A long-standing goal of AI is the development of intelligent workstation-based personal agents to assist users in their daily lives. A key impediment to this goal is the unrealistic cost of developing and maintaining a detailed knowledge base describing the user’s different activities, and which people, meetings, emails, etc. are affiliated with each such activity. This paper presents a cluster...

This paper presents a practical expert system for the diagnosis of various faults which may occur in the distribution substations. The backward inexact reasoning process is applied for the fault section estimation using the knowledge of topology, the operation rules of protective devices, heuristic knowledge of well-trained operators, and instantaneous alarms. In this paper, the overall structu...

We propose the implementation of an intelligent infor­ mation system on free and open source software. For a first proto­ type we model the knowledge base and the case format used for case­based retrieval. Based on information from the Debian Project package repository and open source software directories we intend to investigate means of mapping the provided technical i...

This paper describes a distributed context processing architecture for an Active Office as an implementation model of an Intelligent Environment. It describes the IE repository, IE resolution, knowledge-based and resources manager as an integrated part of context awareness mechanism which plays an important role in an Active Office. It proposes how the scalable distribution of context and user ...

Knowledge discovery in databases facilitates querying database knowledge, cooperative query answering and semantic query optimization in database systems. In this paper, we investigate the application of discovered knowledge, concept hierarchies, and knowledge discovery tools for intelligent query answering in database systems. A knowledge-rich data model is constructed to incorporate discovere...

In this paper, we present a novel collaborative authoring tool that was designed to allow medical teachers to formalize and visualize their knowledge for medical intelligent tutoring systems. Our goal is to increase the efficiency and effectiveness in creating the domain model representing the problem solution--often referred to as the bottleneck in developing intelligent tutoring systems. We i...

The Knowledge Base Discovery Tool (KBDT) is a suite of tools and components to improve the indexing of and search for documents. KBDT extracts and displays content from documents and builds knowledge indexes based on meaning, rather than keywords. KBDT uses the indexes to perform more intelligent searches. It also includes visualization technology to display relevant results using multi-media, ...

With the fast growth of B2B sales, an intelligent system is greatly useful for decreasing transaction cost and increasing market efficiency on electronic platforms. In order to improve the quality of transaction processing and customer experience, this paper proposes a knowledge-based system, which employs a Case-Based Reasoning (CBR) technique for trade matching in B2B marketplace as a substit...