Schema Evolution publication categorizer

(Semi-)automatic mapping — also called (semi-)automatic alignment
— of ontologies is a core task to achieve interoperability when two agents or
services use different ontologies. In the existing literature, the focus has so far
been on improving the quality of mapping results. We here consider QOM, Quick
Ontology Mapping, as a way to trade off between effectiveness (i.e. quality)
and efficiency of the mapping generation algorithms. We show that QOM has
lower run-time complexity than existing prominent approaches. Then, we show
in experiments that this theoretical investigation translates into practical benefits.
While QOM gives up some of the possibilities for producing high-quality results
in favor of efficiency, our experiments show that this loss of quality is marginal.