eSociety Institute of The Hague University of Applied SciencesMartijn Hartog – coordinating researcher

Bert Mulder – professor Information, Technology and Society

The creation of a standardized citizen health vocabularyA Linked Open Data and Semantic Web example

government of the future

research and development programmesProvince 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

research and development

exploration and inventory current initiativesanalyses of terminology

Linked Open Data definitionsSemantic Web connections

conceptual study Dutch Citizen Health VocabularyeSociety Institute

The Hague University of Applied SciencesNational competence Centre for standardization and eHealth (Nictiz)

Dutch Patients and Consumer Federation (NPCF)Muncipality of The Hague

context

compact governmentparticipatory society

complex dataaccesssable, understandable and transparent

Semantic Webweb 1.0 – presenting information

web 2.0 – connecting peopleweb 3.0 – connecting knowledge

Big Data and analyticsvolumevelocityvariety

Internet of Thingssensoring, collecting and exchanging data

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

the need for a citizen vocabulary

understandable language for citizens and governmentbetter communication

better understanding on governmental activities

better search results connecting terminology

integration in search engineclarity

improving participationtrustworthy informationclear and timelyaccessable information

citizen / consumer vocabularies

Open Access Collaborative Consumer Health VocabularyUniversity of UtahBrigham and Women’s HospitalHarvard Medical SchoolNational Library of MedicineUniversity of Wisconsin

Maya Consumer Health VocabularyMaya Clinic Global Products and Services

Italian Consumer Medical VocabularyUniversity 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 rows51.134 unique concepts

1 citizen term per concept

2126 core termsillnesses, first aid, symptoms and test

procedures not public

2348 termssemantic web technologies

challenges LOD and Semantic Web | citizen vocabulary

main challengesquality – people speak their own languagecomplexity – diversity requires integration

scale – societal networks requires effective solutions

defining and documentingrecording and standardizing citizen terminology

connecting terminology with systems-worldreferring to extra information or explanations

adding qualitiesbetter disclosure and optimizing search results

realizing automatic processing by machines

future research

further development of a Dutch Citizen Health Vocabularyontology - connecting standardized terminology

determing categories, classess, subclasses […], instances, individualscreating machine-readable and interchangeable concepts

exploring a sustainable process

parallel routesresearch and development on Public Administration Vocabulary

research and development on Land Registry and National administrations

eSociety Institute of The Hague University of Applied SciencesMartijn Hartog – coordinating researcher – m.w.hartog@hhs.nl | @martijnhartog

Bert Mulder – professor Information, Technology and Society

The creation of a standardized citizen health vocabularyA Linked Open Data and Semantic Web example