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- Publications
- Influence
Foundation and application of knowledge base verification
- A. Preece, R. Shinghal
- Mathematics, Computer Science
- Int. J. Intell. Syst.
- 1994
Anomalies such as redundant, contradictory, and deficient knowledge in a knowledge base are symptoms of probable errors. Detecting anomalies is a well‐established method for verifying knowledge‐based… Expand
Ontology Reconciliation
- A. Hameed, A. Preece, D. Sleeman
- Computer Science
- Handbook on Ontologies
- 2004
Ontologies are being applied very successfully in supporting information and knowledge exchange between people and organisations. However, for many reasons, different people and organisations will… Expand
Agent-based formation of virtual organisations
- T. Norman, A. Preece, +8 authors N. Fiddian
- Computer Science
- Knowl. Based Syst.
- 1 May 2004
Virtual organisations (VOs) are composed of a number of individuals, departments or organisations each of which has a range of capabilities and resources at their disposal. These VOs are formed so… Expand
The KRAFT architecture for knowledge fusion and transformation
- A. Preece, Kit-Ying Hui, +4 authors Zhan Cui
- Computer Science
- Knowl. Based Syst.
- 1 April 2000
This paper describes the Knowledge Reuse And Fusion/Transformation (KRAFT) architecture which supports the fusion of knowledge from multiple, distributed, heterogeneous sources. The architecture uses… Expand
Principles and practice in verifying rule-based systems
- A. Preece, R. Shinghal, Aïda Batarekh
- Computer Science
- Knowl. Eng. Rev.
- 1 June 1992
This paper surveys the verification of expert system knowledge bases by detecting anomalies. Such anomalies are highly indicative of errors in the knowledge base. The paper is in two parts. The first… Expand
Better Knowledge Management through Knowledge Engineering
The authors believe that current knowledge management practice significantly under-utilizes knowledge engineering technology, despite recent efforts to promote its use. They focus on two knowledge… Expand
Kraft: An Agent Architecture for Knowledge Fusion
- A. Preece, Kit-Ying Hui, +4 authors D. M. Jones
- Computer Science
- Int. J. Cooperative Inf. Syst.
- 1 March 2001
Knowledge fusion refers to the process of locating and extracting knowledge from multiple, heterogeneous on-line sources, and transforming it so that the union of the knowledge can be applied in… Expand
Verifying ontological commitment in knowledge-based systems
- Andrew Waterson, A. Preece
- Computer Science
- Knowl. Based Syst.
- 1 April 1999
Abstract An ontology defines the terminology of a domain of knowledge: the concepts that constitute the domain, and the relationships between those concepts. In order for two or more knowledge-based… Expand
Asking 'Why' in AI: Explainability of intelligent systems - perspectives and challenges
- A. Preece
- Computer Science
- Intell. Syst. Account. Finance Manag.
- 1 April 2018
Recent rapid progress in machine learning (ML), particularly so‐called ‘deep learning’, has led to a resurgence in interest in explainability of artificial intelligence (AI) systems, reviving an area… Expand
Sensor-Mission Assignment in Constrained Environments
- M. Johnson, H. Rowaihy, +4 authors A. Preece
- Computer Science
- IEEE Transactions on Parallel and Distributed…
- 1 November 2010
When a sensor network is deployed in the field it is typically required to support multiple simultaneous missions, which may start and finish at different times. Schemes that match sensor resources… Expand