Kayvium has developed a breakthrough technology for efficiently indexing, exploring and analyzing semantic relationships in large collections of documents. Kayvium uses sophisticated mathematical techniques that decompose documents into basic information elements that can be recombined into user-defined knowledge structures.
Kayvium provides a set of integrated tools that enable you to interactively create and refine a knowledge model that aligns with your domain of interest. The Kayvium engine iteratively evolves this knowledge model by gathering, organizing and refining information and highlighting underlying information patterns. Kayvium accomplishes this complex task by generating links between the knowledge model and associated details found in documents within your organization and across the Web.
Current knowledge modeling tools tend to be academic in nature, and difficult
for subject matter experts to use in business applications. Kayvium meets
this challenge by hiding complexity behind simple visual interfaces and
by leveraging powerful automated document analysis techniques. Kayvium
incorporates leading edge model visualization and manipulation tools developed
for the next wave of Internet technology – the “semantic web”. Kayvium
also leverages emerging semantic web standards (Ontology Web Language
- OWL) from the World Wide Web consortium (W3C), an industry consortium
responsible for standardizing the core web protocols.