Demo – Paper 610

Towards Semantically Aggregating Indian Open Government Data from data.gov.in

Asha Subramanian, Anmol Garg, Omang Poddar and Srinath Srinivasa

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Abstract

Knowledge representation of "open data" involves aggregation of disparate information in a semantically meaningful context. This task is challenging as such datasets are arbitrarily structured and fragmented with no overarching contextual framework in which the datasets are uploaded. The utility of such datasets is determined by the "context" in which they are presented and the same dataset can be viewed and consumed in various contexts depending on the consumer. We present open data from data.gov.in in 'Many Worlds on a Frame (MWF)' - a framework where knowledge is organized within one or more thematic worlds each of which in turn relate to one another to form the global knowledge frame.