Populating entity name systems for big data integration

Abstract

An Entity Name System (ENS) is a thesaurus for entities. An ENS is a fundamental component of data integration systems, serving instance matching needs across multiple data sources. Populating an ENS in support of co-referencing Linked Open Data (LOD) is a Big Data problem. Viable solutions to the long-standing Entity Resolution (ER) problem are required, meeting specific requirements of heterogeneity, scalability and automation. In this thesis, we propose to develop and implement algorithms for an ER system that address the three key criteria. Preliminary results demonstrate potential system feasibility.