Semantic Web Applications GoodRelations BBC Artists BBC World Cup 2010 Website Emma Nherera

GoodRelations is the most powerful vocabulary for publishing all of the details of your products and services in a way friendly to search engines, mobile applications, and browser extensions. By adding a bit of extra code to your Web content, you make sure that potential customers realize all the great features and services and the benefits of doing business with you, because their computers can extract and present this information with ease.

GoodRelations is an OWL-compliant ontology that describes the domain of e-commerce. It can be used to express an offering of a product, specify price, describe a business etc. The RDF syntax for GoodRelations allows this information to be embedded into existing web pages so that they can be processed by other computers.

Benefits of GoodRelations GoodRelations helps improve search Adding GoodRelations to webpages improves the visibility in search engines It also delivers a better search experience to users It allows for very specific search queries and gives very precise answers

Semantic SEO GoodRelations lets you send a rich description of your products and services to search engines, browser extensions, and mobile applications using RDF syntax. This means your product pages will render with more relevant information that will attract customers.

Examples of Businesses that can benefit from using this e-commerce Ontology Restaurants Restaurants can use GoodRelations to publish opening hours, payment options, and daily menu cards, which will be accessible for search engines. The menu cards will be automatically accessible in up to 50 languages thanks to this ontology. Automobile Industry Manufacturers and dealers of cars can publish all characteristics and features of their vehicles on the Web. This allows other applications to fairly compare a vast number of vehicle offers. Concert Tickets You can publish all kinds of ticket information in a single format that mobile applications & search engines will use for helping potential customers find their way to your site.

BBC Artists The BBC Music Beta project is an effort by the BBC to build semantically linked and automated webpages about artists whose songs are played on BBC radio stations. In these pages are collections of data that are enhanced and interconnected with semantic metadata. Users can explore connections between artists that they may have never known existed. Information is pulled from external sites such as MusicBrainz and WikiPedia BBC has adopted the RDF standard and mapped its own data schema with that published by MusicBrainz.

Artists Page Example – John Lennon

This artist page contains 60 triples from which a further 300 triples can be inferred using 40 different ontologies. These describe family relations, music domain, times and dates, geographical information, social relations etc. This website uses Semantic Web Technology such as URIs as identifiers and aligns them with semantic data providers Web pages can be created and maintained with less manpower.

By simply adding.rdf to the URI of any BBC Artist web page – the RDF will be served up. c61c-4120-ba1b-d7f471d385b9.rdf

BBC World Cup 2010 Website

Example of Player Page

The BBC World Cup site featured over 700 web pages and was powered by a semantic publishing framework. The site boasted a comprehensive ontology, that output "automated metadata- driven web pages" created on- the-fly. The basis of this system was an ontology that described how World Cup facts related to each other. For example, "Frank Lampard" was part of the "England Squad" and the "England Squad" competed in "Group C" of the "FIFA World Cup 2010". BBC World Cup 2010 Website

800+ Dynamic aggregations/pages (Player, Team, Group, etc.), generated through SPARQL queries Average unique page requests/day: 2 million Average SPARQL queries/day: 1 million 100s repository updates/inserts per minute with OWL 2 RL reasoning Multi data center fully resilient, clustered 6 node triple store Website Statistics

Example of BBC Sport Ontology

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