Semantic Web Interest Group - Publications
Notes
- Deliverers
- Semantic Web Interest Group
HTML microdata [MICRODATA] is an extension to HTML used to embed machine-readable data into HTML documents. Whereas the microdata specification describes a means of markup, the output format is JSON. This specification describes processing rules that may be used to extract RDF [RDF-CONCEPTS] from an HTML document containing microdata.
- Deliverers
- Semantic Web Interest Group
The document describes a mapping of the vCard specification (RFC6350) to RDF/OWL. The goal is to promote the use of vCard for the description of people and organisations utilising semantic web techniques and allowing compatibility with traditional vCard implementations.
- Deliverers
- Semantic Web Interest Group
This guide aims to help publishers and consumers of HTML data use it well. With several syntaxes and vocabularies to choose from, it provides guidance about how to decide which meets the publisher's or consumer's needs. It discusses when it is necessary to mix syntaxes and vocabularies and how to publish and consume data that uses multiple formats. It describes how to create vocabularies that can be used in multiple syntaxes and general best practices about the publication and consumption of HTML data.
- Deliverers
- Semantic Web Interest Group
VoID is an RDF Schema vocabulary for expressing metadata about RDF datasets. It is intended as a bridge between the publishers and users of RDF data, with applications ranging from data discovery to cataloging and archiving of datasets. This document is a detailed guide to the VoID vocabulary. It describes how VoID can be used to express general metadata based on Dublin Core, access metadata, structural metadata, and links between datasets. It also provides deployment advice and discusses the discovery of VoID descriptions.
- Deliverers
- Semantic Web Interest Group
This report discusses an effort to apply the Resource Description Framework (RDF) to iCalendar data in order to integrate calendar data with other Semantic Web data such as social networking data, syndicated content, and multimedia meta-data. We demonstrate the effectiveness of a test-driven approach to vocabulary development and we discuss a number of social as well as technical issues.