Cluster-Based Instance Consolidation for Subsequent Matching

Instance consolidation is a way to merge instances that are thought to be the same or closely related that can be used to support co-reference resolution and entity linking. For Semantic Web data, consolidating instances can be as simple as relating instances using owl: sameAs, as is the case in linked data, or merging instances that could then be used to populate or enrich a knowledge model. In many applications, systems process data incrementally over time and as new data is processed, the state of the knowledge model changes.