The PoolParty approach for efficient knowledge modeling

The PoolParty approach for efficient knowledge modeling is based on methods from

  • text analytics and text mining
  • linked data management
  • SKOS thesaurus modeling
  • ontology engineering and
  • semantic wikis

and recombines these techniques to a unique approach to create complex knowledge models which can be further used for all of the above mentioned tasks, semantic search, and knowledge discovery in big data sets.

Yet another search interface for wikipedia?

It has always been worth using exalead from time to time to “exalead” (somehow that verb isn´t that popular as “to google”) one´s favourite search phrases (you usually type in when you start your computer in the morning ;-). That´s because exalead finds sometimes really “new” websites for you when you´re a regular google-user. So, until now exalead was rather interesting as an alternative like alcohol-free beer – give it a chance!

Now there is a reason to go to exalead: Try out exalead´s search over wikipedia and you will have a similiar experience as you have with dbpedia.

You´ll be able to refine your search phrase, therefore exalead offers even typed tagclouds (different colors mean different types of associations, like people or places). A nice Web 2.0-like GUI and high performance convinces finally.

One last question: What if dbpedia and exalead would combine their different approaches (dbpedia tripled wikipedia, exalead still remains in the area of automatic text-extraction) to put even more semantics into wikipedia?

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: