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An overwhelming amount of data arriving from disparate sources can be a bottleneck in realization of any service. This data, if properly processed and annotated, can be a useful source of information. This paper builds an Area Profile Ontology (APO) and imports other related ontology to annotate rich data arriving from multiple sensor streams like cameras. The annotation process provides an impetus to the improvement of knowledge over time. APO provides the main concepts and properties to model an area which can span even a city. The authors define Jena rules to infer intelligent information about the position of an object of their interest. They illustrate ontology emergence by drawing upon a case study to show an actual application.
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