About rich snippets and structured data - Webmaster Tools Help Rich snippets (microdata, microformats, RDFa, and Data Highlighter) Snippets—the few lines of text that appear under every search result—are designed to give users a sense for what’s on the page and why it’s relevant to their query. If Google understands the content on your pages, we can create rich snippets—detailed information intended to help users with specific queries. Three steps to rich snippets: 1. Google suggests using microdata, but any of the three formats below are acceptable. 2. Google supports rich snippets for these content types: Google also recognizes markup for video content and uses it to improve our search results. 3. Use the structured data testing tool to make sure that Google can read and extract your marked-up data. That’s it! It may take some time for rich snippets to appear in search results or Place Pages. Instead of adding HTML markup to all of your pages, you can use Data Highlighter to help Google understand the content of your pages. Use HTML markup if... Note:
Regione Lombardia :: Home Il documento sotto allegato contiene la relazione delle attività svolte da CRISP e Lombardia Informatica nell'ambito del progetto ITLab da ottobre 2013 ad aprile 2014 e presenta i risultati finali ottenuti e i prototipi sviluppati. L’Agenda Digitale Lombarda prevede tra le proprie aree di intervento la Valorizzazione del Patrimonio Informativo Pubblico. Dal 2012 Regione Lombardia ha attivo il portale www.dati.lombardia.it dove sono pubblicati dati in modalità Open Data i dataset qui pubblicati sono considerati in categoria 3, secondo la classificazione di Tim Berners-Lee universalmente condivisa. Scopo di questa ricerca era di sviluppare un modello che consentisse la trasformazione di questi dataset per presentarli secondo i criteri proposti dalla filosofia denominata Linked Open Data, arrivando così al massimo livello di categorizzazione. Per fare diventare i dataset selezionati "Linked Open Data" sono state svolte queste attività: • sviluppo dell’ontologia dei servizi;
RDF - Semantic Web Standards Overview RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”). This linking structure forms a directed, labeled graph, where the edges represent the named link between two resources, represented by the graph nodes. Recommended Reading The RDF 1.1 specification consists of a suite of W3C Recommendations and Working Group Notes, published in 2014. A number of textbooks have been published on RDF and on Semantic Web in general. Discussions on a possible next version of RDF W3C has recently set up a new RDF Working Group, whose charter is to make a minor revision of RDF. Last modified and/or added All relevant tools
Linked Data | Linked Data - Connect Distributed Data across the Web semanticweb.com - The Voice of Semantic Web Business Semantic University Semantic University is the largest and most accessible source of educational material relating to semantics and Semantic Web technologies. It includes: Lessons suitable to those brand new to the space. There's much more, too—learn more about Semantic University. Semantic University content is split into two sections, each with several tracks. Every lesson comes with its own Forum for further discussion.