Linked Data: Evolving the Web into a Global Data Space. This book gives an overview of the principles of Linked Data as well as the Web of Data that has emerged through the application of these principles. The book discusses patterns for publishing Linked Data, describes deployed Linked Data applications and examines their architecture. The World Wide Web has enabled the creation of a global information space comprising linked documents.
As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data. Preface Chapter 2 introduces the basic principles and terminology of Linked Data. Building Semantic Web and Linked Data Applications | Strategies for Building Semantic Web Applications.
Simple Knowledge Organization System (SKOS) | Strategies for Building Semantic Web Applications. Semantic Web Programming » OWL 2 in Action – Property Chains. Cytoscape | Semantic Integration Blog. Some Semantic Resources Posted by john.ringland | Filed under Semantic Resources Links to this information and much more can be found on the twine, however here is a selection along with a little information about each. Semantic Web in a Nutshell “The Semantic Web is a web of data. Why not? The Semantic Web is about two things. “For the World Wide Web, the level of granularity is the retrievable file. The Resource Description Framework (RDF) is the standard for representing the relationship between URIs and literals (e.g. float, string, date time, etc.)… RDF is a data model. The Web of Data is a distributed database…. For a broad overview see the 8min video Tim Berners Lee on the Semantic Web .
Ontologies Rather than create a separate ontology for each application domain it is best to consider what other ontologies already provide the required concepts and relations. Instance Diagram Class Diagram What is the Linked Data Cloud? User Generated Content is Growing Exponentially. How to use it?
GeoNames. ORE User Guide - Primer. 1. Why use OAI-ORE? In the physical world we create, use, and refer to aggregations of things all the time. We collect pictures in a photo album, read journals that are collections of articles, and burn CDs of our favorite songs. In this physical world these aggregations are frequently tangible - we can hold the photo album, journal, and CD. But, we also aggregate abstract entities - for example classification schemes aggregate abstract subjects into broader abstract groups.
This practice of aggregating extends to the Web. Because aggregations are not well-defined on the Web, we are limitited in what we can do with them, especially in terms of the services or automated processes that make the Web useful. This primer describes the essence of the solution that OAI-ORE provides to deal with aggregations of Web resources; it is intended for a general audience that wants to obtain a high-level understanding of the OAI-ORE solution. 2. Figure 1: Human start page for an arXiv document 3. 3.1. <? Online Ontology Visualisation.