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Erschienen in:
Reducing the Degradation of Sentiment Analysis for Text Collections Spread over a Period of Time Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Ontology for Representing Human Needs

verfasst von : Soheil Human, Florian Fahrenbach, Florian Kragulj, Vadim Savenkov

Erschienen in: Knowledge Engineering and Semantic Web

Verlag: Springer International Publishing

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Abstract

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.

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Vorheriges Kapitel Employing Link Differentiation in Linked Data Semantic Distance
Nächstes Kapitel Knowledge Graph: Semantic Representation and Assessment of Innovation Ecosystems
Fußnoten
1
Due to differences in researchers’ epistemological positions, some researches prefer to use other terms instead of need assessment, such as creating and inferring explicit knowledge of needs (see e.g. [21]). In this paper, we try to use the term need assessment and other similar terms from a neutral perspective, without following or supporting a particular epistemological position.
 
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Metadaten
Titel
Ontology for Representing Human Needs
verfasst von
Soheil Human
Florian Fahrenbach
Florian Kragulj
Vadim Savenkov
Copyright-Jahr
2017
Buch
Knowledge Engineering and Semantic Web

Print ISBN: 978-3-319-69547-1

Electronic ISBN: 978-3-319-69548-8

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-69548-8_14

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