The Web is changing faster than you can imagine and it is going to continue to do so. Rather than starting over from scratch each time, it builds on what has succeeded already. Webs of Documents are giving way to machine-processable Webs of Information. We no longer care about data containers, we only care about data and how it connects to what we already know.
Roughly 25% of the Web is semantically marked up now and the search engines are indexing this information, enriching their knowledge graphs and rewarding you for providing them with this information.
In the past we had to try to convince developers to adopt new data models, storage engines, encoding schemes, etc. Now we no longer have to worry about that. Rich, reusable interface elements like Web Components can be built using Semantic Web technologies in ways that intermediate developers don’t have to understand but end users can still benefit from. Embedded JSON-LD now allows disparate organizations to communicate complex data sets of arbitrary information through documents without collaboration.
Perhaps the concepts of the Semantic Web initiative are new to you. Or perhaps you have been hearing for years how great technologies like RDF, SPARQL, SKOS and OWL are and have yet to see anything real come out of it.
Whether you are jazzed or jaded, this workshop will blow your mind and provide you with the understanding of a technological shift that is already upon us.
In this workshop, we will:
Explain the Web and Web architecture at a deeper level
Apply Web and Semantic Web technologies in the Enterprise and make them work together
Integrate structured and unstructured information
Create good, long-lived logical names (URIs) for information and services
Use the Resource Description Framework (RDF) to integrate documents, services and databases
Use popular RDF vocabularies such as Dublin Core, FOAF
Query RDF and non-RDF datastores with the SPARQL query language
Encode data in documents using RDFa and JSON-LD
Create self-describing, semantic Web Components
Model and use inferencing with the Web Ontology Language (OWL)
Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. His experience has spanned many industries including retail, banking, online games, defense, finance, hospitality and health care. He has a B.S. in Computer Science from the College of William and Mary and lives in Auburn, CA. He focuses on web architecture, resource-oriented computing, social networking, the Semantic Web, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies of the late 20th and early 21st Centuries. He is also a rabid reader, devoted foodie and has excellent taste in music. If pressed, he might tell you about his International Pop Recording career.More About Brian »