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Environmental Information Perception, Analysis and Communication with the Aid of Natural Language Processing

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dc.contributor.authorTrausan-Matu, Stefan
dc.contributor.authorKaratzas, Kostas
dc.contributor.authorChiru, Costin
dc.contributor.editorHryniewicz, Olgierd
dc.contributor.editorStudzinski, Jan
dc.contributor.editorRomaniuk, Maciej
dc.date.accessioned2019-09-16T09:36:31Z
dc.date.available2019-09-16T09:36:31Z
dc.date.issued2007
dc.description.abstractThe perception of environmental information (EI) and the way that it is structured within Environmental Information Portals (EIP) are of major importance for the design of such information systems. The present paper investigates the concepts of air quality perception and applies natural language processing for developing a framework of concepts, phrases, patterns, collocations, and metaphors around an air quality ontology. The results reveal the frequency of appearance and the relations between basic terms, thus reflecting domain perception, and the collocations that underline ontology structures. It is therefore made evident that natural language processing may be used for the analysis of EI perception and communication and for supporting the design of EI systems.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol116/0299.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/27615
dc.publisherShaker Verlag
dc.relation.ispartofEnvironmental Informatics and Systems Research
dc.relation.ispartofseriesEnviroInfo
dc.titleEnvironmental Information Perception, Analysis and Communication with the Aid of Natural Language Processingde
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date2007
gi.conference.locationWarschau
gi.conference.sessiontitleEnvironmental Engineering and Environmental Informatics with Respect to Health Protection

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Environmental Informatics 2007