Towards data abstraction in networked information retrieval systems
Information Processing and Management: an International Journal
Navigational plans for data integration
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Probabilistic Datalog: implementing logical information retrieval for advanced applications
Journal of the American Society for Information Science
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 probabilistic datalog rules for information classification and transformation
Proceedings of the tenth international conference on Information and knowledge management
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
On schema matching with opaque column names and data values
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Statistical schema matching across web query interfaces
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
iMAP: discovering complex semantic matches between database schemas
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Composing schema mappings: second-order dependencies to the rescue
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Information retrieval and machine learning for probabilistic schema matching
Proceedings of the 14th ACM international conference on Information and knowledge management
Automatic structured query transformation over distributed digital libraries
Proceedings of the 2006 ACM symposium on Applied computing
Information retrieval and machine learning for probabilistic schema matching
Information Processing and Management: an International Journal
Search and browse services for heterogeneous collections with the peer-to-peer network Pepper
Information Processing and Management: an International Journal
Preference-Based Uncertain Data Integration
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
A Survey on Uncertainty Management in Data Integration
Journal of Data and Information Quality (JDIQ)
Rewriting fuzzy queries using imprecise views
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
oMAP: combining classifiers for aligning automatically OWL ontologies
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
A top-k query answering procedure for fuzzy logic programming
Fuzzy Sets and Systems
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This paper introduces the first formal framework for learning mappings between heterogeneous schemas which is based on logics and probability theory. This task, also called “schema matching”, is a crucial step in integrating heterogeneous collections. As schemas may have different granularities, and as schema attributes do not always match precisely, a general-purpose schema mapping approach requires support for uncertain mappings, and mappings have to be learned automatically. The framework combines different classifiers for finding suitable mapping candidates (together with their weights), and selects that set of mapping rules which is the most likely one. Finally, the framework with different variants has been evaluated on two different data sets.