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Brokered Approach to Federating Data using Semantic Web Techniques

Authors:
Jeremy Siao Him Fa
Geoff West
David McMeekin
Simon Moncrieff

Keywords: integration; semantic; wfs; federation; broker; owl-s.

Abstract:
There are many situations when spatial datasets that have different data structures, schema, and format need to be combined (e.g., to form a national road network from those supplied by different regions). Current methods dealing with combining independent data sources are manually intensive, and time inefficient suggesting the need for a more automated, efficient, and user centric approach. The main problem is due to syntactic, schematic, and semantic heterogeneities as the same domain data can be represented in different ways. Although tools solving syntactic heterogeneities are numerous, there is still a requirement to solve the underlying semantic problems. One way to alleviate semantic issues is by sharing a global schema for data providers to adhere to, but this method is unlikely to be implemented in multi-governmental federated countries such as Australia, as the data sets are owned by the different States and Territories. An automated brokered approach is proposed in this paper as a solution. This approach allows domain knowledge sharing across existing and future data providers, making it plausible where data sets are diverse and owned by different parties.

Pages: 46 to 55

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-469-5

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016