Profiling the Linked (Open) Data

The number of datasets published as Linked (Open) Data is constantly increasing with roughly 1000 datasets as of April 2014. Despite this number of published datasets, their usage is still not exploited as they lack comprehensive and up to date metadeta. The metadata hold significant information not only to understand the data at hand but they also provide useful information to the cleansing and integration phase. Data profiling techniques can help generating metadata and statistics that describe the content of the datasets. However the existing research techniques do no cover a wide range of statistics and many challenges due to the heterogeneity nature of Linked Open Data are still to overcome. This paper presents the doctoral research which tackles the problems related to Linked Open Data Profiling. We present the proposed approach and also report the initial results.