Sanda M. Harabagiu Dan I. Moldovan University of Southern California Southern Methodist University Los Angeles, CA 90089-2562 Dallas, Texas 75275-0122 [email protected] [email protected] Abstract This paper introduces a system intended for question answering based on abductive inference. The system uses a large knowledge base structured around WordNet. Texts and questions are uniformly proce...

An intelligent user interface (POISE) is described that provides facilities for defining and supporting higher-level user tasks. Although an object-based data model forms an important part of the POISE system, other types of knowledge such as task descriptions and tool descriptions are required. The management of instantiations of the task and object descriptions is a complex process because PO...

This paper presents an intelligent database system to support petrographic analysis. The main goal of the research is to solve problems in knowledge acquisition and representation to develop efficient systems in domains with weak theory. The proposition of this work is to use case-based reasoning technology coupled with a database system to develop systems that store and manage the information ...

Besides the evaluation of intelligent systems with respect to the accuracy the robustness of such systems is often an important issue to consider. Robustness relates the correct output of a system to possibly incorrect input or possibly biased knowledge included in the system. In this paper we extend the approach by Groot et al. [GvHtT00] by a pre-analysis step considering the used case base an...

The development of a knowledge-based design support system is a lengthy and costly process because various computational techniques necessary for intelligent design support are not readily available in a knowledge-based environment. The systematisation of design knowledge needs combined e€orts from designers and knowledge engineers. Existing knowledge-based system development tools o€er limited...

Knowledge-based systems must be able to “intelligently” manage a large amount of information coming from different sources and at different moments in time. Intelligent systems must be able to cope with a changing world by adopting a “principled” strategy. Many formalisms have been put forward in the AI and DB literature to address this problem. Among them, belief revision is one of the most su...

In 1984, Dr. Douglas Lenat set out to construct an intelligent system capable of automated, common-sense reasoning and natural language understanding through the capture and formalization of general, real-world information. This effort would eventually become the Cyc Knowledge Server [2], which has since grown into an extensive knowledge base, formal language, and inference system supported and...

This paper describes a project that extends the multiple objective decision support system (MODSS) by offering knowledge-based guidance to an intelligent multiple objective decision support system (IMODSS). This IMODSS integrates expert system (ES), multiple objective decision-making (MODM) methodologies, graphical user interface (GUI) and decision support systems (DSS) technologies. This IMODS...

Manufacturing operations have empiric nature. Under any kind of problem during the execution of a given process, practical knowledge, experience and intuition have been used in solving these problems. However, many firms face problems since they do not have an adequate knowledge base to maintain and represent skills and expertise. Therefore, the importance of developing intelligent systems that...