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Natural Language Semantic Construction Based on Cloud Database

Suzhen Wang1, Lu Zhang1, Yanpiao Zhang1, Jieli Sun1, Chaoyi Pang2, Gang Tian3, Ning Cao4,*

Hebei University of Economics and Business, Shijiazhuang, Hebei, 050061, China.
The Australian e-Health Research Centre, ICT Centre, CSIRO, Australia.
Shandong University of Science and Technology, Qingdao, Shandong, 266590, China.
University College Dublin, Belfield, Dublin 4, Ireland.

* Corresponding Author: Ning Cao. Email: email.

Computers, Materials & Continua 2018, 57(3), 603-619.


Natural language semantic construction improves natural language comprehension ability and analytical skills of the machine. It is the basis for realizing the information exchange in the intelligent cloud-computing environment. This paper proposes a natural language semantic construction method based on cloud database, mainly including two parts: natural language cloud database construction and natural language semantic construction. Natural Language cloud database is established on the CloudStack cloud-computing environment, which is composed by corpus, thesaurus, word vector library and ontology knowledge base. In this section, we concentrate on the pretreatment of corpus and the presentation of background knowledge ontology, and then put forward a TF-IDF and word vector distance based algorithm for duplicated webpages (TWDW). It raises the recognition efficiency of repeated web pages. The part of natural language semantic construction mainly introduces the dynamic process of semantic construction and proposes a mapping algorithm based on semantic similarity (MBSS), which is a bridge between Predicate-Argument (PA) structure and background knowledge ontology. Experiments show that compared with the relevant algorithms, the precision and recall of both algorithms we propose have been significantly improved. The work in this paper improves the understanding of natural language semantics, and provides effective data support for the natural language interaction function of the cloud service.


Cite This Article

APA Style
Wang, S., Zhang, L., Zhang, Y., Sun, J., Pang, C. et al. (2018). Natural language semantic construction based on cloud database. Computers, Materials & Continua, 57(3), 603-619.
Vancouver Style
Wang S, Zhang L, Zhang Y, Sun J, Pang C, Tian G, et al. Natural language semantic construction based on cloud database. Comput Mater Contin. 2018;57(3):603-619
IEEE Style
S. Wang et al., "Natural Language Semantic Construction Based on Cloud Database," Comput. Mater. Contin., vol. 57, no. 3, pp. 603-619. 2018.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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