Bilattices and the semantics of logic programming
Journal of Logic Programming
On the foundations of the universal relation model
ACM Transactions on Database Systems (TODS)
Guest Editor's Introduction: Cooperative Information Systems
IEEE Expert: Intelligent Systems and Their Applications
Quality-driven Integration of Heterogenous Information Systems
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
Automatic accuracy assessment via hashing in multiple-source environment
Expert Systems with Applications: An International Journal
Expressing and processing timeliness quality aware queries: the DQ2L approach
CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
Hi-index | 0.00 |
Data quality in Cooperative Information Systems (CISs) which integrate a number of local heterogeneous database systems is an increasingly important issue. Current in-practice developed CISs are based on different software and architectural paradigms, and are specified a number of ad-hoc algorithms for quality query-answering, without an unifying logic framework (differently from well defined semantics in data integration systems). The consequence is that each software system responds in some way to user queries with record for which is not often clear if it is really a logic answer from CISs database. Sometimes it is not also clear if the records obtained are complete answers w.r.t. the logically derivable answers from the system. Because of such considerations, in this paper we present a general framework for a query-answering in a logic theory in Data Quality Cooperative Information Systems (DaQuinCIS), by an epistemic extension of the standard data integration systems, and we introduce also a 4-valued logic in order to deal with incomplete and inconsistent information.