Applications of Ontologies and Problem-Solving Methods

AI Magazine

The Workshop on Applications of Ontologies and Problem-Solving Methods (PSMs), held in conjunction with the Thirteenth Biennial European Conference on Artificial Intelligence (ECAI '98), was held on 24 to 25 August 1998. Twenty-six people participated, and 16 papers were presented. Participants included scientists and practitioners from both the ontology and PSM communities. The first day was devoted to paper presentations and discussions. The second (half) day, a joint session was held with two other workshops: (1) Building, Maintaining, and Using Organizational Memories and (2) Intelligent Information Integration.


Applications of Ontologies and Problem-Solving Methods

AI Magazine

The Workshop on Applications of Ontologies and Problem-Solving Methods (PSMs), held in conjunction with the Thirteenth Biennial European Conference on Artificial Intelligence (ECAI-98), was held on 24 to 25 August 1998. Twenty-six people participated, and 16 papers were presented. Participants included scientists and practitioners from both the ontology and PSM communities. The first day was devoted to paper presentations and discussions. The second (half) day, a joint session was held with two other workshops: (1) Building, Maintaining, and Using Organizational Memories and (2) Intelligent Information Integration. The reason for the joint session was that in all three workshops, ontologies play a prominent role, and the goal was to bring together researchers working on related issues in different communities. The workshop ended with a discussion about the added value of a combined ontologies-PSM workshop compared to separate workshops.


CBROnto: A Task/Method Ontology For CBR

AAAI Conferences

Our approach to Case-Based Reasoning (CBR) is to build integrated systems that combine case specific knowledge with models of general domain knowledge. In this paper we describe CBROnto, the CBR ontology we have developed, as a task/method ontology. CBROnto specifies a modelling framework to describe reusable CBR Problem Solving Methods based on the CBR tasks they solve and the knowledge requirements needed to apply them.


Knowledge Engineering with Software Agents

AAAI Conferences

Increasingly diverse and useful information repositories are being made available over the World Wide Web (Web). However, information retrieved from the Web is often of limited use for problem solving because it lacks task-relevance, structure and context. This research draws on software agency as a medium through which modeldriven knowledge engineering techniques can be applied to the Web. The IMPS (Internet-based Multi-agent Problem Solving) architecture described here involves software agents that can conduct structured online knowledge acquisition using distributed knowledge sources. Agent-generated domain ontologies are used to guide a flexible system of autonomous agents arranged in a server architecture. Generic problem solving methods developed within the expert system community supply structure and context.


Flexible Knowledge Acquisition Through Explicit Representation of Knowledge Roles

AAAI Conferences

The acquisition of knowledge about a task can be viewed as a process of incorporating new knowledge into some existing knowledge structure [Rosenbloom 1988]. The existing knowledge can guide and constrain the search for new knowledge, and the process of integrating the new knowledge with the old may identify additional opportunities for learning. An acquisition system that takes this view needs to represent and understand the knowledge about the task as well as the process of finding and integrating new knowledge. A general trend in research on knowledge acquisition has been to make the knowledge structures that guide acquisition increasingly explicit. In early acquisition tools many of the requirements that needed to be satisfied when adding a new piece of knowledge were not stated.