Weber, Eilbracht, Kesberg @ TMRA 2010
1
Sixth International Conference on Topic Maps Research and Applications – TMRA 2010...
Weber, Eilbracht, Kesberg @ TMRA 2010
Unternehmen
2Problem statement
Physical access ubiquitous web access to data in rela...
Weber, Eilbracht, Kesberg @ TMRA 2010
Unternehmen
3Suggested solution Unternehmen
Subject-centrism offer subjects networke...
Weber, Eilbracht, Kesberg @ TMRA 2010
4Anwendungsbeispiel
What is it? a national compilation of
several thousand agricultu...
Weber, Eilbracht, Kesberg @ TMRA 2010
5Anwendungsbeispiel
Source:Bundessortenamt
Bundessortenamt – web app showing data on...
Weber, Eilbracht, Kesberg @ TMRA 2010
6Anwendungsbeispiel
Cultivars variety distribution over a particular kind of propert...
Weber, Eilbracht, Kesberg @ TMRA 2010
7Topic maps creation Anwendungsbeispiel
Data source relational database updated annu...
Weber, Eilbracht, Kesberg @ TMRA 2010
8Variety lists as topic map based web app Anwendungsbeispiel
Topic Maps
package
topi...
Weber, Eilbracht, Kesberg @ TMRA 2010
9Subject-centric information on wheat cultivars Markt
wheat
topic:
year of
admission...
Weber, Eilbracht, Kesberg @ TMRA 2010
10Markt
text filter: kws
breeder KWS
offers 12 wheat
cultivars
What are the wheat cu...
Weber, Eilbracht, Kesberg @ TMRA 2010
11Markt
text filter: kws
mildew susceptibility
sorted in ascending
order
What is the...
Weber, Eilbracht, Kesberg @ TMRA 2010
12Markt
mildew
susceptibility
Wheat cultivar distribution over mildew susceptibility...
Weber, Eilbracht, Kesberg @ TMRA 2010
13MarktHierarchical knowledge model – drill-up
drill-up a knowledge model:
from a pa...
Weber, Eilbracht, Kesberg @ TMRA 2010
14Markt
susceptibility for wheat diseases
Wheat diseases
80 „records“ on
wheat disea...
Weber, Eilbracht, Kesberg @ TMRA 2010
15MarktHierarchical knowledge model – drill-down
drill-down to a
particular wheat
di...
Weber, Eilbracht, Kesberg @ TMRA 2010
16Markt
winter wheat cultivars
grid view of all winter
wheat cultivars
PivotViewer a...
Weber, Eilbracht, Kesberg @ TMRA 2010
17Markt
cultivars grouped
by yield rating
PivotViewer – wheat grouped by yield
culti...
Weber, Eilbracht, Kesberg @ TMRA 2010
18Markt
winter wheat cultivars
PivotViewer – wheat grouped by yield and filtered by ...
Weber, Eilbracht, Kesberg @ TMRA 2010
19Markt
winter wheat cultivars
winter wheat cultivars
grouped by yield rating
PivotV...
Weber, Eilbracht, Kesberg @ TMRA 2010
20Markt
cultivar
properties
PivotViewer – wheat cultivar Batis
switch to
topic view
Weber, Eilbracht, Kesberg @ TMRA 2010
Topic view of the wheat variety Batis 21Markt
cultivar
properties
hierarchical
knowl...
Weber, Eilbracht, Kesberg @ TMRA 2010
rel DB TM app
number of pages 3.000 20.000
internal links < 9.000 > 1.000.000
overvi...
Weber, Eilbracht, Kesberg @ TMRA 2010
Topic Maps-based web app* on top of
a relational data store
of the German variety li...
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Topic Maps for improved access to and use of content in relational databases - a case study on the descriptive variety lists of Germany's Bundessortenamt

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This paper presents a use case for Germany's Bundessortenamt.

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Topic Maps for improved access to and use of content in relational databases - a case study on the descriptive variety lists of Germany's Bundessortenamt

  1. 1. Weber, Eilbracht, Kesberg @ TMRA 2010 1 Sixth International Conference on Topic Maps Research and Applications – TMRA 2010 Leipzig, 29 September – 1 October 2010 Gerhard E. Weber, Ralf Eilbracht, Stefan Kesberg Nexxor GmbH, Stuttgart, Germany, www.nexxor.de Topic Maps for improved access to and use of content in relational databases – a case study on the descriptive variety lists of Germany's Bundessortenamt
  2. 2. Weber, Eilbracht, Kesberg @ TMRA 2010 Unternehmen 2Problem statement Physical access ubiquitous web access to data in relational databases Unternehmen Few perspectives only low number of views provided available views limit the number of answerable questions Data-centrism frontends reflect data-centric information architecture = restricted usability of content +
  3. 3. Weber, Eilbracht, Kesberg @ TMRA 2010 Unternehmen 3Suggested solution Unternehmen Subject-centrism offer subjects networked by knowledge models instead of data organized by relational data models Many perspectives render relational views automatically from the underlying graph not only from queries preformulated for anticipated questions Many access paths offer many access paths to users‘ target views rather than a few hierarchical navigation structures Topic Maps-driven as access layers „on top“ of relational data stores frontends increased usability + + + =
  4. 4. Weber, Eilbracht, Kesberg @ TMRA 2010 4Anwendungsbeispiel What is it? a national compilation of several thousand agricultural plant cultivars („products“), their properties such as yield, quality, processing, resistance, etc., and their breeders („producers“) German federal authority: BundessortenamtWho creates it? URL www.bundessortenamt.de farmers, growers, co-operatives, advisors, processing industryWho uses it? repeated, randomized multi-year and multi-site growth trialsBasis of property assessments? Use case: variety lists of Germany‘s Bundessortenamt
  5. 5. Weber, Eilbracht, Kesberg @ TMRA 2010 5Anwendungsbeispiel Source:Bundessortenamt Bundessortenamt – web app showing data on wheat cultivars www.bundessortenamt.de
  6. 6. Weber, Eilbracht, Kesberg @ TMRA 2010 6Anwendungsbeispiel Cultivars variety distribution over a particular kind of property in an assortment? distribution of barley varieties over susceptibility to mildew? position of a particular variety in the assortments distribution? barley variety “Emily” susceptibility to mildew? assortments of activity of a particular breeder? what are the assortments of breeder KWS Lochow? breeders dominating in a particular assortment - to what extent? dominating breeders winter wheat? the two most important breeders? Breeders Some questions not answerable with the authorities web app
  7. 7. Weber, Eilbracht, Kesberg @ TMRA 2010 7Topic maps creation Anwendungsbeispiel Data source relational database updated annually no direct access to source downloaded ASCII- and html-files from authorities website Ontology creation ontology design based on in-house expertise in application domain Data preprocessing address fields preprocessed for entity recognition of locations, and breeders for type recognition such as person, company, organisation all source data transformed into topic maps all maps merged Transformation Knowledge models assortment specialization, property specialization, geographic containments
  8. 8. Weber, Eilbracht, Kesberg @ TMRA 2010 8Variety lists as topic map based web app Anwendungsbeispiel Topic Maps package topicWorks with Topic Maps engine, configurable frontend, template system, integrated PivotViewer URL www.topicmapsforge.org/topicmaps/sorten individuals by default rendered in „topic view“ topic view collocates names, associations, and occurrences types by default rendered in „table view“ table view lists instances and statements about them customization for topics of particular interest (templates, tolog) Visualization patterns
  9. 9. Weber, Eilbracht, Kesberg @ TMRA 2010 9Subject-centric information on wheat cultivars Markt wheat topic: year of admission topic: susceptibility to mildew topic: year of admission 2004 topic: the breeder KWS Lochow topic: breeder topic: mildew susceptibility rating 5
  10. 10. Weber, Eilbracht, Kesberg @ TMRA 2010 10Markt text filter: kws breeder KWS offers 12 wheat cultivars What are the wheat cultivars offered by KWS?
  11. 11. Weber, Eilbracht, Kesberg @ TMRA 2010 11Markt text filter: kws mildew susceptibility sorted in ascending order What is the KWS wheat cultivar least susceptible to mildew? the wanted cultivar topic: susceptibility to mildew
  12. 12. Weber, Eilbracht, Kesberg @ TMRA 2010 12Markt mildew susceptibility Wheat cultivar distribution over mildew susceptibility Relational view automatically rendered from underlying topic map. No preconfigured query required. No view configuration required. hierarchy browser how to judge midlew susceptibility of „Tommi“?
  13. 13. Weber, Eilbracht, Kesberg @ TMRA 2010 13MarktHierarchical knowledge model – drill-up drill-up a knowledge model: from a particular property (wheat disease) to more generic properties (all relevant wheat diseases)
  14. 14. Weber, Eilbracht, Kesberg @ TMRA 2010 14Markt susceptibility for wheat diseases Wheat diseases 80 „records“ on wheat diseases available Relational view automatically rendered from underlying topic map. No preconfigured query required. No view configurarion required.
  15. 15. Weber, Eilbracht, Kesberg @ TMRA 2010 15MarktHierarchical knowledge model – drill-down drill-down to a particular wheat disease
  16. 16. Weber, Eilbracht, Kesberg @ TMRA 2010 16Markt winter wheat cultivars grid view of all winter wheat cultivars PivotViewer as graphical visualization tool – wheat cultivars properties of the winter wheat cultivars available for faceted filtering cultivar distribution over susceptibility rating for mildew
  17. 17. Weber, Eilbracht, Kesberg @ TMRA 2010 17Markt cultivars grouped by yield rating PivotViewer – wheat grouped by yield cultivar distribution over year of admission
  18. 18. Weber, Eilbracht, Kesberg @ TMRA 2010 18Markt winter wheat cultivars PivotViewer – wheat grouped by yield and filtered by year cultivar distribution over year of admission filtered for year of of admission < 2001
  19. 19. Weber, Eilbracht, Kesberg @ TMRA 2010 19Markt winter wheat cultivars winter wheat cultivars grouped by yield rating PivotViewer – zoom-in cultivar distribution over year of admission zoom-in to a particular cultivar…
  20. 20. Weber, Eilbracht, Kesberg @ TMRA 2010 20Markt cultivar properties PivotViewer – wheat cultivar Batis switch to topic view
  21. 21. Weber, Eilbracht, Kesberg @ TMRA 2010 Topic view of the wheat variety Batis 21Markt cultivar properties hierarchical knowledge model properties seed production areas
  22. 22. Weber, Eilbracht, Kesberg @ TMRA 2010 rel DB TM app number of pages 3.000 20.000 internal links < 9.000 > 1.000.000 overviews 80 5000 22 relational DB Topic Maps app few hierarchical access paths low number of overviews many relevant questions not answerable many access paths large number of networked overviews many more relevant questions answerable 22Anwendungsbeispiel knowledge models on assortments, properties, locations Variety lists in two different web apps
  23. 23. Weber, Eilbracht, Kesberg @ TMRA 2010 Topic Maps-based web app* on top of a relational data store of the German variety lists (seed properties of agricultural species). 23ZusammenfassungSummary and conclusion Use case Conclusion Topic Maps-based web frontends on top of relational resources improve content usability by subject-centric information delivery. * www.topicmapsforge.org/topicmaps/sorten

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