Despite important progress in the area of intelligent systems, most such systems still lack commonsense knowledge that appears crucial for enabling smarter, more human-like decisions. In this paper, we present a system based on a series of algorithms to distill fine-grained disambiguated commonsense knowledge from massive amounts of text. Our WebChild 2.0 knowledge base is one of the largest co...

The complex stage in building expert system is knowledge acquisition from domain experts and translated it to representation approach in knowledge base of expert system. In this paper we present an automatic way to extract knowledge from domain experts directly and converted it to facts and rules in knowledge base for rule-based expert system using intelligent agent. That means, the construct o...

For many years we have held to the notion that an Intelligent Information System (IIS) is composed of a unified knowledge base, database, and model base. The main idea behind this notion is the transparent processing of user queries. The system is responsible for “deciding” which information sources to access in order to fulfil a query regardless of whether this involves a data retrieval, an in...

Web-based Intelligent Design and Tutoring System (WINDS) is a European project with the objective to implement a learning environment integrating an intelligent tutoring system, a computer instruction management system and a set of cooperative tools. This environment will be used to build a large knowledge base supporting Architecture and Civil Engineering Design Courses and to experiment a com...

This paper reviews research conducted in the Texas A&M University Flight Simulation Laboratory on intelligent systems for general aviation. Over the last eight years several intelligent cockpit systems and pilot decision-aiding tools have been created and developed for general aviation aircraft, using fix-based flight simulation validation and evaluation. This paper reviews these results, and a...

Our purpose is to improve the design of Decision Support Systems (DSS), Knowledge Base Systems (KBS) and Intelligent Decision Support Systems (IDSS). To achieve this goal we define life-cycle processes of designing DSS and the actors they involved. We would like to provide support to knowledge engineers at the beginning of the process. This paper presents a conceptual framework to model man-mac...

This paper focuses on a qualitative fault diagnosis method based on the integration and fusion of shallow and deep knowledge for liquid-propellant rocket engines (LRE). The paper firstly clarifies the concept and the types of LRE diagnosis knowledge. Later, from the isomorphic transform point of view, the paper analyses the correlation of different knowledge and knowledge representation, and fo...

In this paper we present a concept of a flexible and modular architecture for intelligent cruise control (ICC). The architecture can be subdivided into three different processing steps: the object-related analysis of sensor data, the behavior-based scene interpretation and the behavior planning. Each of it works on collected sensor information as well as on a knowledge base, which can be broade...