wolfgang Förstner, Lutz Plümer
Categories: Computer architecture
Type: BOOK - Published: 1978 - Publisher:

Books about Fourth Workshop on Computer Architecture for Non-numeric Processing