Invited Talks

Benjamin Grosof,
Vulcan Inc.

Title:
SILK:  Higher Level Rules with Defaults and Semantic Scalability

Abstract:
We overview the technical approach and motivations of the SILK system  for semantic rules and ontologies, that radically extends the knowledge representation (KR) power of currently commercially important business  rule systems, including not only Prologs but also production rules and event-condition-action rules, database systems, and semantic web.

=============================================================

Bob Kowalski,
Department of Computing, Imperial College London, UK.

Title:
Integrating Logic Programming and Production Systems in Abductive  Logic Programming Agents

Abstract:
In this talk we argue the case for integrating the distinctive functionalities of logic programs and production systems within an abductive logic programming agent framework. In this framework, logic programs function as an agent's beliefs and production rules function as the agent’s goals. The semantics and proof procedures are based on abductive logic programming, in which logic programs are integrated with integrity constraints that behave like production rules. Similarly to production systems, the proof procedure is an operational semantics, which manipulates the current state of a database, which is modified by actions implemented by destructive assignment. The semantics can be viewed as generating a model, based on the sequence of database states and logic program, which makes the production rules true.


=============================================================

Tutorial

Address:
Thomas Lukasiewicz
Computing Laboratory, University of Oxford, UK

Title:
Uncertainty Reasoning for the Semantic Web

Abstract:
Significant research activities have recently been directed towards the Semantic Web as a potential future substitute of the current World Wide Web. Many experts predict that the next huge step forward in Web information technology will be achieved by adding semantics to Web data. An important role in research towards the Semantic Web is played by formalisms and technologies for handling uncertainty and/or vagueness. In this tutorial motivating examples for handling uncertainty and/or vagueness in the Semantic Web will be given along with an overview of some of the presenter's recent formalisms for handling uncertainty and/or vagueness in the Semantic Web.