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. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Garshol, L. M., & Borge, A. (2013). Hafslund sesam-an archive on semantics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7882 LNCS, pp. 578–592). Springer Verlag. https://doi.org/10.1007/978-3-642-38288-8_39
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