Abstract
Today, service information for technical devices (machines, plants, factories) is stored in large information systems. In case of a problem-situation with the artefact, usually a service technician needs these systems to access relevant information resources in a precise and quick manner. However, semantic information systems demand the resources to be semantically prepared. For new resources, semantic descriptions can be easily created during the authoring process. However, the efficient semantification of legacy documentation is practically unsolved. This paper presents a semi-automated approach to the semantic preparation of legacy documentation in the technical domain. The knowledge-intensive method implements the document structure recovery process that is necessary for a further semantic integration into the system. We claim that the approach is simple and intuitive but yields sufficient results.
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Notes
- 1.
TEKNO: TEchnical KNowledge Ontology.
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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., Schirm, M., Belli, V., Baumeister, J. (2017). TEKNO: Preparing Legacy Technical Documents for Semantic Information Systems. 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_51
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DOI: https://doi.org/10.1007/978-3-319-59569-6_51
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