On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Selection criterion and implementation of a trouble tracking system: what's in a paradigm?
SIGUCCS '94 Proceedings of the 22nd annual ACM SIGUCCS conference on User services
Applied numerical linear algebra
Applied numerical linear algebra
An algorithm for suffix stripping
Readings in information retrieval
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
SEQUEL: A structured English query language
SIGFIDET '74 Proceedings of the 1974 ACM SIGFIDET (now SIGMOD) workshop on Data description, access and control
Supporting online problem-solving communities with the semantic web
Proceedings of the 15th international conference on World Wide Web
Semantic Web: Concepts, Technologies and Applications (NASA Monographs in Systems and Software Engineering)
Ontologies in the Engineering of Management and Autonomic Systems: A Reality Check
Journal of Network and Systems Management
Ontological Semantics for Distributing Contextual Knowledge in Highly Distributed Autonomic Systems
Journal of Network and Systems Management
Fault representation in case-based reasoning
DSOM'07 Proceedings of the Distributed systems: operations and management 18th IFIP/IEEE international conference on Managing virtualization of networks and services
Applying the Web ontology language to management information definitions
IEEE Communications Magazine
Ontology mapping for the interoperability problem in network management
IEEE Journal on Selected Areas in Communications
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The Web has become an important knowledge source for resolving system installation problems and for working around software bugs. In particular, web-based bug tracking systems offer large archives of useful troubleshooting advice. However, searching bug tracking systems can be time consuming since generic search engines do not take advantage of the semi-structured knowledge recorded in bug tracking systems. We present work towards a semantics-based bug search system which tries to take advantage of the semi-structured data found in many widely used bug tracking systems. We present a study of bug tracking systems and we describe how to crawl them in order to extract semi-structured data. We describe a unified data model to store bug tracking data. The model has been derived from the analysis of the most popular systems. Finally, we describe how the crawled data can be fed into a semantic search engine to facilitate semantic search.