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OntoGene™ Ontology Generator |
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Written by SemanTech SA
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Monday, 17 April 2006 |
Research of information on the Web became a daily act for hundreds of million users. Search engines such as Altavista, Yahoo or Google try with more or less of success to find documents answering in best the expectations of the Internet users. Google team in particular managed to finalize an algorithm of research and an original classification of documents, allowing this company to become the number one in its domain. But all used methods, whatever is their degree of sophistication, do not succeed in performing three essential missions: - Take into account the profile of the user (his interests and intentions, his/her level of knowledge in such or such domain etc.),
- Select the most relevant documents according to the sense of the request,
- Offer tools allowing to understand the information delivered and to translate it into knowledge.
Our team developed a totally unpublished research algorithm and has specialized tools of navigation allowing fulfilling these 3 missions. The core of the system OntoGene™ Ontology Generator is based on a concept and a development by one of the SemanTech's founders (Fabrice Holzer), before and during a previous professional activity to the joint-management of a University Center, Swiss leader in the field of e-Learning. This system, based on a unpublished and revolutionary algorithm, allows to distribute training modules, generated just-in-time and on the demand, according to the learning objectives and the individual profile of end-user. Above all today it is able to contextualize information delivered (Ontological delivery). To illustrate more in detail the potentialities of the system which we developed, you can buy this article appeared in CHIMIA, the official Journal of the Swiss Chemical Society, the Head Federation of the Swiss Chemical and Pharmaceutical Industry. In summary, where our competitors offer a service standardized “One-to-Many”, we offer a “Many-to-One” service, or even “a personalized Infinite-to-One” (personalized i2Me strategy) service. The demand is realtime integrated into the training supply and above all it is contextualized.
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Last Updated ( Monday, 23 June 2008 )
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