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The Semantic Web Revisited
It is argued that agents can only flourish when standards are well established and that the Web standards for expressing shared meaning have progressed steadily over the past five years.
An integrated trust and reputation model for open multi-agent systems
- T. D. Huynh, N. Jennings, N. Shadbolt
- Computer Science, BusinessAutonomous Agents and Multi-Agent Systems
- 1 September 2006
Fire, a trust and reputation model that integrates a number of information sources to produce a comprehensive assessment of an agent’s likely performance in open systems, is presented and is shown to help agents gain better utility than their benchmarks.
Resource Description Framework (RDF)
An introduction to RDF and its related vocabulary definition language RDF Schema is provided, and its relationship with the OWL Web Ontology Language is explained.
A Framework for Web Science
- Tim Berners-Lee, W. Hall, J. Hendler, K. O’Hara, N. Shadbolt, D. Weitzner
- Computer ScienceFound. Trends Web Sci.
This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures. A comprehensive set of research questions is outlined,…
Ontological user profiling in recommender systems
Ontological inference is shown to improve user profiling, external ontological knowledge used to successfully bootstrap a recommender system and profile visualization employed to improve profiling accuracy are shown.
FIRE: An Integrated Trust and Reputation Model for Open Multi-Agent Systems
FIRE is a trust and reputation model that integrates a number of information sources to produce a comprehensive assessment of an agent's likely performance and is shown to help agents effectively select appropriate interaction partners.
Eliciting Knowledge from Experts: A Methodological Analysis
The psychological study of expertise has a rich background and has recently gained impetus in part because of the advent of expert systems and related technologies for preserving knowledge. In the…
Ranking Ontologies with AKTiveRank
AKTiveRank is presented, a prototype system for ranking ontologies based on a number of structural metrics, which addresses the need for methods to evaluate and rank existing ontologies in terms of their relevance to the needs of the knowledge engineer.
Knowledge Engineering and Management
The CommonKADS methodology, developed over the last decade by an industry-university consortium led by the authors, is used throughout the book and makes as much use as possible of the new UML notation standard.
Use of the Critical Decision Method to Elicit Expert Knowledge: A Case Study in the Methodology of Cognitive Task Analysis
The Critical Decision Method research illustrates the sorts of knowledge representation products that can arise from cognitive task analysis and shows how one can approach methodological issues surrounding Cognitive task analysis, including questions about data quality and method reliability, efficiency, and utility.