Abstract
Semantic Search emerged as the new system paradigm in enterprise information systems. These information systems allow for the problem-oriented and context-aware access of relevant information. Ontologies, as a formal knowledge organization, represent the key component in these information systems, since they enable the semantic access to information. However, very few enterprises already can provide technical ontologies for information integration. The manual construction of such knowledge organizations is a time-consuming and error-prone process. In this paper, we present a novel approach that automatically constructs technical knowledge organizations. The approach is based on semantified document structures and constraints that allow for the simple adaptation to new enterprises and information content.
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Acknowledgments
The work described in this paper is supported by the German Bundesministerium für Wirtschaft und Energie (BMWi) under the grant ZIM ZF4170601BZ5 “APOSTL: Accessible Performant Ontology Supported Text Learning”.
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Furth, S., Baumeister, J. (2017). Constructing Technical Knowledge Organizations from Document Structures. In: Frasincar, F., Ittoo, A., Nguyen, L., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2017. Lecture Notes in Computer Science(), vol 10260. Springer, Cham. https://doi.org/10.1007/978-3-319-59569-6_23
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DOI: https://doi.org/10.1007/978-3-319-59569-6_23
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