OpenKnowledge Deliverable 3.1.: Dynamic Ontology Matching: a Survey
Pavel Shvaiko, Fausto Giunchiglia, Marco Schorlemmer, Fiona McNeill, Alan Bundy, Maurizio Marchese, Mikalai Yatskevich, Ilya Zaihrayeu, Bo Ho, Vanessa López, Marta Sabou, Joaqu' in Abian, Ronald Siebes, Spyros Kotoulas · Unitn Eprints Research (Università Degli Studi di Trento) · 2006
Abstract. Matching has been recognized as a plausible solution for the semantic heterogeneity problem in many traditional applications, such as schema integration, ontology integration, data warehouses, data integration, and so on. Recently, there have emerged a line of new applications characterized by their dynamics, such as peer-to-peer systems, agents, web-services. In this deliverable we extend the notion of ontology matching, as it has been understood in traditional applications, to dynamic ontology matching. In particular, we examine real-world scenarios and collect the requirements they pose towards a plausible solution. We consider five general matching directions which we believe can appropriately address those requirements. These are: (i) approximate and partial ontology matching, (ii) interactive ontology matching, (iii) continuous ”design-time ” ontology matching, (iv) community-driven ontology matching and