Fria: Fast and Robust Instance Alignment

Provided by: Association for Computing Machinery
Topic: Data Management
Format: PDF
In this paper the authors propose Fria, a fast and robust instance alignment framework across two independently built Knowledge Bases (KBs). Their objective is two-fold: to design an effective instance similarity measure and to build a fast and robust alignment framework. Specifically, Fria consists of two-phases. Fria first achieves high-precision alignment for seed matches which have strong evidence for aligning. To obtain high-recall alignment, Fria then divides non-matched instances according to the types identified from seeds, and gives additional chances to the same-typed instances to be matched.

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