@inproceedings{a821e7579e4e4396937ff5609b6c739f,
title = "Construction of knowledge base based on ontology",
abstract = "In order to achieve the goals of high precision, high efficiency and low cost for the assembly of multi-species and variable volume of precision micro-parts, this paper proposes a kind of method for building the ontology-based intelligent assembly knowledge base. As the traditional data model is difficult to express some complex knowledge, this knowledge base is driven by the ontology model instead of the traditional data model to solve the problem. This paper completes the knowledge base using the prot{\'e}g{\'e} software to carry out the consistency test, using the semantic web rules description language SWRL to construct reasoning rules, using Jess reasoning engine to realize the knowledge reasoning. Hence, generating new knowledge to update the knowledge base.",
keywords = "Intelligent assembly, Knowledge base, Ontology",
author = "Qian, \{Jia Hui\} and Zhang, \{Zhi Jing\} and Xin Jin and Chao Shao",
note = "Publisher Copyright: {\textcopyright}2017 Association for Computing Machinery.; 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017 ; Conference date: 20-10-2017 Through 22-10-2017",
year = "2017",
month = oct,
day = "20",
doi = "10.1145/3180496.3180610",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "77--83",
editor = "Srikanta Patnaik",
booktitle = "Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017",
}