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Austrian Experience in Building Data Value Chain
General Principles, Role and Policy of the State
Anna Fensel and Dieter Fensel, University of Innsbruck
Moscow, Russia, 15 July 2013
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Contents
• Open government data developments in Austria
• State of the art: data economy and Linked Data as an integration platform
• Combining Open Data and Services – Tourist Map Austria
• Conclusions
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Austrian BIG Open Data developments
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Data.gv.at
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Data.gv.at (Vienna)
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Open Data Vienna Challenge Contest
50 apps with OGD Vienna - now nearly 80! (March 2013)https://www.newschallenge.org/open/open-government/submission/open-government-city-of-vienna/
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Why a Data Economy?
• New businesses can be built on the back of these data: Data are an essential raw material for a wide range of new information products and services which build on new possibilities to analyse and visualise data from different sources. Facilitating re-use of these raw data will create jobs and thus stimulate growth.
• More Transparency: Open data is a powerful tool to increase the transparency of public administration, improving the visibility of previously inaccessible information, informing citizens and business about policies, public spending and outcomes.
• Evidence-based policy making and administrative efficiency: The availability of solid EU-wide public data will lead to better evidence-based policy making at all levels of government, resulting in better public services and more efficient public spending.
See: http://europa.eu/rapid/pressReleasesAction.do?reference=MEMO11/891&format=HTML&aged=0&language=EN&guiLanguage=en
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Linked Open Data – silver bullet for data integration
• Linked Open Data can be seen as a global data integration platform– Heterogeneous data items from different data sets are linked to each other
following the Linked Data principles – Widely deployed vocabularies (e.g. FOAF) provide the predicates to specify links
between data items
• Data integration with LOD requires:1. Access to Linked Data
• HTTP, SPARQL endpoints, RDF dumps• Crawling and caching
2. Normalize vocabularies – data sets that overlap in content use different vocabularies
• Use schema mapping techniques based on rules (e.g. RIF, SWRL) or query languages (e.g. SPARQL Construct, etc.)
3. Resolve identifies – data sets that overlap in content use different URIs for the same real world entities
• Use manual merging or approaches such as SILK (part of Linked Data Integration Framework) or LIMES
4. Filter data• Use SIVE ((part of Linked Data Integration Framework)
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See: http://www4.wiwiss.fu-berlin.de/bizer/ldif/
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Combining Open Data and Services – Tourist Map Austria
• Use LOD to integrate and lookup data about
– places and routes– time-tables for public transport– hiking trails– ski slopes– points-of-interest
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Combining Open Data and Services – Tourist Map Austria
LOD data sets
• Open Streetmap• Google Places • Databases of government
– TIRIS– DVT
• Tourism & Ticketing association • IVB (busses and trams) • OEBB (trains) • Ärztekammer• Supermarket chains: listing of products • Hofer and similar: weekly offers • ASFINAG: Traffic/Congestion data • Herold (yellow pages)• City archive • Museums/Zoo • News sources like TT (Tyrol's major daily
newspaper) • Statistik Austria
• Innsbruck Airport (travel times, airline schedules)
• ZAMG (Weather) • University of Innsbruck (Curricula,
student statistics, study possibilities) • IKB (electricity, water consumption) • Entertainment facilities (Stadtcafe,
Cinema...) • Special offers (Groupon)
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Combining Open Data and Services – Tourist Map Austria
• Data and services from destination sites integrated for recommendation and booking of
– Hotels– Restaurants– Cultural and entertainment events– Sightseeing– Shops
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• Web scraping integration• Create wrappers for current web sites and extract data
automatically• Many Web scraping tools available on the market
Combining Open Data and Services – Tourist Map Austria
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Combining Open Data and Services – Tourist Map Austria
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• Based on Open Street Map
(as e.g. implemented by
a Tyrolean region Zillertal)• Increase on-line
visibility for hotels and
destinations via
multi-channel
communication – SCEI• Hotels,
ski passes, etc. are
directly bookable –
seekda engine• LOD to integrate and
lookup data about hiking
trails, ski slopes, etc.• On the fly service
integration as you pay
LODSCEI
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Zillertal region in Tyrol: a real-life example of user-generated Open Data and its usage
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What can the big learn from the small?
BIG is a relative notion
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Something BIGGER for Open Data Visibility in and Outside of Russia?Open Olympics Sochi 2014
Source: rian.ru
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Open Olympics 2014
• High national and international visibility of the Open Data initiative
• Promotes Russia as an innovative IT location
• Open Data can be used to enrich on-line presence of touristic destination and can so mature the achieved progress
• General: Allow others to build services on top of the government data you have anyway
Thank you for your attention