Navigating Wikipedia with a little help from a visualisation

One more reason to buy an Apple is Pathway: This program helps to navigate through Wikipedia in a bit more structured way. It visualises pathways through wikipedia and proposes interesting links to other wiki pages. After a while navigating through wikipedia users normally find themselves “totally lost in myriads of loosely related pages. What I needed, was an application that could easily archive the path I follow through Wikipedia pages”, says the author of Pathway.

Thanks to Thomas Fundneider for pointing that out!

Semantic Web is about Knowledge relationship discovery

If you try to explain what the Semantic Web is all about, it always comes to things like “you will find things better in the semantic web…”. But what exactly is it, what you´ll find better?

To my opinion it´s all about relationships – and that´s exactly, what transforms information into knowledge: To know, how things belong together. It sounds trivial, but it´s still not that clear:

Semantic Web is about Knowledge relationship discovery.

A really great example for that was recently published by Sören Auer, Jens Lehmann, Chris Bizer and others:

Semantic Web for CEOs

A short overview for CEOs who want to start a semantic web related project can be found at BusinessWeek. This comprehensive tipsheet mentions for example that you shouldn´t forget your employee´s privacy when you start a semweb project: “Just because you can gather and correlate data about employees doesn’t mean you should. Set usage guidelines to safeguard employee privacy.”

This demonstrates one more time that the semantic web is not only about technology…

Semantic Wikipedia Query

Semantic Wikipedia Query is based on dbpedia.org, which is a community effort to extract structured information from Wikipedia (~ 91. mio. triples) and to make this information available on the Web. It allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data.

This project shows why the semantic web won´t fail: In contrast to simple queries against full-text indices, semantic queries (similar like SQL-based database-queries) allow queries like “show me all projects we´ve done in Russia the last 10 years”. Semantic Queries in the Semantic Web can be realised deploying SPARQL-endpoints and are one of main advantages semantic wikis have compared to classic wikis.

Another great benefit when all the information on the web is “tripled down” comes up, when meshups (with geo-information or foaf-profiles) are realised.

Examples:

Also try out dbpedia search!