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Data Integration Ontology Mapping
1. Pradeep Pillai and Michael Kandefer Department of Computer Science and Engineering University at Buffalo Buffalo, NY, 14260 {pbpillai,mwk3}@cse.buffalo.edu Schema Matching and Ontology Mapping: A Comparison
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7. Element-based: String mappings - Prefix(3) - 3-Gram(2) - Edit distance(5) PurchaseOrder DeliverTo InvoiceTo Items Address Address Item Street City City Street ItemCount ItemNumber Quantity UnitOfMeasure PO POShipTo POBillTo POLines Item Street City City Street Count Line Qty UoM
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9. Element-based: Language mappings POBillTo InvoiceTo <PO,Bill,To> <Invoice,To> Tokenize: <PO,Bill> <Invoice> Elimination: Expansion: <Purchase,Order,Bill> <Invoice> <Purchase,Order,Bill> <Bill> Related form: PurchaseOrder DeliverTo InvoiceTo Items Address Address Item Street City City Street ItemCount ItemNumber Quantity UnitOfMeasure PO POShipTo POBillTo POLines Item Street City City Street Count Line Qty UoM
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25. Cupid Mappings - High lsim (A1) - High wsim (A2) - Matches PurchaseOrder DeliverTo InvoiceTo Items Address Address Item Street City City Street ItemCount ItemNumber Quantity UnitOfMeasure PO POShipTo POBillTo POLines Item Street City City Street Count Line Qty UoM