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Class structures and lexical similarities of class names for ontology matching

DSpace at IIT Bombay

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Title Class structures and lexical similarities of class names for ontology matching
 
Creator SEN, S
SOMAVARAPU, S
SARDA, NL
 
Subject ontology
semantic mapping
lexical similarity
similarity propagation
heterogeneous databases
 
Description Semantic Interoperability is a major issue for National Spatial data Infrastructures (NSDIs) and mapping across heterogeneous databases is essential for such interoperability. Mapping of schemas based on ontology mapping provides opportunities for semantic translation of schemas elements and hence for database queries across heterogeneous sources. Such semantics based mappings are usually human centered processes. This paper demonstrates semi-automatic mapping using semantic similarity values from an electronic lexicon. Lexical similarity of class names and class structures constitute knowledge base for mapping between two schemas. We employ semantic mapping based on synonym similarity matches from WordNet. We use heuristics based propagation of similarities using attribute mapping and superclass-subclass relations. The machine based similarity values are seen to be comparable to human generated values of mapping.
 
Publisher SPRINGER-VERLAG BERLIN
 
Date 2011-10-23T21:50:22Z
2011-12-15T09:11:08Z
2011-10-23T21:50:22Z
2011-12-15T09:11:08Z
2007
 
Type Proceedings Paper
 
Identifier ONTOLOGIES-BASED DATABASES AND INFORMATION SYSTEMS,4623,18-36
978-3-540-75473-2
0302-9743
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15246
http://hdl.handle.net/100/1874
 
Source 2nd VLDB Workshop on Ontologies-Based Databases and Informational Systems,Seoul, SOUTH KOREA,SEP 11, 2006
 
Language English