APPLE SIRI & Resource Description Framework-a

The Apple iphone audience is excited about Siri on the new iPhone 4S. Apple’s acquisition of Siri in 2010 has become a voice-activated “personal assistant” which can at your voice request pull up Wikipedia info about celebrities or else calculate the number of days until your next meeting. Its natural language expertise and semantic technology also include GPS to provide a map and route. Though there may still be some U.S.-centricity. Siri has hard core semantic technology. Like the Facebook OpenGraph story, this is another example of semantic web going mainstream. The Open Graph front story was all about social media, but the back story was their adoption of RDFa from the semantic web community.

Android makes significant use of XML already, but although XML Schema is sufficient for exchanging data between parties who have agreed to the definitions beforehand, their lack of semantics prevents machines from reliably performing this task with new XML vocabularies. In addition, the expressive power of RDF  and RDF Schema  (RDFS) while a significant improvement over XML, is still very limited. RDF is roughly limited to binary ground predicates and RDF Schema is roughly limited to a subclass hierarchy and a property hierarchy with domain and range definitions.

For machines to perform useful automatic reasoning tasks on Web documents, the language machines use must go beyond the basic semantics of XML Schema and RDF Schema. They will require a more expressive and reasoning ontology language, as a result, the W3C has defined Web Ontology Language  (called OWL).

 However, these advances are still away in the distance while RDFa is available now to show significant progress for Android apps.

 The Semantic Tech & Business Conference - Washington, D.C. is on November 29 - December 1 for presentations, panels, case studies, and conversations. At the event, you'll connect with other business and technology executives and learn how to take advantage of semantic technologies in your enterprise and web-based systems.

The Resource Description Framework (RDF) model defines a semantic graph as an arbitrary collection of triples. RDFa creates structured information that is human/machine-readable. Concepts such as people, places, events, and things can be marked up in Web documents. An RDFa store provides standard interfaces for the management of database connections (such as Oracle, MySQL, Berkeley DB, etc..). In addition, it provides interfaces for the manipulation, management, and/or retrieval of triples (including inferenced results).

For ease of use and clarity RDF can be converted into HTML or RDFa format for the Web.

RDF conversion to RDFa:

RDF conversion to HTML:

Conversion Example :

Friend of a Friend FOAF

RDF to HTML conversion:

Thinking on the Web: Berners-Lee, Turing and Godel

Developing Semantic Web Services

Connections: Patterns of Discovery