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Author Medeiros, Claudia Bauzer ♦ Macário, Carla Geovana N.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Earth sciences
Subject Keyword Geospatial standards ♦ Geospatial data ♦ Semantic annotation ♦ Semantic interoperability
Abstract The Web is a huge repository of geospatial information (GI), distributed all over the world. Efficient retrieval of this information is a key factor in planning and decision-making in a variety of domains. However, the proposed standards and specifications for data annotation and exchanging enable only syntactic interoperability. Semantic heterogeneity still presents challenges for GI retrieval. One possible approach to tackle these problems is to elicit knowledge by means of semantic annotations, based on multiple ontologies. This work describes a framework to support management of semantic annotations for digital content on the Web, for agricultural planning and monitoring. This will help end-users (agronomers, farmers, Earth scientists) to work cooperatively in developing integrated practices for land management. Content to be annotated in this context includes, for instance, satellite images, sensor data temporal series (e.g., from ground sensors or weather stations), and all kinds of textual data files.
Description Affiliation: University of Campinas - UNICAMP, Campinas, SP, Brazil (Medeiros, Claudia Bauzer) || University of Campinas - UNICAMP, Campinas, SP, Brazil and Embrapa Agriculture Informatics, Campinas, SP, Brazil (Macário, Carla Geovana N.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-06-21
Publisher Place New York
Journal SIGSPATIAL Special (SIGSPACIAL)
Volume Number 1
Issue Number 1
Page Count 6
Starting Page 27
Ending Page 32


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Source: ACM Digital Library