id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_upk45tn4afenfhldwybnpdskpy	Vahed Qazvinian	Evolutionary coincidence-based ontology mapping extraction	2008	11	.pdf	application/pdf	8420	735	71	this problem by introducing a (proper) mapping of entities in two ontologies from two (different) domains. In this paper we introduce a genetic based algorithm for the Mapping Extraction problem. • The Ontology Alignment weighting and similarity measures. where concepts of Oi are nodes of Gi, and the relations/properties of Oi are typed edges of the graph. should be six different categories which are graphically shown in the Figure 3 (In the following explanations we assume that G, G′ are graphs of two ontologies O, O′ to be aligned. According to the coincidence-based weighting, we define a Pair, as two concepts from one ontology, between which there is a relation (So there is an edge based weight function), and we select the 500 best individuals as parents of the next step. In this paper, we discussed our method for Mapping Extraction in an Ontology Alignment framework.	./cache/work_upk45tn4afenfhldwybnpdskpy.pdf	./txt/work_upk45tn4afenfhldwybnpdskpy.txt