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Using Open Geographic Data to Generate Natural Language Descriptions for Hydrological Sensor Networks
2015
Sensors
Providing descriptions of isolated sensors and sensor networks in natural language, understandable by the general public, is useful to help users find relevant sensors and analyze sensor data. In this paper, we discuss the feasibility of using geographic knowledge from public databases available on the Web (such as OpenStreetMap, Geonames, or DBpedia) to automatically construct such descriptions. We present a general method that uses such information to generate sensor descriptions in natural
doi:10.3390/s150716009
pmid:26151211
pmcid:PMC4541865
fatcat:bvb2pmsgqrbe7c6fdov5tbj6va