Paper presented at The Eleventh International Conference on Digital Society and eGovernments, ICDS 2017, March 19 - 23, 2017 Nice, France

1. eSociety Institute of The Hague University of Applied Sciences
Martijn Hartog – coordinating researcher
Bert Mulder – professor Information, Technology and Society
The creation of a standardized citizen health vocabulary
A Linked Open Data and Semantic Web example

2. government of the future
research and development programmes
Province of South-Holland
Quality Institute Dutch Municipalities (VNG/KING)
Municipality of The Hague
National Land Registry (Kadaster)
open and transparent government
structurally engaging and equipping a participatory society

3. research and development
exploration and inventory current initiatives
analyses of terminology
Linked Open Data definitions
Semantic Web connections
conceptual study Dutch Citizen Health Vocabulary
eSociety Institute
The Hague University of Applied Sciences
National competence Centre for standardization and eHealth (Nictiz)
Dutch Patients and Consumer Federation (NPCF)
Muncipality of The Hague

4. context
compact government
participatory society
complex data
accesssable, understandable and transparent
Semantic Web
web 1.0 – presenting information
web 2.0 – connecting people
web 3.0 – connecting knowledge
Big Data and analytics
volume
velocity
variety
Internet of Things
sensoring, collecting and exchanging data

5. digital government agenda 2020
digital service ambitions
open and transparent within a participatory society
working as one efficient government
digital on National level, customized locally

6. the need for a citizen vocabulary
understandable language for citizens and government
better communication
better understanding on governmental activities
better search results
connecting terminology
integration in search engine
clarity
improving participation
trustworthy information
clear and timely
accessable information

7. citizen / consumer vocabularies
Open Access Collaborative Consumer Health Vocabulary
University of Utah
Brigham and Women’s Hospital
Harvard Medical School
National Library of Medicine
University of Wisconsin
Maya Consumer Health Vocabulary
Maya Clinic Global Products and Services
Italian Consumer Medical Vocabulary
University of Trento
Short analysis current vocabularies:
direct translation of medical information, to many concepts (SNOWMED 311.000 terms), focus on
professional terminology, broad synonyms, non-public, lack of semantic web possibilites.
158.519 rows
51.134 unique concepts
1 citizen term per concept
2126 core terms
illnesses, first aid, symptoms and test
procedures
not public
2348 terms
semantic web technologies

8. challenges LOD and Semantic Web | citizen vocabulary
main challenges
quality – people speak their own language
complexity – diversity requires integration
scale – societal networks requires effective solutions
defining and documenting
recording and standardizing citizen terminology
connecting terminology with systems-world
referring to extra information or explanations
adding qualities
better disclosure and optimizing search results
realizing automatic processing by machines

9. future research
further development of a Dutch Citizen Health Vocabulary
ontology - connecting standardized terminology
determing categories, classess, subclasses […], instances, individuals
creating machine-readable and interchangeable concepts
exploring a sustainable process
parallel routes
research and development on Public Administration Vocabulary
research and development on Land Registry and National administrations

10. eSociety Institute of The Hague University of Applied Sciences
Martijn Hartog – coordinating researcher – m.w.hartog@hhs.nl | @martijnhartog
Bert Mulder – professor Information, Technology and Society
The creation of a standardized citizen health vocabulary
A Linked Open Data and Semantic Web example