RDFreduce: Supporting diverse knowledge perspectives on heterogeneous data sources in the industrial systems domain
|Autoren|| Christian Lettner|
|Titel||RDFreduce: Supporting diverse knowledge perspectives on heterogeneous data sources in the industrial systems domain|
|Buchtitel||Proceedings of the 17th International Conference on Information Quality (ICIQ 2012)|
Complexity and heterogeneity of technical and business processes cause an increased information need for IT management to maintain an overview and keep track of their duties, like manage used technology, ensure security, perform data governance, manage cost centers, etc. Associated information needs cover to approach a subject from different perspectives (e.g. business vs. technical) and from different levels of abstractions. To meet these needs, we present a semantic technology based approach that allows the creation of custom semantic aggregations on heterogeneous RDF datasets representing the subject of interest in a sustainable and repeatable way. The aggregates are equipped with provenance information, in order to be tracked back easily to the datasets they origin from.