On the semantics of rule-based expert systems with uncertainty
Lecture notes in computer science on ICDT '88
Answering queries using views (extended abstract)
PODS '95 Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Assessing data quality in accounting information systems
Communications of the ACM
Complexity of answering queries using materialized views
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
The complexity of query reliability
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Obtaining Complete Answers from Incomplete Databases
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Using Probabilistic Information in Data Integration
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
Computing complete answers to queries in the presence of limited access patterns
The VLDB Journal — The International Journal on Very Large Data Bases
Towards an algebraic theory of information integration
Information and Computation - Special issue: Commemorating the 50th birthday anniversary of Paris C. Kanellakis
Data integration for the semantic web with full preferences
Proceedings of the 2nd international workshop on Ontologies and information systems for the semantic web
Towards an algebraic theory of information integration
Information and Computation
An abstract framework for generating maximal answers to queries
ICDT'05 Proceedings of the 10th international conference on Database Theory
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When gathering data from multiple data sources, users need uniform, transparent access to data. Also, when extracting data from several independent, often only partially sound and complete data sources, it is useful to present users with meta-information about the confidence in the answer to a query, based on the number and quality of the sources that participated in constructing the answer. We consider the problem of querying collections of sources with incomplete and partially sound data. We provide a method for checking the consistency of a source collection, we give a tableaux-based characterization for the set of possible worlds consistent with a given source collection and we propose a probabilistic semantics for query answers.