Collective Alignment of Large-scale Ontologies

The rapid growth in digitization of data has led to creation of fragmented but vital knowledge sources. Ontologies are one such crucial source of knowledge and aligning them is a key challenge for creating an Open Knowledge Network. The task of ontology alignment has received significant attention. In this abstract, we building on existing work, and propose a novel probabilistic ontology alignment approach that combines several similarity measures with structural information such as subsumption and mutual exclusion.