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NLP-SIR: A Natural Language Approach for Spreadsheet Information Retrieval

Flood, Derek and McDaid, Kevin and Mc Caffery, Fergal (2001) NLP-SIR: A Natural Language Approach for Spreadsheet Information Retrieval. In: The European Spreadsheet Risk Interest Group Annual Conference, 2009, Paris.

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Abstract

Spreadsheets are a ubiquitous software tool, used for a wide variety of tasks such as financial modelling, statistical analysis and inventory management. Extracting meaningful information from such data can be a difficult task, especially for novice users unfamiliar with the advanced data processing features of many spreadsheet applications. We believe that through the use of Natural Language Processing (NLP) techniques this task can be made considerably easier. This paper introduces NLP-SIR, a Natural language interface for spreadsheet information retrieval. The results of a recent evaluation which compared NLP-SIR with existing Information retrieval tools are also outlined. This evaluation has shown that NLP-SIR is a more effective method of spreadsheet information retrieval.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Spreadsheets; information retrieval
Subjects: Computer Science
Research Centres: Regulated Software Research Centre
Depositing User: Sonya Grimley
Date Deposited: 09 Feb 2012 12:37
Last Modified: 11 Nov 2014 16:10
URI: http://eprints.dkit.ie/id/eprint/112

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