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Identifying Information with Environmental Relevance in Web Sites of the Public Administration Using Automatic Classification

dc.contributor.authorSchenk, Franz
dc.contributor.authorMeyerholt, Daniel
dc.contributor.editorPillmann, W.
dc.contributor.editorSchade, S.
dc.contributor.editorSmits, P.
dc.date.accessioned2019-09-16T03:14:24Z
dc.date.available2019-09-16T03:14:24Z
dc.date.issued2011
dc.description.abstractAbstract The German environmental information portal PortalU is a publicly financed information infrastructure. It offers a single point of entry for searches on all kinds of information with environmental relevance held by public authorities. From the point of view of the query facility in PortalU, all information sources can be treated uniformly based on the common structure of the search results. One of the key problems in PortalU is how to ensure the relevance of data that is available in a distributed index structure. Whereas some data sources, e.g. metadata catalogues, typically contain only highly relevant material with respect to the content model of PortalU, other data sources like Web indexes tend to contain more heterogeneous material. In this paper we describe how automatic classification of Web pages can be used in order to provide information with a high degree of environmental relevance.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol6919/0082.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/26040
dc.publisherShaker Verlag
dc.relation.ispartofInnovations in Sharing Environmental Observations and Information
dc.relation.ispartofseriesEnviroInfo
dc.titleIdentifying Information with Environmental Relevance in Web Sites of the Public Administration Using Automatic Classificationde
dc.typeText/Conference Paper
gi.citation.publisherPlaceAachen
gi.conference.date2011
gi.conference.locationIspra
gi.conference.sessiontitleEnvironmental Communication

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