Intelligent networked information sharing

Abstract

A networked information sharing model is described. The network described comprises a client-server model or a client only model. There exists a shared information database, a shared category database, a shared interest profile database and a shared client enhancement database, each of which is continually and dynamically updated. The shared category database contains categories of interests, within which are weighted and marked information units. Weights are arrived at by empirical use. Marks are maintained to distinguish where the information came from and to access information according to client source preference. The shared interest profile contains a set of profiles which clients are associated with. Useful client categories within profiles are offered when requested. A shared client enhancement list is maintained to identify and weight useful sources of information. A client specific database is maintained with client categories, preferred information sources, weights and weighted information access history. This database is used in conjunction with the shared databases to provide intelligent information sharing.

Description

[0001] This application claims the benefit of prior provisional application Ser. No. 60 / 006,863, filed on Nov. 16, 1995.[0002] 1. Field of the Invention[0003] This invention relates to computer systems and in particular to an intelligent means of acquiring, storing and sharing information.[0004] 2. Description of Prior Art[0005][0006] Servers on the Internet contain vast quantities of information and are distributed around the globe. However, the vast majority of information is of no use to a particular person. Finding information of use requires considerable knowledge as well as time and money. Mosaic offers a graphical user interface to the Internet making access easier. Yet there are tens of thousands of servers to choose from and a large quantity of information to sift through once on an individual server. Furthermore, the server is usually slow due to the number of persons logged onto it and by the network traffic to communicate with it.[0007] There are librarian servers on the...

AI Technical Summary

Problems solved by technology

However, the vast majority of information is of no use to a particular person.

Finding information of use requires considerable knowledge as well as time and money.

Furthermore, the server is usually slow due to the number of persons logged onto it and by the network traffic to communicate with it.

However, these librarian servers are slow due to the magnitude of the search and the large number of requesters.

Further, one may find hundreds of potential files on a given topic; accessing and reading the files to find useful ones takes and wastes considerable time.

However, since the on-line service is charging per minute, one may not have the time to sift through on-line services and bulletin boards to find what one is looking for.

However, the list of services is still very large and one is not confident which if any will be of interest.

Bulletin boards may haphazardly provide specific information of interest.

However, expert systems are expensive and time consuming to produce and maintain.

It would be impossible to cover the vast and evolving information located on the Internet.

Furthermore, the processing time required to run the expert systems would reduce the response time of these already slow servers considerably.

This method falls short in several ways.

Third, people differ.

In a category of movies, as an example, an excellent choice for an English Professor may be a poor choice to an engineer.

This solution is expensive.

Further, what is a good information to the personnel may not be to the person requesting the information.

If the question is highly specialized in a given field, the personnel may not have the technical knowledge to find the appropriate information.

Finally, searching even by a trained person, takes a considerable amount of time.

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