Abstract
Improvement of technologies in the field of spatial data collection provide a lot of research opportunities in the field of Geographic Information System. The geospatial data are often dynamic in nature and available in heterogeneous format. The online spatial data sources are one of the key avenues for publishing and retrieving the geo-spatial data. Efficient discovery of these data sources through Internet, retrieval and analysis of useful information, is one of major challenges in this field. The paper proposes a framework for discovering the geo-spatial data sources using a spatial web crawler. This will facilitate processing of spatial queries involving distributed heterogeneous data repositories. This is being done with the help of the Web Feature Service (WFS) standard specification provided by Open Geospatial Consortium (OGC). Geo-spatial information is retrieved further for semantic annotations of the data sources using ontology. The semantic information is stored in the form of feature_type repositories as the area of interest lies around the geographic features provided by the geo-servers. The performance study analyzes the accuracy of discovery and semantic annotation of geo-servers for better understanding the framework.
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Patil, S., Bhattacharjee, S., Ghosh, S.K. (2014). A Spatial Web Crawler for Discovering Geo-servers and Semantic Referencing with Spatial Features. In: Natarajan, R. (eds) Distributed Computing and Internet Technology. ICDCIT 2014. Lecture Notes in Computer Science, vol 8337. Springer, Cham. https://doi.org/10.1007/978-3-319-04483-5_7
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DOI: https://doi.org/10.1007/978-3-319-04483-5_7
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