On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Applied numerical linear algebra
Applied numerical linear algebra
EDUTELLA: a P2P networking infrastructure based on RDF
Proceedings of the 11th international conference on World Wide Web
Improving Case Representation and Case Base Maintenance in Recommender Agents
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
A Case-Based Reasoning Approach to the Resolution of Faults in Communication Networks
Proceedings of the IFIP TC6/WG6.6 Third International Symposium on Integrated Network Management with participation of the IEEE Communications Society CNOM and with support from the Institute for Educational Services
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
The Piazza peer data management project
ACM SIGMOD Record
The Knowledge Engineering Review
P2P case retrieval with an unspecified ontology
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Crawling Bug Tracker for Semantic Bug Search
DSOM '08 Proceedings of the 19th IFIP/IEEE international workshop on Distributed Systems: Operations and Management: Managing Large-Scale Service Deployment
Fault Resolution in Case-Based Reasoning
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Applying Semantic Techniques to Search and Analyze Bug Tracking Data
Journal of Network and Systems Management
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Our research aims to assist operators in finding solutions for faults using distributed case-based reasoning. One key operation of the distributed case-based reasoning system is to retrieve similar faults and solutions from various online knowledge sources. In this paper, we propose a multi-vector representation method which employs various semantic and feature vectors to exploit the characteristics of faults described in semi-structured data. Experiments show that this method performs well in fault retrieval.