Building Knowledge Bases

Summary An important point in the design and implementation of intelligent systems is the process of building a knowledge base. Most of the research in the AI ​​field has shifted from building a general problem solving tool to constructing a knowledge base system to deal with domain specific problems, so many techniques for acquiring and expressing a knowledge base are proposed It has been. This article outlines these techniques and explains some aspects of building knowledge bases and their impact on the overall implementation of intelligent systems.

Aeron: We believe we must share our knowledge. By developing the Aeron project, we will build a knowledge base of actual use cases and ask developers to build by participating in Aeron database and new exciting applications on ecosystem. We will invest in promising projects and provide Aeron tokens from the pool secured for ecosystem development. Aeron: About 90% of aerotrips.com software is ready because it has completed its usability and web design. Currently it is a beta version and we are testing our user and system including one of our partner flight schools, Grifone Airlines of Cyprus. Once completed, the portal will be open to the public in November 2017.

A knowledge base is a collection of experiences, situations, and methods to solve urgent problems. In business environments, the idea for building an effective knowledge base is to improve query resolution and quality results, and you need to start the entire process of creating a knowledge base from scratch. Shorten turnaround time - Solving customer inquiries and delivering projects on time will be top priority for any company. Provide an instant solution quoted