On schema matching with opaque column names and data values
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Reference reconciliation in complex information spaces
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Mapping maintenance for data integration systems
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Domain-independent data cleaning via analysis of entity-relationship graph
ACM Transactions on Database Systems (TODS)
Data integration: the teenage years
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Improving Grouped-Entity Resolution Using Quasi-Cliques
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Collective entity resolution in relational data
ACM Transactions on Knowledge Discovery from Data (TKDD)
Adaptive graphical approach to entity resolution
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
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Academic data from the researchers' curricula are valuable data for several management activities, and several institution publishes data that can be seen as part of those curricula, including the Lattes Curricula System from CNPq, the Digital Bibliography & Library Project, ISI Web of Knowledge and the Portal Brasileiro de Informação Científica from CAPES. However, integrating data from those sources can lead to inconsistency and/or incompleteness, as they can describe the same academic object in distinct ways. In this paper, we describe a tool aimed at improving the process of reconciling the description of academic objects obtained from distinct sources, called the Academic Data Reconciler. It performs similarity searches over two sets of academic objects from the same category, and aligns the pairs of more similar objects, allowing the user to transfer data from one object to the other. It allows, for example, to transfer data from the curriculum of a given researcher to others to whom they share academic activities or to transfer data from publishing houses, enforcing a more correct and consistent description of the reconciled data.