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The LSOtool® team
 

I initially developed my expertise in SEO in 2003, in a quest to improve the ranking of my personal website. I gradually realised the extreme importance of good content for achieving a good ranking on the major search engines – as well as the shortcomings in existing SEO wisdom regarding the interpretation of good content. At that point I started to study exactly how all major search engines do their work. 

 

I dived into the theory of Latent Semantic Analysis at the end of 2004 and have since developed a profound knowledge on this topic. At the same time I developed various models that had the potential to be used for Search Engine Optimization (SEO).

 

As with most success stories, it was by coincidence I met David De Bock on Cebit who introduced me to his theory of Latent Semantic Optimization or LSO in the beginning of 2005. David had written a theoretical model to approach the ideal content or ContentDNA as he calls it by using an experimental model based on LSA and LSI.

I rewrote the theoretical model with his assistance to be used in an online application for Latent Semantic Optimization or LSO.

 
In order to build the extensive software and hardware platform needed for a commercial application, I have gradually convinced and gathered the team described below.
 
Bart studied ancient languages in Leuven, Belgium and now works as a PR manager for a big marketing company in Brussels. While certainly no IT expert, he brought the vital linguistic and grammatical skills we needed to understand some of the processes profoundly. Bart taught us the fundamental linguistic rules that were required to develop our parsing software as realistically as possible. He has also masterminded and written several of the procedures in the LSI and LSA process.
 
Alex works as a leading programmer for one of the biggest software developers in Belgium. As an independent consultant, he has developed the global architecture of our web crawlers and web spiders for the LSOtool®. A professional expert in setting up global architectures to retrieve large amounts of data in the shortest time possible, Alex has developed a master-slave-node setup for us that enables unlimited scalability at relatively low costs.
 
Peter is our application developer, specialised in Linux, SQL, PHP5 and Apache servers. An expert in large-scale database architecture, he joined our team to improve the performance of the core software application.
Peter has used his extensive practical knowledge as programmer for a large search engine to optimize our code with techniques similar to those currently used by the more intelligent search engines.
 
Ben works as an independent IT consultant in Belgium and is an expert in setting up large-scale networks and parallel processing. Ben is the architect of Server Park II: this server park is essentially a parallel computer that processes all the LSA and LSI calculations in order to compute the ContentDNA. Thanks to the parallel setup of relatively simple servers, we have been able to increase the scalability of our system considerably.
 
Manish and Sudhir have developed several different modules for our front-end web application. We continue to adjust and improve this platform today to meet the growing demand for our ContentDNA runs.
 
Stieve has his own computer shop in Brussels and specialises in building massively performance-enhanced gaming PCs. While we are no gaming geeks, we have the same goals when it comes to the servers of our networks: namely, “extreme high performance”, “highly memory efficient” and “the lowest possible budget”.
Stieve has built most of our servers from scratch – and he continues to maintain them, too.