Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Searching distributed collections with inference networks
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Effective retrieval with distributed collections
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Automatic discovery of language models for text databases
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
A decision-theoretic approach to database selection in networked IR
ACM Transactions on Information Systems (TOIS)
GlOSS: text-source discovery over the Internet
ACM Transactions on Database Systems (TODS)
Digital libraries: Introduction
Communications of the ACM
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Query-based sampling of text databases
ACM Transactions on Information Systems (TOIS)
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Using Schema Matching to Simplify Heterogeneous Data Translation
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Database Schema Matching Using Machine Learning with Feature Selection
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Facilitating the Exchange of Explicit Knowledge through Ontology Mappings
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Statistical schema matching across web query interfaces
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Web metasearch: rank vs. score based rank aggregation methods
Proceedings of the 2003 ACM symposium on Applied computing
Learning to match ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
Ontology mapping: the state of the art
The Knowledge Engineering Review
The effectiveness of automatically structured queries in digital libraries
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
iMAP: discovering complex semantic matches between database schemas
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Ontology Evolution: Not the Same as Schema Evolution
Knowledge and Information Systems
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Schema Matching Using Duplicates
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Distributed search over the hidden web: hierarchical database sampling and selection
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
sPLMap: a probabilistic approach to schema matching
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
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Structured data and complex schemas are becoming the main way to represent the information many Digital Libraries provide, thus impacting the services they offer. When searching information among distributed Digital Libraries with heterogeneous schemas, the structured query with a given schema (the global or target schema) has to be transformed into a query over the schema of the digital library it will be submitted to (the source schema). Schema mappings define the rules for this query transformation. Schema matching is the problem of learning these mappings.In this paper we address the issue of automatically learning these mappings and transforming a structured query over the target schema into a new structured query over the source schema. We propose a simple and effective schema matching method based on the well known CORI selection algorithm and two ways of applying it. By evaluating the effectiveness of the obtained structured queries we show that the method works well in accessing distributed, heterogeneous digital libraries.