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This paper presents a use case for Germany's Bundessortenamt.
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Weber, Eilbracht, Kesberg @ TMRA 2010
1
Sixth International Conference on Topic Maps Research and Applications – TMRA 2010Leipzig, 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
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 providedavailable views limit the number of answerable questions
Data-centrism frontends reflect data-centric information architecture
= restricted usability of content
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Weber, Eilbracht, Kesberg @ TMRA 2010
Unternehmen
3Suggested solution Unternehmen
Subject-centrism offer subjects networked by knowledge modelsinstead of data organized by relational data models
Many perspectives render relational views automatically from the underlying graphnot only from queries preformulated for anticipated questions
Many access paths offer many access paths to users‘ target viewsrather than a few hierarchical navigation structures
Topic Maps-driven as access layers „on top“ of relational data storesfrontends
increased usability
+
+
+
=
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
Weber, Eilbracht, Kesberg @ TMRA 2010
5Anwendungsbeispiel
Sou
rce:
Bu
nd
esso
rten
amt
Bundessortenamt – web app showing data on wheat cultivars
ww
w.b
un
des
sort
enam
t.d
e
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
Weber, Eilbracht, Kesberg @ TMRA 2010
7Topic maps creation Anwendungsbeispiel
Data source relational database updated annuallyno direct access to sourcedownloaded 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 breedersfor type recognition such as person, company, organisation
all source data transformed into topic mapsall maps merged
Transformation
Knowledge models assortment specialization, property specialization, geographic containments
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)
Visualizationpatterns
Weber, Eilbracht, Kesberg @ TMRA 2010
9Subject-centric information on wheat cultivars Markt
wheat
topic:year ofadmission
topic:susceptibilityto mildew
topic:year of admission 2004
topic:the breederKWS Lochow
topic:breeder
topic: mildewsusceptibility rating 5
Weber, Eilbracht, Kesberg @ TMRA 2010
10Markt
text filter: kws
breeder KWSoffers 12 wheatcultivars
What are the wheat cultivars offered by KWS?
Weber, Eilbracht, Kesberg @ TMRA 2010
11Markt
text filter: kws
mildew susceptibilitysorted in ascendingorder
What is the KWS wheat cultivar least susceptible to mildew?
the wanted cultivar
topic:susceptibilityto mildew
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.
hierarchybrowser
how to judge midlew susceptibilityof „Tommi“?
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)
Weber, Eilbracht, Kesberg @ TMRA 2010
14Markt
susceptibility for wheat diseases
Wheat diseases
80 „records“ on wheat diseasesavailable
Relational view automaticallyrendered from underlying topic map.No preconfigured query required. No view configurarion required.
Weber, Eilbracht, Kesberg @ TMRA 2010
15MarktHierarchical knowledge model – drill-down
drill-down to aparticular wheatdisease
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 availablefor faceted filtering
cultivar distributionover susceptibilityrating for mildew
Weber, Eilbracht, Kesberg @ TMRA 2010
17Markt
cultivars groupedby yield rating
PivotViewer – wheat grouped by yield
cultivar distributionover year of admission
Weber, Eilbracht, Kesberg @ TMRA 2010
18Markt
winter wheat cultivars
PivotViewer – wheat grouped by yield and filtered by year
cultivar distributionover year of admission
filtered for year ofof admission < 2001
Weber, Eilbracht, Kesberg @ TMRA 2010
19Markt
winter wheat cultivars
winter wheat cultivarsgrouped by yield rating
PivotViewer – zoom-in
cultivar distributionover year of admission
zoom-in to a particularcultivar…
Weber, Eilbracht, Kesberg @ TMRA 2010
20Markt
cultivar properties
PivotViewer – wheat cultivar Batis
switch totopic view
Weber, Eilbracht, Kesberg @ TMRA 2010
Topic view of the wheat variety Batis 21Markt
cultivar properties
hierarchicalknowledge model
properties seed production areas
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 pathslow number of overviewsmany relevant questions not answerable
many access pathslarge number of networked overviewsmany more relevant questions answerable
22Anwendungsbeispiel
knowledge modelson assortments,properties,locations
Variety lists in two different web apps
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 resourcesimprove content usabilityby subject-centric information delivery.
* www.topicmapsforge.org/topicmaps/sorten