1What Is The Semantic Web?
3RDF – The Basis of the Semantic Web
4SPARQL – The Query Language for RDF
5Semantic Web Application Architecture
6RDF And Inferencing
7RDF Schema Language
9SKOS – the Simple Knowledge Organization System
10Ontologies in the Wild: Linked Open Data and the Open Graph Project
12Counting and Sets In OWL
13MORE Ontologies in the Wild: QUDT, GoodRelations, and OBO Foundry
14Good and Bad Modeling Practices
15OWL 2.0 Levels and Logic
17Frequently Asked Questions
Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL / Edition 2by Dean Allemang, James Hendler
Pub. Date: 06/03/2011
Publisher: Elsevier Science
Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL, Second Edition, discusses the capabilities of Semantic Web modeling languages, such as RDFS (Resource Description Framework Schema) and OWL (Web Ontology Language). Organized into 16 chapters, the book provides examples to illustrate the use of Semantic Web technologies in solving
Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL, Second Edition, discusses the capabilities of Semantic Web modeling languages, such as RDFS (Resource Description Framework Schema) and OWL (Web Ontology Language). Organized into 16 chapters, the book provides examples to illustrate the use of Semantic Web technologies in solving common modeling problems. It uses the life and works of William Shakespeare to demonstrate some of the most basic capabilities of the Semantic Web.
The book first provides an overview of the Semantic Web and aspects of the Web. It then discusses semantic modeling and how it can support the development from chaotic information gathering to one characterized by information sharing, cooperation, and collaboration. It also explains the use of RDF to implement the Semantic Web by allowing information to be distributed over the Web, along with the use of SPARQL to access RDF data. Moreover, the reader is introduced to components that make up a Semantic Web deployment and how they fit together, the concept of inferencing in the Semantic Web, and how RDFS differs from other schema languages. Finally, the book considers the use of SKOS (Simple Knowledge Organization System) to manage vocabularies by taking advantage of the inferencing structure of RDFS-Plus.
This book is intended for the working ontologist who is trying to create a domain model on the Semantic Web.
- Updated with the latest developments and advances in Semantic Web technologies for organizing, querying, and processing information, including SPARQL, RDF and RDFS, OWL 2.0, and SKOS
- Detailed information on the ontologies used in today's key web applications, including ecommerce, social networking, data mining, using government data, and more
- Even more illustrative examples and case studies that demonstrate what semantic technologies are and how they work together to solve real-world problems
- Elsevier Science
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Table of Contents
1What Is The Semantic Web?
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I was talking to alice
Are you a working ontologist? If you are, then this book is for you! Authors Dean Allemang and James Hendler, have done an outstanding job of writing a book which aims to give the reader detailed insight into the Semantic Web, by providing the tools necessary for working with it. Allemang and Hendler, begin by introducing you to the AAA slogan: One of the basic tenets of the Web in general and the Semantic Web in particular. In addition, the authors describe semantic modeling as a way of making sense of unorganized information. They then focus on the Resource Description Framework (RDF), as the means to distribute data on the Web. Then, they look at components like RDF parsers, serializers, stores, and query engines, that are not semantic models in themselves, but the components of a system that will include semantic models. The authors continue by showing you examples of how the SPARQL query language works. Next, they show you how very simple interfacing can provide value for data integration. In addition, the authors define RDFS, which is maintained by the W3C and operates on a small number of interface rules that deal mostly with relating classes to subclasses and properties to classes. They then show you how RDFS-PLUS builds on top of RDFS to include constraints on properties and notions of equality. The authors then take the first step toward discussing the Ontology Web Language (OWL), in which more elaborate constraints on how information is to be merged can be specified. Then, the authors discuss the OWL further, which builds to include rules for describing classes based in allowed values for properties. They continue by presenting the modeling capabilities of OWL that go beyond RDFS-Plus. Next, the authors show you how the OWL augments the preceding capability with a full set theory language, including intersections, unions, and components. They then discuss the three ontologies: Good Relations, QUDT, and OBO Foundry; and, then cover the spectrum from ontologies that include almost no data at all to ontologies that include very large amounts of richly interconnected data. In addition, according to the AAA slogan, the authors cannot say that any of the good and bad modeling practices are errors, because anyone can say anything about any topic. Finally, they describe the following four subsets: OWL 2 EL, OWL 2 QL, OWL 2 RL and OWL 2 DL; and, the rationale for why each subset has been identified and named. This most excellent book is about modeling in the context of the Semantic Web. Perhaps more importantly, this book is about what role a model plays in the big vision!