Provenance-Aware Entity Resolution: Leveraging Provenance to Improve Quality
Entity resolution (ER) - the process of identifying records that refer to the same real-world entity - pervasively exists in many application areas. Nevertheless, resolving entities is hardly ever completely accurate. In this paper, we investigate a provenance-aware framework for ER. We first propose an indexing structure that can be efficiently built for provenance storage in support of an ER process. Then a generic repairing strategy, called coordinate-split-merge (CSM), is developed to...[Show more]
|Collections||ANU Research Publications|
|Source:||Lecture Notes in Computer Science (LNCS)|
|01_Wang_Provenance-Aware_Entity_2015.pdf||496.21 kB||Adobe PDF||Request a copy|
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