Semantic Web for the Working Ontologist

Semantic Web for the Working Ontologist
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Book Description
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 web of data. Managing data on a world-wide scale is a key capability for any business today.
The Semantic Web treats data as a distributed resource on the scale of the World Wide Web, and incorporates features to address the challenges of massive data distribution as part of its basic design. The aim of the first two editions was to motivate the Semantic Web technology stack from end-to-end; to describe not only what the Semantic Web standards are and how they work, but also what their goals are and why they were designed as they are. It tells a coherent story from beginning to end of how the standards work to manage a world-wide distributed web of knowledge in a meaningful way.
The third edition builds on this foundation to bring Semantic Web practice to enterprise. Fabien Gandon joins Dean Allemang and Jim Hendler, bringing with him years of experience in global linked data, to open up the story to a modern view of global linked data. While the overall story is the same, the examples have been brought up to date and applied in a modern setting, where enterprise and global data come together as a living, linked network of data. Also included with the third edition, all of the data sets and queries are available online for study and experimentation at data.world/swwo.

Content

Chapter 1. What Is the Semantic Web?
Chapter 2. Semantic Modeling
Chapter 3. RDF—The Basis of the Semantic Web
Chapter 4. Semantic Web Application Architecture 
Chapter 5. Linked Data
Chapter 6. Querying the Semantic Web—SPARQL
Chapter 7. Extending RDF: RDFS and SCHACL
Chapter 8. RDF Schema
Chapter 9. RDFS-Plus
Chapter 10. Using RDFS-Plus in the Wild
Chapter 11. SKOS—Managing Vocabularies with RDFS-Plus
Chapter 12. Basic OWL
Chapter 13. Counting and Sets in OWL
Chapter 14. Ontologies on the Web—Putting It All Together
Chapter 15. Good and Bad Modeling Practices
Chapter 16. Expert Modeling in OWL
Chapter 17. Conclusions and Future Work

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