In this work a coherent survey of problems connected with relational knowledge representation and methods for achieving relational knowledge representation were presented. Proposed approach was shown on three applications: economic case, biomedical case and benchmark dataset. All crucial definitions were formulated and three main methods for relation identification problem were shown. Moreover, for specific relational models and observations’ types different identification methods were presented. / Double Diploma Programme, polish supervisor: prof. Jerzy Świątek, Wrocław University of Technology
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-2563 |
Date | January 2009 |
Creators | Tomczak, Jakub |
Publisher | Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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