This paper surveys existing ontology mapping techniques towards data interoperability. Existing matcher algorithms and strategies are discussed generally and the research gaps are highlighted. The study concludes that semantic mapping has the biggest share of unresolved problems. Bridging the gap in semantic mapping may help improving mapping of ostensibly different domain knowledge and disparate data sources. © 2014 Springer-Verlag Berlin Heidelberg.