The 'Semantic Web' is one of the key differentiators of Web 3.0, but few developers really understand what it is or how they can use it to enhance their websites. Mastering Structured Data On The Semantic Web explains the practical aspects and the theory behind the semantic web and how structured data, such as Microformats, can be used to boost the efficiency of data processing and data transfer on your sites. The Semantic Web is also hugely important in the current Big Data trend, and this book shows you how to best prepare and structure your data for data mining and graphing.
In spite of the distinct advantages of machine-readable metadata, Semantic Web technologies are not yet widely deployed. With the introduction of HTML5 there is a new hope to widely adopt semantics in web documents. This book will familiarize you with the leading vocabularies and ontologies and explain how your data can be structured around them to achieve the best results. It also covers the most important toolkits and APIs for both structuring and accessing your data. HTML5 has many extensions published by the W3C, the largest web standardization body in the world, but many designers are not familiar with semantic web specifications such as HTML5 Microdata, which is an alternative to other, previously released machine-readable metadata annotations like microformats and RDFa. Mastering Structured Data On The Semantic Web will get you ahead of the curve on Web 3.0 and help you to optimize your sites for the metadata revolution.
- ISBN: 978-1-4842-1050-5
- Editorial: Apress
- Encuadernacion: Rústica
- Fecha Publicación: 12/08/2015
- Nº Volúmenes: 1
- Idioma: Inglés