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Book Chapter
Compensating the Computational Bias of Spreadsheets with MKM Techniques
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 5625/2009
Book
Intelligent Computer Mathematics
DOI
10.1007/978-3-642-02614-0
Copyright
2009
ISBN
978-3-642-02613-3
DOI
10.1007/978-3-642-02614-0_29
Pages
357-372
Subject Collection
Computer Science
SpringerLink Date
Monday, July 06, 2009
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Compensating the Computational Bias of Spreadsheets with MKM Techniques
Andrea Kohlhase
23
and Michael Kohlhase
23
(23)
German Center for Artificial Intelligence (DFKI), Bremen, Germany
Abstract
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 long-lived. We present the software and information architecture of a semantic enhancement of MS Excel spreadsheets that aims at compensating the computational bias in spreadsheets.
Andrea
Kohlhase
Email:
Andrea.Kohlhase@dfki.de
Michael
Kohlhase
Email:
Michael.Kohlhase@dfki.de
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