I just read an interesting post on SemanticWeb.com – Web 3.0 Leaders Look to the Year Ahead
Worth reading if you’re keen, but if you’re short on time, here’s my four point summary:
- Most User Generated Content will remain unstructured during 2010 – so blogs, Facebook, Twitter, forums, communities will still have volumes of text
- Websites with published content will begin to semantically enable – if only to increase their placement with search engines
- Shared taxonomies, ontologies and folksonomies will appear in 2010 and in 2011 will begin to take their place as formal ontologies that can be reliably referenced
- Triple-stores will not be widely adopted, but their adoption will continue to increase and we will see one or two triple store vendors in ascendance
Things to do in 2010 (for consumer facing organizations)
Here’s a quick primer on the Semantic Web by Jamie Taylor from MetaWeb ‘Integrating the Cloud into Content‘
- Enrich your online content with Semantic Tags – Search Engines are gaining Semantic Capabilities – Bing and Yahoo Search Monkey are able to recognize semantic tags and will use these to provide a much richer search experience to the user. Take a look at Google Squared where I did a search for hotels . OpenCalais analyzes your text, extracts certain entities (typically people, places and organizations) and cross references them with the Linked Open Data Cloud to make sure they are meaningful. There’s a good post on RDFa, SEO and Semantic Technology on WebBackPlane.
- Publish Product Catalogs, Availability and Locations and encourage mashups – BestBuy in the USA and Tesco in the UK are two retailers that have exposed via APIs details of their businesses. Tesco held an open developer evening called Tjam where developers were encouraged to use the APIs to create new and innovative user experiences. BestBuy’s API has resulted in 3 interesting applications. These pilot efforts I see as the shape of things to come.
- Think about how your own internal systems might benefit from Semantic enrichment. Most Business Intelligence applications maintain a dictionary of metadata known as Master Data Management. When given semantic meaning, this data becomes far more useful – enabling discrepancies to be resolved, new linkages to be found and utilized when analyzing facts. There are a couple of very good articles at Information Management and Semantic Universe on this topic.
Semantic Companies and Projects to keep an eye on
- OpenCalais from Thomson Reuters
- Good Relations by Martin Hepp
- Freebase from MetaWeb
- Linking Open Data from W3C
- Oracle Spatial 11g from the big red database people
- Data.gov from the US Government