How we solve it

Here we describe the vision of the project and what are the main constituent and how they meet each requirements.

What is may be the most important is that the system must be self constructive, able to progress openly. This is achieved with a very minimal initial prerequisite in the database and a powerfull extensibility framework.

 Second we don't want to be cut from the world. A lot of evolutions are going to occur and we want to follow them with minimal effort. For this purpose Kneaver is very modular and rely on standards: RDF, SPARQL, REST, Dublin Core, XML, SVG.

We want to leverage all parts of our mind we included the ability to display and edit in multiple modes like Wiki, Mindmap, Outline. The template engine build into Kneaver is capable to manage and produce seamlessly text, graphic and video.

Text and Keywords are the most powerful means of consolidate our thoughts. Kneaver integrates a very powerful aggregator engine. It takes the place of a traditionnal database engine but assemble piece of knowledge on the fly. Build internally we feature natural language processing, semantic networks and complex queries. We call this the spiral query because starting from an item they are aggregated based on their distance on hard links and soft links. The database itself can reside in MSSQL, oracle, MySQL.

 Obviously web access is a must today but we have also several desktop features for example you can capture thoughts and information right from your desktop with a simple function key. Integration is also available for Internet Explorer and Outlook.

When you start accumulating information and knowledge in the system you are also buidling the scaffolding for it. Items can become classes for more items, you also define process applicable as items.

To embrass completely the power of the system we made prompters available at any time. They will help you to make progress, based on your actual contents. You can also choose from our collection of methodology sheets depending on your case.

 Openness. For many of us ready made is not enough. Our open API allows the power of Kneaver to be integrated to your existing environment. The query system is extensible and be queried directly in SPARQL. Database connectors can be added to integrate with more Knowledge sources.

Read further to see how features applies to practical examples.