Foundations of a functional approach to knowledge representation.
Artificial Intelligence
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Introduction to Algorithms
Adaptive duplicate detection using learnable string similarity measures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Ontology mapping: the state of the art
The Knowledge Engineering Review
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Strategies for referent tracking in electronic health records
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Topic Tracer: a Visualization Tool for Quick Reference of Stories Embedded in Document Set
IV '06 Proceedings of the conference on Information Visualization
URI identity management for semantic web data integration and linkage
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
OtO matching system: a multi-strategy approach to instance matching
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
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This paper presents a novel model of co-reference knowledge, which is based on the distinction of (i) a model of a common reality, (ii) a model of an agent's opinion about reality, and (iii) a model of agents' opinions if they talk about the same object or not. Thereby it is for the first time possible to describe consistently the evolution of the agent's knowledge and its relative consistency, and to formally study algorithms for managing co-reference knowledge between multiple agents if they have the potential to lead to higher states of consistency, independent from the particular mechanism to recognize co-reference. As an example, a scalable algorithm is presented based on monitoring atomic knowledge increments and an abstract notion of belief ranking. The presented approach has a wide potential to study the formal properties of current methods to find co-reference, and to lead to new methods for the global management of co-reference knowledge.