Ontology Matching in Context-driven Collaborative Recommending Systems

Keyword(s):  
2017 ◽  
Vol 43 ◽  
pp. 1-17 ◽  
Author(s):  
Gábor Bella ◽  
Fausto Giunchiglia ◽  
Fiona McNeill
Keyword(s):  

Author(s):  
Naima El Ghandour ◽  
Moussa Benaissa ◽  
Yahia Lebbah

The Semantic Web uses ontologies to cope with the data heterogeneity problem. However, ontologies become themselves heterogeneous; this heterogeneity may occur at the syntactic, terminological, conceptual, and semantic levels. To solve this problem, alignments between entities of ontologies must be identified. This process is called ontology matching. In this paper, the authors propose a new method to extract alignment with multiple cardinalities using integer linear programming techniques. The authors conducted a series of experiments and compared them with currently used methods. The obtained results show the efficiency of the proposed method.


Sadhana ◽  
2017 ◽  
Vol 42 (12) ◽  
pp. 2009-2024 ◽  
Author(s):  
B Sathiya ◽  
T V Geetha ◽  
K Saruladha
Keyword(s):  

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