Anchor-flood: results for OAEI 2009

TLDR

The study introduces a semantically reformed dynamic block of concepts starting from an anchor to generate two blocks for ontology alignment. The algorithm seeds an anchor pair, collects neighboring concept blocks, aligns them, iteratively repeats with new pairs, and now uses a dynamic block with improved memory management. Experiments show the method’s effectiveness on benchmark anatomy tracks and other datasets, and its extension to IIMB instance matching also yields effective results.

Abstract

Our ontology schema matching algorithm takes the essence of the locality of reference by considering the neighboring concepts and relations to align the entities of ontologies. It starts off a seed point called an anchor (a pair of look-alike concepts across ontologies) and collects two blocks of neighboring concepts across ontologies. The concepts of the pair of blocks are aligned and the process is repeated for newly found aligned pairs. This year, we use a semantically reformed dynamic block of concepts starting from an anchor-concept and produce two blocks from one anchor to get alignment. We improve our memory management. The experimental results show its effectiveness against the benchmark, anatomy track and other datasets. We also extend our algorithm to match instances of IIMB benchmarks and we obtained effective results.