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Literary and Linguistic Computing Advance Access originally published online on September 15, 2006
Literary and Linguistic Computing 2006 21(4):437-444; doi:10.1093/llc/fql037
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© The Author 2006. Published by Oxford University Press on behalf of ALLC and ACH. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Database Design and Technical Solutions for the Management, Calculation, and Visualization of Dialect Mass Data

Edgar Haimerl

Salzburg University, Dialectometry Project

Correspondence: Edgar Haimerl, Galgenbergstr.15, 89134 Blaustein, Germany. E-mail: edgar.haimerl{at}hedco.de
Within the scope of the dialectometry project at Salzburg University, a windows application was developed that implements algorithms to support the dialectometric evaluation of altas data. Visual DialectoMetry (VDM) covers all the steps of the dialectometric evaluation procedure: management of preclassified atlas data, calculation of matrices, visualizations using different types of maps, and cluster analysis. This article assumes basic knowledge of VDMs features, but differs from the linguistic interpretations given in Goebl's article by concentrating on the application technology. VDM is written in C++ and uses the Microsoft Foundation Classes (MFC), a library that wraps the Windows application programming interface (API) and the JET library in C++ classes. It holds the data for every project in one MS ACCESS database file which is accessible via MFC. Users can choose from different projects—different linguistic atlases—or they may evaluate their own data with VDM after having converted and imported their data into the VDM database format. This article outlines the design of the VDM database as far as the storage of the data matrix is concerned. It discusses possibilities of performance optimization by distinguishing calculations that can be done in real time from calculations that have to be performed off-line (ahead of time). Despite the large number of geographical information systems (GIS) on the market the generation of thematic maps in real time is not a trivial task. The technical solution implemented in VDM generates maps from two layers: a Windows Meta File (WMF) and a view of polygon objects whose color is recalculated as response to user actions.


1 The Microsoft Jet Engine (Microsoft Joint Engine Technology Engine) was introduced in 1992 as relational database engine for the Windows operating system and can be used and distributed without license fees. A deep going presentation of the MFC architecture and programming details is in Shephard and Wingo (1996).

2 For a compact guide to database normalization, see Kent (1983).

3 See Goebl (1984, pp. 209–212).

4 See Mucha and Haimerl (2005).

5 For different storage modes and their implementation see ‘Sun Performance Library User's Guide, Chapter 4: Working with matrices’. Retrieved 11 January 2006 from http://docs.sun.com/source/8063566/plug_matrices.html#7940. VDM's lower packed storage mode differs for historical reasons from the Sun proposal by storing the values by columns instead of by rows.

6 For a quick overview of GIS, see the article in Wikipedia: http://en.wikipedia.org/wiki/Gis, for detailed information, see Laurini and Thompson (1992).

7 See www.mapinfo.com (accessed 10 February 2006)

8 Okabe et al. (1992) describes the algorithm.

9 This product is a component in VerticalMapper; for details about Vertical Mapper see http://extranet.mapinfo.com/products/Overview.cfm?ProductID=1739&productcategoryid=1 (accessed 10 February. 2006).

10 See http://www.geotools.org/ (accessed 10 February. 2006).

11 See http://ald.sbg.ac.at/ALD/ald2 (accessed 10 February. 2006).


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H. Goebl
Recent Advances in Salzburg Dialectometry
Lit Linguist Computing, November 1, 2006; 21(4): 411 - 435.
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