Abstract
Ontologies play an important role of the applications in recent years, especially on the Semantic Web, Information Retrieval, Information Extraction, and Question Answering. Ontologies are used in order to specify the knowledge that is exchanged and shared between the different systems. Ontologies define the formal semantics of the terms used for describing data, and the relations between these terms. Hence, one of the important steps for building the domain specific ontology is to construct the semantic relations among the terms of the ontology. This paper represents our proposed method for automatic semantic relation extraction from text documents of the ACM Digital Library. A random sample among 170 categories of ACM categories is used to evaluate our proposed method. Results generated show that our proposed method achieves high precision.
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Ta, C.D., Thi, T.P. (2016). Automatic Extraction of Semantic Relations from Text Documents. In: Dang, T., Wagner, R., Küng, J., Thoai, N., Takizawa, M., Neuhold, E. (eds) Future Data and Security Engineering. FDSE 2016. Lecture Notes in Computer Science(), vol 10018. Springer, Cham. https://doi.org/10.1007/978-3-319-48057-2_24
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DOI: https://doi.org/10.1007/978-3-319-48057-2_24
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