MIT Press

A Semantic Web Primer

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Learn the core concepts of the semantic web. Understand how to build and apply semantic data for advanced web solutions.

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Additional information

Additional information

Authors

jflint

Publisher

MIT Press

Published On

2008

Language

English

ISBN

978-0262013626

Format

pdf

Size (MB)

2.40 MB

Description

A Semantic Web Primer

Semantic Web Primer is an essential course designed to introduce learners to the concepts, technologies, and applications of the Semantic Web. This course guides you through the foundations of web semantics and how to make web data understandable and actionable by machines.

Introduction

Welcome to A Semantic Web Primer. This course provides a comprehensive introduction to the Semantic Web, focusing on its principles, standards, and practical applications. You will learn how to enrich web content with meaning, enabling smarter search, reasoning, and data integration.

Why This Course Matters

  • Learn the core technologies and standards behind the Semantic Web, such as RDF, OWL, and SPARQL.
  • Understand how semantic annotations enhance machine-readability and interoperability of web data.
  • Gain practical skills for designing semantic models and linked data applications.
  • Bridge the gap between web development and knowledge representation for AI-driven applications.

Who Should Enroll

This course is ideal for:

  • Web developers seeking to integrate semantic technologies into their applications.
  • Data scientists interested in linked data, knowledge graphs, and reasoning.
  • Researchers and students exploring AI, knowledge representation, and intelligent web applications.
  • Professionals aiming to enhance data interoperability and discoverability on the web.

What You Will Learn

  • Fundamentals of the Semantic Web and its vision.
  • How to model and represent data using RDF (Resource Description Framework).
  • Ontology creation with OWL (Web Ontology Language) for structured knowledge representation.
  • Querying semantic data using SPARQL and integrating it with web applications.
  • Linked Data principles and best practices for publishing and connecting datasets.
  • Practical applications of semantic technologies in AI, search engines, and knowledge management.

Course Benefits

Upon completion, you will be able to design, implement, and query semantic data models, understand linked data concepts, and apply Semantic Web standards to real-world problems. You will also gain the knowledge to leverage semantic technologies for smarter web applications and enhanced data integration.


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Additional information

Authors

jflint

Publisher

MIT Press

Published On

2008

Language

English

ISBN

978-0262013626

Format

pdf

Size (MB)

2.40 MB

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