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Ontology Construction Based on Deep Learning

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 474))

Abstract

With the development of information technology, ontology is widely applied to different areas has become an important technology in knowledge presenting, knowledge acquirement and application. This paper proposes a method of multi-ontology construction based on deep learning, which is based on a great amount of non-structured text. We apply this method to an experiment regarding to the domain of shipping industry (including ship, harbor, shipping line and etc.). And the result shows that it is capable of constructing multi-ontology automatically and effectively.

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Correspondence to Lei Kong .

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Wang, J., Liu, J., Kong, L. (2018). Ontology Construction Based on Deep Learning. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_83

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  • DOI: https://doi.org/10.1007/978-981-10-7605-3_83

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7604-6

  • Online ISBN: 978-981-10-7605-3

  • eBook Packages: EngineeringEngineering (R0)

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