Normalization of Digital Mathematics Library Content

Paper discusses the needs for data normalization in a Digital Mathematics Library (DML). Specifically, emphasis is given to canonicalizing formulae encoded in Presentation MathML notation which starts to be available in several DMLs and is used by DML applications. This is a prerequisite for advanced processing – namely math enabled fulltext searching or semantic filtering and automated classification. Different sources of MathML and their specifics are described. Several use cases of possible formulae canonicalization transformations are listed and discussed in detail. Findings are finally concluded and a design of a to-be-developed canonicalization tool is outlined.