Enterprise Knowledge Agents: Agent-Based Discovery of Like-Minded Individuals

Agent-based computing environments provide the capability to establish an enterprise of autonomous agents that collaborate and share information on common interests. Discovery of new data can alert users to changes in the information environment of importance to them. The goal of this research is to define an agent environment that models an organization´s tacit knowledge. This document proposes a process to find named entities in the content of documents and to derive context from a user community. The EKA system ingests RSS feeds of data sources that are representative of separate users, extracts entities from the text, and provides context on each entity using related tags. Knowledge representations of the news feeds are created, managed, and reasoned over by a collection of agents. Agents will respond to pre-registered topics and provide notifications when those topics have been identified. The purpose here is to illustrate that an agent can serve as a broker of knowledge and assist users in identifying like-minded individuals through an analysis of the data the user is working with and initiate collaboration.