Ontology for Representing Human Needs

Soheil Human, Florian Fahrenbach, Florian Kragulj, Vadim Savenkov

Publication: Chapter in book/Conference proceedingContribution to conference proceedings


Need satisfaction plays a fundamental role in human well-being. Hence understanding citizens' needs is crucial for developing a successful social and economic policy. This notwithstanding, the concept of need has not yet found its place in information systems and online tools. Furthermore, assessing needs itself remains a labor-intensive, mostly offline activity, where only a limited support by computational tools is available. In this paper, we make the first step towards employing need management in the design of information systems supporting participation and participatory innovation by proposing OpeNeeD, a family of ontologies for representing human needs data. As a proof of concept, OpeNeeD has been used to represent, enrich and query the results of a needs assessment study in a local citizen community in one of the Vienna districts. The proposed ontology will facilitate such studies and enable the representation of citizens' needs as Linked Data, fostering its co-creation and incentivizing the use of Open Data and services based on it.
Original languageEnglish
Title of host publicationKnowledge Engineering and Semantic Web
Editors Przemysław Różewski, Christoph Lange
Place of PublicationSzczecin
Pages195 - 210
ISBN (Print)978-3-319-69547-1
Publication statusPublished - 2017

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