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» Using transformations to improve semantic matching
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DCC
2001
IEEE
15 years 11 months ago
LIPT: A Reversible Lossless Text Transform to Improve Compression Performance
Lossless compression researchers have developed highly sophisticated approaches, such as Huffman encoding, arithmetic encoding, the Lempel-Ziv family, Dynamic Markov Compression (D...
Fauzia S. Awan, Nan Zhang 0005, Nitin Motgi, Raja ...
94
Voted
CVPR
2004
IEEE
15 years 3 months ago
Visual Object Categorization Using Distance-Based Discriminant Analysis
This paper formulates the problem of object categorization in the discriminant analysis framework focusing on transforming visual feature data so as to make it conform to the comp...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...
ECAI
2006
Springer
15 years 3 months ago
Discovering Missing Background Knowledge in Ontology Matching
Semantic matching determines the mappings between the nodes of two graphs (e.g., ontologies) by computing logical relations (e.g., subsumption) holding among the nodes that corresp...
Fausto Giunchiglia, Pavel Shvaiko, Mikalai Yatskev...
DSS
2006
116views more  DSS 2006»
14 years 11 months ago
Matching knowledge elements in concept maps using a similarity flooding algorithm
Concept mapping systems used in education and knowledge management emphasize flexibility of representation to enhance learning and facilitate knowledge capture. Collections of con...
Byron Marshall, Hsinchun Chen, Therani Madhusudan
112
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BTW
2007
Springer
212views Database» more  BTW 2007»
15 years 5 months ago
Instance Matching with COMA++
: Schema matching is the process of identifying semantic correspondences between schemas. COMA++ is a matching prototype which uses several characteristics of schemas to determine ...
Daniel Engmann, Sabine Maßmann