David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Spreadsheets are mathematical documents that are heavily employed in administration, ﬁnancial forecasting, education, and science because of their intuitive, ﬂexible, and direct approach to computation. In this paper we show that spreadsheets are interesting applications for MKM techniques which can alleviate usability and maintenance problems as spreadsheet-based applications grow evermore complex and longlived. We present the software and information architecture of a semantic enhancement of MS Excel spreadsheets that aims at compensating the computational bias in spreadsheets.
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