There is an abundance of semi-structured reports on events being written and made available on the World Wide Web on a daily basis. These reports are primarily meant for human use. In this paper we present a new linked data set and a method for automatically adding such RDF metadata to semi-structured reports to speed up the creation of geographical mashups and visual analytics applications. We showcase our method on piracy attack reports issued by the International Chamber of Commerce (ICC-CCS). We show how the semantic representation makes it possible to easily analyze and visualize the aggregated reports to answer domain questions. Our pipeline includes conversion of the reports to RDF, linking their parts to external resources from the Linked Open Data cloud and exposing them to the Web.
CITATION STYLE
Van Hage, W. R., Malaisé, V., & Van Erp, M. (2011). Linked open piracy. In CEUR Workshop Proceedings (Vol. 779, pp. 88–97). CEUR-WS.
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