MeLinDa: an interlinking framework for the web of data
  The web of data consists of data published on the web in such a way that they can be interpreted and connected together. It is thus critical to establish links between these data, both for the web of data and for the semantic web that it contributes to feed. We consider here the various techniques developed for that purpose and analyze their commonalities and differences. We propose a general framework and show how the diverse techniques fit in the framework. From this framework we consider the relation between data interlinking and ontology matching. Although, they can be considered similar at a certain level (they both relate formal entities), they serve different purposes, but would find a mutual benefit at collaborating. We thus present a scheme under which it is possible for data linking tools to take advantage of ontology alignments. 
Fran\c{c}ois Scharffe (LIRMM), J\'er\^ome Euzenat (INRIA Grenoble   Rh\^one-Alpes / LIG Laboratoire d'Informatique de Grenoble)
cs.AI