A Strategy for Selecting Relevant Attributes in the Entity Resolution Process

• Gabrielle K. Canalle Federal University of Pernambuco
• Bernadette F. Lóscio Federal University of Pernambuco
• Ana Carolina Salgado Federal University of Pernambuco

DOI: https://doi.org/10.5753/sbbd.2016.24338

Abstract

Data integration is an essential task for achieving a unified view of data stored in heterogeneous and distributed sources. A key step in this process is the Entity Resolution, which consists of identifying instances that refer to the same real-world entity. Functions that evaluate the similarity between values of attributes are used to identify equivalent instances. This work proposes a strategy for selection of relevant attributes to consider in the instance matching phase in the process of entity resolution. This strategy employs characteristics from attributes, such as the quantity of duplicated and null values, aiming to identify the most relevant to the instance matching process.

Keywords: Data Integration, Entity Resolution

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