Abstract
Sesam is an archive system developed for Hafslund, a Norwegian energy company. It achieves the often-sought but rarely-achieved goal of automatically enriching metadata by using semantic technologies to extract and integrate business data from business applications. The extracted data is also indexed with a search engine together with the archived documents, allowing true enterprise search.
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Garshol, L.M., Borge, A. (2013). Hafslund Sesam – An Archive on Semantics. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds) The Semantic Web: Semantics and Big Data. ESWC 2013. Lecture Notes in Computer Science, vol 7882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38288-8_39
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DOI: https://doi.org/10.1007/978-3-642-38288-8_39
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