Paper Info
Title
Trading without Explicit Ontologies
Abstract
Classical approaches to traders in middleware rely on a common language of server, clients, and traders to understand each other. In these systems, pre-defined ontologies play a crucial role. But when dealing with large-scale, open systems such ontologies are no longer available. To cope with this problem, we have developed a radically different approach to trading. Rather than relying 100% on a trader, we assume that traders provide only rough matches and that clients need to make intelligent choices to find a more suited service. To this end, we introduce the notion of trust, which evolves with the client's experience. We implement a simulation of this trust-based trading system and run several test scenarios investigating the use of history and dynamic trust to discover the more suited services. Our analysis and simulation indicate that intelligent clients and rough traders may considerably extend the scope of trading towards large-scale, open distributed systems.
Year
DOI
Venue
2000
10.1007/3-540-44723-7_8
AMEC
Keywords
Field
DocType
crucial role,common language,rough trader,explicit ontologies,open system,trust-based trading system,intelligent choice,intelligent client,dynamic trust,rough match,classical approach,middleware
Middleware,Data science,Ontology (information science),Computer science,Scenario testing,Artificial intelligence,Service selection,Service discovery,Open system (systems theory),Distributed computing
Conference
ISBN
Citations 
PageRank 
3-540-41749-4
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Michael Schroeder123020.02
Julie A. Mccann2114779.79
Dan Haynes310.76