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dc.contributor.authorPillai, Manesh
dc.contributor.authorKarabatis, George
dc.date.accessioned2018-03-27T19:56:06Z
dc.date.available2018-03-27T19:56:06Z
dc.date.issued2018
dc.descriptionHeteroNAM 2018en_US
dc.description.abstractGeographic information retrieval (GIR) research mainly focuses on finding relevant geographic artifacts along one layer, although answers to queries should preferably include artifacts across multiple layers.This paper addresses this limitation, by exploiting relationships that exist between geographical objects of the same or different types. Given the existence of these relationships we can infer additional indirect semantic relationships between geographical objects that otherwise would be ignored. This semantic information contains multiple dimensions. This research creates a mathematical model of semantically relevant geographic objects that belong to different layers using the construct of multiplex networks. The proposed model respects and extends the “layered” structure of geographic data, and enhances the results of queries made to a GIS. A prototype system has been implemented over an existing GIS relational database. Experiments with the prototype show significant improvements in the results of queries, measured using precision and recall.en_US
dc.description.urihttp://heteronam.org/2018/papers/HeteroNAM_2018_paper_2.pdfen_US
dc.format.extent8 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/M2W37KX5Z
dc.identifier.urihttp://hdl.handle.net/11603/7900
dc.language.isoen_USen_US
dc.publisherHETERONAMen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
dc.subjectGeographic information systemsen_US
dc.subjectdynamic graph algorithmen_US
dc.subjectGeographic information retrievalen_US
dc.subjectmultiplex networksen_US
dc.titleEnhancing spatial query results using semantics and multiplex networksen_US
dc.typeTexten_US


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