Bringing LOD to SME – The case of the LinDA pilots business intelligence, environmental sector, media industry Presentation at LinDA Workshop on 2nd September 2014 at Semantics2014 by Salvatore Virtuoso

1. LinDA-project.eu
Bringing LOD to SME – The case of the LinDA pilots
business intelligence, environmental sector, media industry
Salvatore Virtuoso salvatore.virtuoso@piksel.com
Senior Project Manager - PIKSEL
LinDA workshop at
SEMANTICS 2014

2. +
Linda Pilots Role
Setup
• Define Scenarios
• Identify Public &
Private datasets
needed, Algorythms
• Define Consumption
metrics
Execution
• Dataset renovation
• Linked Datasets
• Consumption apps
Evaluation
• User Acceptance
• Workbench
assessment
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To evaluate the efficiency and the business potential
of the LinDA workbench in typical SME setups
Linda Pilot phases:
23/1/2015LinDa workshop @ SEMANTICS 2014, Leipzig
Sept
2014

3. +
The goals of LinDA pilots
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network of
business
intelligence
management
consultants
SME focussing on
the application of
ICT technologies
to environmental
sector issues
Regional
broadcaster, with
a mission of
reporting about
daily events,
political debate
and sports
Business
Intelligence
to demonstrate
innovative and
gainful intelligence-
based consulting to
customers and
strategy planning
through the LinDA
transformation and
analytic tools.
Environmental
Sector
To utilize the LinDA
solutions for the
efficient
management and
analysis of the
Italian Regions
Environmental data
MediaIndustry
to demonstrate the
potential of the
LinDA workbench to
provide advanced
tools for
investigative
journalism

4. +
Business Intelligence Pilot
 Two scenarios identified:
 Scenario 1 - Identifying actions for the
communication strategy of a client,
operating in the pharma sector
 Scenario 2 - Press monitoring reports
and consultation services for a telecom
client
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5. +
Scenario 1 - Pharmaceutical Sector
Issues to be examined:
 the OTC liberalisation and how it has affected the:
 government [e.g. gov incomes from OTC & drugs, taxes]
 industry [e.g. revenues & investments, sales of OTC drugs]
 population [e.g. OTC sales, behaviour]
 the trends of the OTC prices, compared to the economical status
 the trends in the healthcare expenditures
Note: the pilot will be conducted towards the Greek market
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Aim: to assess the positioning of Pharma clients against the issue of
drugs prices liberalisation, mainly for OTC Medicines

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Existing Datasets
Examples of existing public datasets that the pilot intends to use / interlink
 European Core Health Indicators (ECHI)
 All EU countries 2003-2011, csv format
 Demographics and Socioeconomic indicators (e.g. population by education, population below poverty
line)
 Healthcare expenditure (e.g. percentage of GDP, percentage of population covered by health
insurance)
 Self-reported use of non-prescribed medicines by sex, age and educational attainment level
 World Bank Datasets
 All countries, 1994-2013, csv format
 Out-of-pocket health expenditure (% of private expenditure on health)
 Healthcare expenditure (e.g. percentage of GDP) – years 2000 and 2012
 OECD Datasets
 1980-2013
 Health expenditure and financing
 Social spending
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7. + Examples of private datasets to be created
 Association of the European Self-Medication Industry
 All EU countries
 2011-2013, online data
 Total pharmaceutical market
 Non-prescription medicines market
 Total self-medication market
 The Liberalization of the Retail Market of Non-Prescription Medicines
 Pdf file with data regarding liberalization of OTC per country
 OTC Distribution in Europe: Meeting the New Challenges - New Expanded
2014 Edition (*)
 The Rising Tide of OTC in Europe (*)
 Central and Eastern Europe OTC Drugs Industry Outlook to 2017 (*)
(*) Non-open dataset, available on a fee basis
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Scenario 2 – Telecom Sector
Issues to be examined:
 Sentiment analysis (e.g. Negative / Positive publicity) on news portals, blog posts, social
media, etc
 Networking & Electromagnetic fields (EMF) issues
 Other relevant: Regulatory, Financial, Marketing, Corporate Social Responsibility (CSR)
Business analysis:
 Indication and forecasting regarding the reactions upon an installation of a new
antenna
 Analysis reports based on comments from residents in specific areas – impact
on company’s revenues
 Analysis of source types with more negative comments
 Impact on health (based on location of antennas and health incidents, examine
existence of dependencies by including also areas without antennas)
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Aim: to identify and assess the operating environment, using press
monitoring procedures on specific telecoms parameters that might
concern and affect clients’ agenda

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TelecomPilot
 Record of antennas with
geolocation data in Greece
 Geolocation data from schools,
hospitals etc.
 Geodata.gov.gr
 Telecoms revenues, market
share, etc
 Monitoring of publications in
media relevant to population’s
comments on antennas
 List of media
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Existing dataset examples Private dataset to be created

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Environmental Management Pilot
 Specific case study: the area comprising the
municipalities of Acerra, Nola and Marigliano in
Campania, Italy.
 The region has recently experienced
increasing deaths caused by cancer and other
diseases that exceeds the Italian national
average.
 Objective: To analyse the impact on the health of
the residents based on the variance on specific
environmental parameters and pollution indicators
 Process: examination of the frequency and the type
of occurrence of diseases in specific geographical
areas within Italy with the environmental conditions
and indicators for pollution in the area
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Environmental Mgmt Scenario
 Generic datasets (ISTAT)
 Waste collection, noise, vehicle rate, air quality
 Population and Households: (Demographics, mortality, projections)
 Health statitics (health conditions, incidence, prevalence and mortality)
 Cancer registries
 Environmental datasets
 Waters, etc.
 International datasets
 pollution, emissions, wastes, policies per country
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Examples of dataset to be used:
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Media Industry Pilot
 Two scenarios identified:
 Scenario A – Adding data mashups and
analytics to the toolbox of investigative
journalists (and potentially, citizens-
reporters)
 Scenario B – Tapping into the
knowledge reservoir of Post Production
Scripts (media-rich and detailed
storyboards supporting programme
broadcasting)
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13. +
Scenario – Media Industry A
Topics of interest
 Advanced analysis over data from multiple sources,
 Interconnection of georeferenced information to other
parameters as well as international datasets,
 Preparation of infographics and creation of
higher‐end multimedia communication tools, and
 Integration of LINDA tools in the daily routine of
journalistic work – as well as the supporting
(standard) IT infrastructure
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Aim: to support investigative journalists engaged in evidence search,
collection and commenting/reporting.

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Scenario – Media Industry B
Topics of interest
 Migration of existing Post Production Scripts in rdf
format
 Advanced management of multimedia content items
(esp. music score and video clips)
 Collection of HTML & plain text from WWW and staff
authoring, and
 Integration of LINDA tools in the daily routine of
journalistic work – as well as the supporting
(standard) IT infrastructure
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Aim: to facilitate the retrieval of information stored in previously recorded
audio/video clips through mining of Post Production Scripts.

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Additional business cases
Examples of LINDA tools application to the investigative journalism scenario (#5)
of potential interest for SMEs
 International comparison of the quality of universities worldwide
 An orientation service for students wanting to move abroad
 Including location related aspects (logistics, job opportunities, individual grants etc.)
 Reconstruction of where aid money goes to
 Possible clients: public/private donors and international organisations (e.g. OECD,
World Bank)
 Sensitive issue but with huge political impact
 A Dbpedia of patents worldwide
 Integrating text and visual information
 Potentially extended to public domain solutions
 Documented interest by a local SME in the patent attorney business
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Conclusions
 Many linked data projects are promoted by technology enthusiasts (or deliberate
experimenters) keen to explore and use their own approach rather than carefully selecting
the best tool for the job.
 In other words, linked data projects have not, as yet, been based on business cases.
 The benefits of linked data are most often assumed or implied by the implementers; there
is little measurement of them.
 Many projects using linked data struggle to express their benefits (although it may be too
early for most of them).
 There are far more expressions of technical benefit (for example it is easier to work across
systems) than business benefit (say, better service quality), although one might lead to the
other.
 There is a lack of cost-benefit analysis for linked data projects and a lack of comparison
with other technical approaches.
From: http://repository.jisc.ac.uk/559/1/JISC_Linked_Data_Review_Oct2011.pdf
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