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Only two versions (LogMap and LogMap-C) of them have participated at instance matching track. The LogMap-family system is a highly scalable ontology matching system with built-in reasoning and inconsistency repair capabilities. The two versions of LogMap systems identifies mappings between instances. The LogMap and LogMap-C systems finish only the first sub-track of instance matching of OAEI, The LogMap family participated with four different versions namely LogMap, 2014. ,
is an acronym of Risk Minimization based Ontology Mapping Instance Matching. The principle of RiMOM-IM is to construct a document from the dataset by extracting the instances information. Then, it uses cosine-similarity to compare documents. The version of RiMOM-IM system that participated in OAEI 2014 for instance matching is developed based on ontology matching system RiMOM with some changes in objective, The objective of RiMoM-IM is to solve the challenges in large-scale instance matching by proposing a novel blocking method ,
, Linguistic) level. InsMT(L) has participated for the first time in OAEI 2014. The principle of InsMT(L) is to use String-based algorithms (and WordNet as matcher at linguistic level) in order to calculate similarities between instances after the annotation step. The similarities calculated by each matcher are aggregated using the average aggregation strategy after a local filtering. Finally InsMT(L) system operates a global filtering in order to identify the alignment. The InsMT(L) system shows good results in terms of recall on different sub-tracks of instance matching of OAEI 2014. The InsMT(L) system finishes all sub-tracks of instance matching of OAEI, 2014.
, Other Approaches: There are several other instance matching approaches like HMatch, vol.18
, These instance matching approaches have not participated in instance matching track of OAEI 2014. With respect to these approaches, we did not take them in consideration because we do not have their official results for the experimental protocol of OAEI in 2014. As we have mentioned before, with the high number of publications about interlinking approaches only a few systems have participated at OAEI 2014. These systems are LogMap
, STRIM: STRing based algorithm for Instance Matching We summarize the process of our approach to provide a general idea of the proposed solution
, Extraction and Normalization The system extracts from each individual Ii P 1 m 1
Then, NLP techniques are applied to normalize these infrmation ,
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, Acknowledgements:This work was supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) with references UID/CEC/50021/2013 and UID/CEC/00408/2013. MOSEW: A Tool Suite for
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