Peter Edwards

Learn More
In recent years, interface agents have been developed to assist users with various applications. Some researchers have embedded machine learning techniques within agents to assist the user in performing various tasks, and to adapt to the user’s changing requirements. With the increase in the volume of data on the Internet, agents to assist in handling this(More)
The original Semantic Web vision was explicit in the need for intelligent autonomous agents that would represent users and help them navigate the Semantic Web. We argue that an essential feature for such agents is the capability to analyse data and learn. In this paper we outline the challenges and issues surrounding the application of clustering algorithms(More)
This report describes a synthesis of two well-known agent paradigms: Agent-Oriented Programming, Shoham (1990), and the Knowledge Query & Manipulation Language, Finin (1993). The initial implementation of AOP, Agent-0, is a simple language for specifying agent behaviour. KQML provides a standard language for inter-agent communication. Our integration (which(More)
This paper describes a multi-agent system, GraniteNights, modelled on the Agentcities project “evening agent” scenario. GraniteNights allows a user to plan an evening’s entertainment in the city of Aberdeen, Scotland. The application fuses agent and Web technology, being viewed as an agent-based Web service. In particular, Semantic Web standards are used to(More)
To provide a~istance with t~ml~ such M retrieving USENET news articles or identifying interesting Web pages, an intelligent agent requires information about a user’s interests and needs. Machine learning techniques are now being used to acquire this information. A general architecture is presented, and two approaches to learning through observation are(More)
In this paper we explore the use of proposed semantic grid standards and methodology through deployment of a land use modelling service. The FEARLUS-G service architecture is presented which allows large scale simulation experiments to be distributed over the grid. We also discuss ontology support for simulation parameters, hypotheses and results that(More)
In the e-Science context, workflow technologies provide a problemsolving environment for researchers by facilitating the creation and execution of experiments from a pool of available services. In this paper we will show how Semantic Web technologies can be used to overcome a limitation of current workflow languages by capturing experimental constraints and(More)
BACKGROUND Despite the proven effectiveness of many medications for chronic diseases, many patients do not refill their prescriptions in the required timeframe. OBJECTIVE Compare the effectiveness of 3 pharmacist strategies to decrease time to refill of prescriptions for common chronic diseases. RESEARCH DESIGN/SUBJECTS: A randomized, controlled clinical(More)
We argue that in a distributed context, such as the Semantic Web, ontology engineers and data creators often cannot control (or even imagine) the possible uses their data or ontologies might have. Therefore ontologies are unlikely to identify every useful or interesting classification possible in a problem domain, for example these might be of a(More)