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dc.contributor.authorYoo, Byounghyun-
dc.contributor.authorHarward, V. Judson-
dc.date.accessioned2024-01-20T08:32:29Z-
dc.date.available2024-01-20T08:32:29Z-
dc.date.created2021-09-05-
dc.date.issued2014-11-
dc.identifier.issn1753-8947-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/126165-
dc.description.abstractThere are several issues with Web-based search interfaces on a Sensor Web data infrastructure. It can be difficult to (1) find the proper keywords for the formulation of queries and (2) explore the information if the user does not have previous knowledge about the particular sensor systems providing the information. We investigate how the visualization of sensor resources on a 3D Web-based Digital Earth globe organized by level-of-detail (LOD) can enhance search and exploration of information by easing the formulation of geospatial queries against the metadata of sensor systems. Our case study provides an approach inspired by geographical mashups in which freely available functionality and data are flexibly combined. We use PostgreSQL, PostGIS, PHP, and X3D-Earth technologies to allow the Web3D standard and its geospatial component to be used for visual exploration and LOD control of a dynamic scene. Our goal is to facilitate the dynamic exploration of the Sensor Web and to allow the user to seamlessly focus in on a particular sensor system from a set of registered sensor networks deployed across the globe. We present a prototype metadata exploration system featuring LOD for a multiscaled Sensor Web as a Digital Earth application.-
dc.languageEnglish-
dc.publisherTAYLOR & FRANCIS LTD-
dc.subjectSEMANTIC METADATA-
dc.titleVisualization and level-of-detail of metadata for interactive exploration of Sensor Web-
dc.typeArticle-
dc.identifier.doi10.1080/17538947.2013.807306-
dc.description.journalClass1-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF DIGITAL EARTH, v.7, no.11, pp.847 - 869-
dc.citation.titleINTERNATIONAL JOURNAL OF DIGITAL EARTH-
dc.citation.volume7-
dc.citation.number11-
dc.citation.startPage847-
dc.citation.endPage869-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000340459200001-
dc.identifier.scopusid2-s2.0-84905639036-
dc.relation.journalWebOfScienceCategoryGeography, Physical-
dc.relation.journalWebOfScienceCategoryRemote Sensing-
dc.relation.journalResearchAreaPhysical Geography-
dc.relation.journalResearchAreaRemote Sensing-
dc.type.docTypeArticle-
dc.subject.keywordPlusSEMANTIC METADATA-
dc.subject.keywordAuthorSensor Web data visualization-
dc.subject.keywordAuthorSensor Web data discovery and search-
dc.subject.keywordAuthorlevel-of-detail-
dc.subject.keywordAuthormetadata visualization-
dc.subject.keywordAuthorWeb3D standard-
dc.subject.keywordAuthorextensible 3D graphics-
dc.subject.keywordAuthorX3D geospatial component-
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