weber 2010 brn

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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 subject-centric publishing from document-centric content management systems a case study on a website of a regional cluster of companies

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Page 1: Weber 2010 brn

Weber, Eilbracht, Kesberg @ TMRA 2010

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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 subject-centric publishing from document-centric content management systems –a case study on a website of a regional cluster of companies

Page 2: Weber 2010 brn

Weber, Eilbracht, Kesberg @ TMRA 2010

Unternehmen

2Problem statement

document-centric CMS high costs of linking documentseditors need to know which documents to link

Unternehmen

many pages information relevant for a particular subject in many pages

few links related subjects in different documents as isolated textsuser has to read many pages to connect the dots

= restricted usability of content

+

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Weber, Eilbracht, Kesberg @ TMRA 2010

Unternehmen

3Suggested solution

subject centrism offer subjects networked by knowledge modelsinstead of isolated text fragments in documents

Unternehmen

many perspectives render views of subjects not just of documentsinclude relational views automatically generated from underlying graph

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 document-centric CMSfrontends

increased usability

+

+

+

=

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Weber, Eilbracht, Kesberg @ TMRA 2010

4Anwendungsbeispiel

What is it? website of a cluster of some 250 biotech and medtech companiesin metropolitan area of Stuttgart, and to its south

cluster management company funded by regional administrative unitsWho creates it?

URL www.bioregio-stern.de

cluster members, cluster managers, other interested parties looking for customers, partners, experts

Who uses it?

company profiles, project participations, news, eventsContent

Website of regional cluster of biotech companies

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Weber, Eilbracht, Kesberg @ TMRA 2010

5AnwendungsbeispielThe old document-centric web app…

navigation

company infos

menu bar

search fulltext

overview one alphanumerically sorted table with company names and focus descriptionsalphabetical paging

each company one page with data on focus, profile, address,management, contact, year founded, etc.without links to related information

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Weber, Eilbracht, Kesberg @ TMRA 2010

6Anwendungsbeispiel

Companies located in a particular city, county, or higher administrative unit?Members in Stuttgart, county Zollernalbkreis, district Tübingen?

Cities or other administrative units represented in the cluster, and by what companies?

Companies related to particular field of activity in a particular administrative unit?Diagnostics in county Zollernalbkreis?

Focus on a particular company: other companies headquartered in the same county?other companies with the same fields of activity?other participants of the same projects?

… did not enable users to see the connections

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Weber, Eilbracht, Kesberg @ TMRA 2010

7Topic Map creation Anwendungsbeispiel

Data source XML dump provided by webservice from CMSspreadsheet file describing fields of activities

Ontology creation minimal ontology designed with 18, 8, 17, and 14 types for topics, assocs, roles, occurrences, respectively

Knowledge models geographic containments of administrative units

Data preprocessing address fields preprocessed for entity recognition of locations

XML/spreadsheet data transformed to Topic Maps with mapping frameworkall maps merged

Transformation

monthlyUpdates

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Weber, Eilbracht, Kesberg @ TMRA 2010

8Anwendungsbeispiel

Topic Maps package

topicWorkswith Topic Maps engine, configurable frontend, template system

URL http://www.bioregio-stern.de/navigator/en

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

Company info of biotech cluster as Topic Maps based web app

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Weber, Eilbracht, Kesberg @ TMRA 2010

9Subject-centric information on cluster members Markt

topic:company

topic:year 1999

topic:Stuttgart

topic:diagnostics

relational view automatically rendered from underlying topic mapscollocates all instances of type „company“ – and its subtypes –and all statements about these instances

What is knownabout BioTeSys?

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Weber, Eilbracht, Kesberg @ TMRA 2010

10Markt

precious information onthe company –lots of reading, though

View of a particular cluster member – 1

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Weber, Eilbracht, Kesberg @ TMRA 2010

11MarktView of a particular cluster member – 2

associations anchor the companyin time, space, and fields of activity of the biotech cluster

topic:BioProfile

what is known about this subject ?

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12Markt

there are 15 participatingcluster members

What is known about BioProfile?

which members are – likeBioTeSys – active in diagnostics?

it is an R&D funding program

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Weber, Eilbracht, Kesberg @ TMRA 2010

13MarktOverview on a particular field of activity

What member info is available?

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Weber, Eilbracht, Kesberg @ TMRA 2010

14MarktOverview on a particular city

hierarchy browser

9 cluster membersheadquartered inEsslingen

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Weber, Eilbracht, Kesberg @ TMRA 2010

15MarktGeographic knowledge model – drill up

drill-up to county level

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Weber, Eilbracht, Kesberg @ TMRA 2010

16MarktOverview of a particular county

What are the clustermembers‘ fields ofactivity?

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Weber, Eilbracht, Kesberg @ TMRA 2010

mildew susceptibility

17MarktOverview of the fields of activity in the cluster

relational view rendered automatically

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Weber, Eilbracht, Kesberg @ TMRA 2010

18Markt

text filter reduces tofields of activity of a particular company, and identifies other relevant members

Overview of the fields of activity in the cluster + text filter

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Weber, Eilbracht, Kesberg @ TMRA 2010

19Markt

search for a particular county

Semantic search – displaying typed results, using inference

43 relevant topics found,and grouped by type

search evaluatesinference rule on geographic containmentfor retrieving allrelevant topics

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Weber, Eilbracht, Kesberg @ TMRA 2010

20MarktSemantic search – reducing results to type of interest

reduce results to the type of interest, here: medtech companies

10 medtech cluster memberslocated in the sought-after county

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Weber, Eilbracht, Kesberg @ TMRA 2010

CMS TM app

number of pages 240 500

internal links 240 6000

overviews 1 230

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documents in CMS topic map

companies in medical technology?medtech companies in Reutlingen?biotech companies in Landkreis Tübingen active in diagnostics?

retrieval efforts for finding answers

manually browsingover 200 web pages

1 click1 click + 1 filter1 search + 1 click

21Anwendungsbeispiel

geographicknowledge models,multiple fields ofactivity in spreadsheet

Document-centered CMS versus Topic Maps-based web app

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Weber, Eilbracht, Kesberg @ TMRA 2010

Topic Maps-based web app* on top of a document-centric CMSwith member information of a biotech cluster.

22ZusammenfassungSummary and conclusion

Use case

Conclusion Topic Maps-based web frontends on top of document-centric CMSimprove content usabilityby subject-centric information delivery.

* www.bioregio-stern.de/navigator/en