Intelligent Content Environment

In a day-to-day life, we are used to handling and absorbing a lot of data from various sources, covering different areas of our personal and business life. Our brains are well trained with processing this data and qualifying it as valuable information, or disposing of it as irrelevant data.

In our business processes, we are dealing with data in forms of computer documents and other types of files. Since computers are already helping us write those documents and exchange them with other users, why not try and ‘teach’ our computers to also ‘understand’ those documents? By thorough examination and analysis of the documents’ content, the computer would be able to recognize some of its key parts and points. Based on those points, it could be able to make a decision, whether some particular document contains some information, valuable to us, or not, and act upon it.

Artificial Intelligence is about ‘knowing’ and acting on that knowledge. Nowadays, there is plenty of valuable information published on the internet. We have encyclopedias, news and other media agencies, dedicated content stores, all available to us for immediate use. We can only absorb a specific amount of information in a given time, but computers, with all the storage options available today, can store much more information than a single human’s brain can. For a human, learning means reading books, attending lectures and conversing with other humans, which takes us a lot of valuable time. On the other hand, for a machine, learning could simply mean accessing some web sites with a specific query, carefully processing and analyzing the returned content, then classifying it by estimated relevance. Allowing computer system to expand its ‘knowledge’ this way would prove an incredible benefit in the future user-computer interaction. With storing and constantly expanding users’ profile, by remembering their input and tracking their behavior, it would make that a very personal relationship. Imagine computer assistants, helping people by instantly serving relevant information, when they need it, how they need it, in a friendly, conversation-like form.

We need to build a base for a powerful, but user-friendly Content Management System, which would later develop into AI-powered Intelligent Content Environment. Such system should be accessible from practically everywhere, anytime, and from different devices or media. Its main features should include automatic data acquisition from various (on-line) resources; intelligent content recognition of either structured or non-structured data; complex data analysis using text patterns and other data mining techniques; reliable storage of any standard or user-defined data format; content versioning with full change history; advanced classification and information cataloguing using context tags; cross-linking and referencing various internal, as well as external pieces of information, complex full-text and date-based (version) searching; customized content publishing and delivering; granular customizable security with user roles; intelligent analysis of users’ behavior, allowing system to associate users with containing data and create appropriate responses. All features would be rounded up in whole with the advanced workflow options for maximizing user experience in the whole content management processing.

Ljubljana, 10.4.2006

Andrej Tozon