Abstract
Knowledge acquisition from text is an important research of artificial intelligence. In this paper, we present a method of acquiring knowledge from Chinese records of events of cyber attacks based on a semantic grammar. In order to parse the sentences in the records, the method first identifies Chinese noun phrases in the records, and then use the semantic grammar of the cyber-attack domain to parse the records. Finally, knowledge is extracted from the parsing trees. Experimental results show that our method for noun phase identification has a good performance, and the precision of knowledge acquisition reaches a high level of 90 %.
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Acknowledgments
This word is supported by the National Science Foundation of China (under grant No. 91224006 and 61173063) and the Ministry of Science and Technology (under grant No. 201307107).
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Fang, F., Wang, Y., Zhang, L., Cao, C. (2016). Knowledge Extraction from Chinese Records of Cyber Attacks Based on a Semantic Grammar. In: Lehner, F., Fteimi, N. (eds) Knowledge Science, Engineering and Management. KSEM 2016. Lecture Notes in Computer Science(), vol 9983. Springer, Cham. https://doi.org/10.1007/978-3-319-47650-6_5
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DOI: https://doi.org/10.1007/978-3-319-47650-6_5
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