Searching distributed collections with inference networks
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Relevant document distribution estimation method for resource selection
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Distributed Computing Economics
Queue - Object-Relational Mapping
SUSHI: scoring scaled samples for server selection
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Classification-based resource selection
Proceedings of the 18th ACM conference on Information and knowledge management
A joint probabilistic classification model for resource selection
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Concept-Based Information Retrieval Using Explicit Semantic Analysis
ACM Transactions on Information Systems (TOIS)
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
An ontology-based information retrieval model
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
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In federated information systems, deciding whether an information source is relevant for a given query is crucial for its overall performance. Focusing on uncooperative unstructured information sources, we analyze several drawbacks of the popular CORI resource selection algorithm by evaluating it in a federated product information scenario. Based on these results, we propose and describe a novel approach using an ontology-based sampling method, which is used to initialize an Explicit Semantic Analysis index.