Ontology based spatial clustering framework for implicit knowledge discovery
Increasing availability of geo-spatial data, enabled by improvement of technologies in the field of spatial data collection, provides unprecedented opportunities in knowledge creation and distribution. Beside the integration of distributed spatial data, available in Spatial Data Infrastructures (SDI...
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creator | Bhattacharjee, Shrutilipi Dwivedi, Akash Prasad, Rendhir R. Ghosh, Soumya K. |
description | Increasing availability of geo-spatial data, enabled by improvement of technologies in the field of spatial data collection, provides unprecedented opportunities in knowledge creation and distribution. Beside the integration of distributed spatial data, available in Spatial Data Infrastructures (SDIs), proper processing of data is crucial for knowledge discovery. This work proposes an ontology based spatial knowledge discovery framework based on Open Geospatial Consortium (OGC) standards. Data processing in geo-spatial domain is done using spatial clustering algorithm. It is implemented as the web processing service of this framework. Prediction of urban house price is taken as the case study. |
doi_str_mv | 10.1109/INDCON.2012.6420681 |
format | Conference Proceeding |
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ispartof | 2012 Annual IEEE India Conference (INDICON), 2012, p.561-566 |
issn | 2325-940X |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Buildings Clustering algorithms Cognition Knowledge discovery Ontologies Semantics Spatial databases |
title | Ontology based spatial clustering framework for implicit knowledge discovery |
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