Brian Sletten

Presentations

REST : Information-Driven Architectures for the 21st Century

There is a shift going on in the Enterprise. While still used and useful, the promises of the SOAP/WSDL/UDDI Service-Oriented Architecture (SOA) stack have failed to live up to their promise. A new vision of linked information is enveloping online and Enterprise users. The REST architectural style is squarely behind this thinking as a way of achieving low-cost, flexible integration, increased data security, greater scalability and long-term migration strategies.

If you have dismissed REST as a toy or are unfamiliar with it, you owe it to yourself to see what is so interesting about this way of doing things.

There is tremendous interest in REpresentational State Transfer (REST) as an architectural style for building scalable, flexible, information-driven architectures in the Enterprise. The success of the Web has caught our attention in the face of increased complexity and many failures with more traditional Web Services technologies. The problem is that it is difficult to sell a way to do things. Managers do not want to feel like they are innovating in the middleware space. They want to understand why they should deviate from the blue prints laid down by the industry leaders. They want to understand when they should use REST, when they should use SOAP and when they might fallback to regular old Java-based messaging. They want to make business-based technology decisions that lay a path to forward progress rather than paying for technological flux.

This talk will introduce REST and walk through why it is so important and makes such a difference. We will talk about REST API design, security, long-lived systems, content-negotiation, contract enforcement, when REST might not make sense, etc.

REST and the Web Architecture are the basis for many exciting things happening on the Web and within our organizations. You owe it to yourself to make sure you really "get it".

This talk should be accessible to everyone but is probably intermediate level.

RDFA : Weaving Richness and Meaning in the Web

The human web is reasonably well in hand by now. We are getting pretty good at building systems that people find valuable and entertaining. We have not spent as much time concerned about our software friends. There is a ton a rich content available on the web that is too difficult to extract in automated ways using just XHTML, the meta tag and microformats. This talk will introduce you to some emerging technologies from the Semantic Web camp to enrich your web pages with useful information for both automated extraction and improved browsing experiences.

Meta tags and microformats are useful but will only get us so far. The Resource Description Framework (RDF) is the metadata substrate of the Semantic Web that will take us to the next level of machine-processability and the Web. It allows you to express fairly arbitrary relationships about people, places, things, and content in an open world way. It is trivial to mix and match terms, vocabularies, etc. and to have a rich expressive capability not bound by the limitations of the relational data model and XML schemas. GRDDL is a technology for generating RDF metadata from content on demand. This can include XML documents, XML-RPC requests, XHTML pages, etc. The content could include authorship information, geotagging, creative commons license information, the topic of the document, etc. RDFa allows us to be more explicit about the metadata by embedding actual RDF relationships in our content. With technologies no more complicated than the presentation markup we are already using, you can imbue any web tier with extra semantic specialsauce that will benefit your users as well as help link you into the emerging Web of data.

SPARQL : Querying the Web of Data

The human-friendly Web is about nicely-formatted, accessible content for users to browse. There are emerging Data Webs (both public and private) that rely on technologies from the Semantic Web stack to link increasingly rich connections between various data sources. SPARQL and RDF are the main tools for expressing and using this connectivity. This talk will introduce you to one of these topics and the practical and accessible aspects of employing them on the Web and in the Enterprise.

Getting people to come to consensus on common models and schemas is usually the hardest part of any data integration strategies. These technologies help lower the bar on both the technical and social costs of stepping up your integration strategies.

We will explore:

• an introduction to RDF and the SPARQL query language
• the fantastically successful Linked Data project that connections billions of interrelated content
• how to include relational data in the mix
• how to include enriched Web pages in the mix
• how to build client-friendly applications on top of this information

The Semantic Web : The Future, Now

Just as the world is feeling comfortable with the Web, Tim Berners-Lee et al inform us that what we have seen so far is just the beginning. His original plans at CERN were larger and grander. The Semantic Web is a vision of machine-processable documents and metadata to improve search, knowledge discovery and data integration and management. The only problem is that there is no such thing. There is no Semantic Web, just the Web we have that is increasingly semantics-enabled.

Forget the hype. Come learn how the technologies of this vision are being used today on the Web and in the Enterprise by more people than you might think.

Attendees will learn:

The history and motivations behind the Semantic Web vision An honest assessment of where we are and what is likely to unfold The technology stack involved (including RDF, RDFS, SKOS and OWL) Tools built around this stack Introduction to how they can help you today