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Semantics and Power of Data - Consistency - Governance - Standardization
Paperback
Series: Data Governance, Book 23
Please select the version of book you would like to purchase.
ISBN13: 9798314291627
Publisher: Independently Published
Published: Mar 16 2025
Pages: 158
Weight: 0.48
Height: 0.34 Width: 6.00 Depth: 9.00
Language: English
Publisher: Independently Published
Published: Mar 16 2025
Pages: 158
Weight: 0.48
Height: 0.34 Width: 6.00 Depth: 9.00
Language: English
It is undeniable that we are facing a deluge of data that threatens to drown us. In this context, semantics emerges as the compass that guides navigation in the informational ocean. Semantics and Power of Data - Consistency - Governance - Standardization invites you to a deep and sophisticated exploration of the foundations that underpin data governance in the digital age. This book is not just a technical guide, but an intellectual expedition that will lead you to unlock the secrets of the language of data, turning it into strategic knowledge. Get ready for a read that transcends the conventional, inspired by the clarity and insight of Joanna Penn and the innovative vision of Brian Cohen. On this journey, you will:
- Master the art of differentiating data, information, and knowledge, understanding the hierarchy that connects them.
- Exploit the power of semantic interoperability, building bridges between disparate systems and data.
- Unravel the mysteries of data and metadata modeling, learning to structure information accurately and elegantly.
- Navigate the universe of ontologies and taxonomies, creating shared vocabularies that facilitate communication and understanding.
- Master metadata standards, such as Dublin Core, RDF, OWL, and SKOS, and apply them masterfully in data governance.
- Learn to standardize and normalize data, ensuring the consistency and quality of information.
- Build data dictionaries and metadata catalogs, essential tools for intelligent information management.
- Explore the semantic component and its types, mastering the art of identification, reference, qualification and sentence.
- Unravel semantics as a cognitive architecture in the age of artificial intelligence, exploring the role of ontologies in machine learning and explainable AI.
- Analyze use cases and good practices in different domains, from healthcare to industry 4.0, and how semantics is transforming the world.
- Explore the trends and perspectives of semantics in the age of massive data, unlocking data intelligence in Web 3.0 and beyond. By the end of this reading, you will be able to:
- Make strategic decisions based on reliable and semantically rich data.
- Optimize data management in your organization by eliminating silos and promoting interoperability.
- Lead the digital transformation in their area of expertise, using semantics as an innovation tool.
- Understand the future of semantics in the data society, preparing for the challenges and opportunities of the information age. This book is for you if you are:
- Data governance professional.
- Data scientist.
- Information architect.
- Business analyst.
- IT Manager.
-Researcher.
- Student of areas related to information science and technology.
- Anyone who seeks to understand the power of semantics in information management. Get ready for an intellectual journey that will transform your perspective on information and empower you to lead the era of intelligent management. About the author.
Prof. Marcão, Master in Information Technology and author of more than 200 books, is a technology thinker who has been working in information architecture and attribute engineering since the 1980s. His most significant contribution to the field lies in the development of innovative methodologies for Data Governance, Big Data, and Data Warehouse, including data modeling patterns, data warehouse, data model validation and management, as well as data mart development.
- Exploit the power of semantic interoperability, building bridges between disparate systems and data.
- Unravel the mysteries of data and metadata modeling, learning to structure information accurately and elegantly.
- Navigate the universe of ontologies and taxonomies, creating shared vocabularies that facilitate communication and understanding.
- Master metadata standards, such as Dublin Core, RDF, OWL, and SKOS, and apply them masterfully in data governance.
- Learn to standardize and normalize data, ensuring the consistency and quality of information.
- Build data dictionaries and metadata catalogs, essential tools for intelligent information management.
- Explore the semantic component and its types, mastering the art of identification, reference, qualification and sentence.
- Unravel semantics as a cognitive architecture in the age of artificial intelligence, exploring the role of ontologies in machine learning and explainable AI.
- Analyze use cases and good practices in different domains, from healthcare to industry 4.0, and how semantics is transforming the world.
- Explore the trends and perspectives of semantics in the age of massive data, unlocking data intelligence in Web 3.0 and beyond. By the end of this reading, you will be able to:
- Make strategic decisions based on reliable and semantically rich data.
- Optimize data management in your organization by eliminating silos and promoting interoperability.
- Lead the digital transformation in their area of expertise, using semantics as an innovation tool.
- Understand the future of semantics in the data society, preparing for the challenges and opportunities of the information age. This book is for you if you are:
- Data governance professional.
- Data scientist.
- Information architect.
- Business analyst.
- IT Manager.
-Researcher.
- Student of areas related to information science and technology.
- Anyone who seeks to understand the power of semantics in information management. Get ready for an intellectual journey that will transform your perspective on information and empower you to lead the era of intelligent management. About the author.
Prof. Marcão, Master in Information Technology and author of more than 200 books, is a technology thinker who has been working in information architecture and attribute engineering since the 1980s. His most significant contribution to the field lies in the development of innovative methodologies for Data Governance, Big Data, and Data Warehouse, including data modeling patterns, data warehouse, data model validation and management, as well as data mart development.
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