%0 Book Section %1 HesseKohnEtAl14p405 %A Hesse, Hans-Josef %A Kohn, Andreas %A Lehmann, Jörn %A Farzaneh, Helena Hashemi %A Ihlenburg, Ditmar %B Towards the Internet of Services: The THESEUS Research Program %C Berlin %D 2014 %E Wahlster, Wolfgang %E Grallert, Hans-Joachim %E Wess, Stefan %E Friedrich, Hermann %E Widenka, Thomas %I Springer %K v1500 springer paper ai semantic web factory engineering business process assist text knowledge processing information retrieval zzz.th zzz.ios zzz.sfit %P 405-416 %R 10.1007/978-3-319-06755-1_31 %T Integration of Semantic Technologies for Business Process Support in the Automation Industry %X The reuse of existing information is an important factor for efficient business workflows in mechanical engineering. However, a considerable amount of this information is currently stored in unstructured text documents and therefore not easily accessible. Currently, no existing software system gives access to this hidden information. Companies will benefit from using linguistic algorithms in combination with semantic technologies to extract information from unstructured documents. This article exemplifies the successful use of semantic technologies, combined with textmining tools to extract facts from unstructured data. An example from the field of automation industry is used to describe and evaluate the presented approach. A function-based knowledge model for the classification and description of technical solutions is developed. An innovative software system supports the annotation of unstructured documents and the subsequent search for technical solutions. Previously inaccessible and hidden knowledge is unlocked and can be utilized more efficiently in business processes.

@incollection{HesseKohnEtAl14p405, abstract = {The reuse of existing information is an important factor for efficient business workflows in mechanical engineering. However, a considerable amount of this information is currently stored in unstructured text documents and therefore not easily accessible. Currently, no existing software system gives access to this hidden information. Companies will benefit from using linguistic algorithms in combination with semantic technologies to extract information from unstructured documents. This article exemplifies the successful use of semantic technologies, combined with textmining tools to extract facts from unstructured data. An example from the field of automation industry is used to describe and evaluate the presented approach. A function-based knowledge model for the classification and description of technical solutions is developed. An innovative software system supports the annotation of unstructured documents and the subsequent search for technical solutions. Previously inaccessible and hidden knowledge is unlocked and can be utilized more efficiently in business processes.}, added-at = {2015-02-21T10:36:36.000+0100}, address = {Berlin}, author = {Hesse, Hans-Josef and Kohn, Andreas and Lehmann, J\"{o}rn and Farzaneh, Helena Hashemi and Ihlenburg, Ditmar}, biburl = {https://www.bibsonomy.org/bibtex/2e5682a66210a92c9314f20ed7ed79908/flint63}, booktitle = {Towards the Internet of Services: The {THESEUS} Research Program}, crossref = {WahlsterGrallertEtAl2014}, doi = {10.1007/978-3-319-06755-1_31}, editor = {Wahlster, Wolfgang and Grallert, Hans-Joachim and Wess, Stefan and Friedrich, Hermann and Widenka, Thomas}, file = {Springer for Professionals:2014/HesseKohnEtAl14p405.pdf:PDF}, groups = {public}, interhash = {1afb6ee71fd8b94ec5f595f656d53cf1}, intrahash = {e5682a66210a92c9314f20ed7ed79908}, keywords = {v1500 springer paper ai semantic web factory engineering business process assist text knowledge processing information retrieval zzz.th zzz.ios zzz.sfit}, pages = {405-416}, publisher = {Springer}, timestamp = {2018-04-16T12:11:50.000+0200}, title = {Integration of Semantic Technologies for Business Process Support in the Automation Industry}, username = {flint63}, year = 2014 }