Searching distributed collections with inference networks
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Learning collection fusion strategies
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
STARTS: Stanford proposal for Internet meta-searching
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Methods for information server selection
ACM Transactions on Information Systems (TOIS)
Automatic discovery of language models for text databases
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Cluster-based language models for distributed retrieval
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
GlOSS: text-source discovery over the Internet
ACM Transactions on Database Systems (TODS)
Server selection on the World Wide Web
DL '00 Proceedings of the fifth ACM conference on Digital libraries
The impact of database selection on distributed searching
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Query-based sampling of text databases
ACM Transactions on Information Systems (TOIS)
A language modeling framework for resource selection and results merging
Proceedings of the eleventh international conference on Information and knowledge management
QProber: A system for automatic classification of hidden-Web databases
ACM Transactions on Information Systems (TOIS)
Server Ranking for Distributed Text Retrieval Systems on the Internet
Proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA)
A Methodology for Collection Selection in Heterogeneous Contexts
ITCC '02 Proceedings of the International Conference on Information Technology: Coding and Computing
Concept Hierarchy Based Text Database Categorization in a Metasearch Engine Environment
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 1 - Volume 1
A Meta-Search Method Reinforced by Cluster Descriptors
WISE '01 Proceedings of the Second International Conference on Web Information Systems Engineering (WISE'01) Volume 1 - Volume 1
Flexible power scheduling for sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Distributed search over the hidden web: hierarchical database sampling and selection
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Adaptive energy-efficient registration and online scheduling for asymmetric wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Contextualized query sampling to discover semantic resource descriptions on the web
Information Processing and Management: an International Journal
Computer Networks: The International Journal of Computer and Telecommunications Networking
An evolutionary approach to query-sampling for heterogeneous systems
Expert Systems with Applications: An International Journal
Foundations and Trends in Information Retrieval
Evolutionary approach for semantic-based query sampling in large-scale information sources
Information Sciences: an International Journal
A framework for knowledge reuse in product design and development process
International Journal of Metadata, Semantics and Ontologies
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Distributed information retrieval has pressing scalability concerns due to the growing number of independent sources of on-line data and the emerging applications. A promising solution to distributed retrieval is metasearching, which dispatches a user's query to multiple sources and gathers the results into a single result set. An important component of metasearching is selecting the set of information sources most likely to provide relevant documents. Recent research has focused on how to obtain statistics for the selection task. In this paper we discuss different information source selection approaches and their applicability for resource-constrained sensor network applications.