Please wait a minute...
Data Analysis and Knowledge Discovery  2016, Vol. 32 Issue (12): 66-75    DOI: 10.11925/infotech.1003-3513.2016.12.09
Orginal Article Current Issue | Archive | Adv Search |
Managing Patent Semantic Knowledge with Graph Database
Dongsheng Zhai,He Liu(),Jie Zhang,Liwei Cai
School of Economics and Management, Beijing University of Technology, Beijing 100124, China
Download: PDF(1725 KB)   HTML ( 38
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective]Design and implement a semantic knowledge management system for the Derwent patent data. [Context] The proposed system collects the patent data as well as the semantic relations among them. It could retrieve patent information with semantic relation. [Methods] First, we analyzed the Derwent patent data and the semantic relations among the data. Second, we modified the method of patent semantic representation based on Ontology. Third, we proposed a Derwent patent graph data model based on property graph model. Finally, we used the Neo4j graphic database to store the instantiated patent data. [Results] We built a semantic knowledge management system using cloud computing technology patents. The new system showed stronger semantic integrity and faster retrieval speed than traditional ones. [Conclusions] The proposed patent semantic knowledge management system offers stable and efficient solutions for organizing and storing patent data.

Key wordsPatent information      Semantic relation      Knowledge base      Graph database     
Received: 09 August 2016      Published: 22 January 2017

Cite this article:

Dongsheng Zhai, He Liu, Jie Zhang, Liwei Cai. Managing Patent Semantic Knowledge with Graph Database. Data Analysis and Knowledge Discovery, 2016, 32(12): 66-75.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2016.12.09     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2016/V32/I12/66

[1] Neo4j [EB/OL]. [2015-12-21]..
[2] Studer R, Benjamins V R, Fensel D.Knowledge Engineering: Principles and Methods[J]. Data & Knowledge Engineering, 1998, 25(1-2): 161-197.
[3] Ghoula N, Khelif K, Dieng-Kuntz R.Supporting Patent Mining by Using Ontology-based Semantic Annotations [C]. In: Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence. 2007: 435-438.
[4] Giereth M, Koch S, Kompatsiaris Y, et al.A Modular Framework for Ontology-based Representation of Patent Information [C]. In: Proceedings of the 20th Conference on Legal Knowledge and Information Systems, Leiden, the Netherlands. 2007: 49-58.
[5] Taduri S, Lau G T, Law K H, et al.An Ontology to Integrate Multiple Information Domains in the Patent System[C]. In: Proceesings of the 2011 IEEE International Symposium on Technology and Society. IEEE, 2011:1-9.
[6] 翟东升, 张欣琦, 张杰. Derwent专利本体设计与构建[J]. 情报科学, 2013, 31(12): 95-100.
[6] (Zhai Dongsheng, Zhang Xinqi, Zhang Jie.Design and Implementation of Derwent Patent Ontology[J]. Information Science, 2013, 31(12): 95-100.)
[7] Robinson I, Eifrem E, Webber J.Graph Databases[M]. Oreilly Media, 2013.
[8] 王余蓝. 图形数据库NEO4J与关系据库的比较研究[J]. 现代电子技术, 2012, 35(20): 77-79.
[8] (Wang Yulan.Comparison of Graphic Database NEO4J and Relational Database[J]. Modern Electronics Technique, 2012, 35(20): 77-79.)
[9] Elbattah M, Roushdy M, Aref M, et al.Large-scale Ontology Storage and Query Using Graph Database-oriented Approach: The Case of Freebase [C]. In: Proceedings of the 7th International Conference on Intelligent Computing and Information Systems. 2015.
[10] Lampoltshammer T, Wiegand S.Improving the Computational Performance of Ontology-Based Classification Using Graph Databases[J]. Remote Sensing, 2015, 7(7): 9473-9491.
[11] 李佳南, 王曰芬, 颜端武. 馆藏资源语义知识库及服务平台构建探究——以台湾问题为例[J]. 图书馆学研究, 2014(22): 29-35.
[11] (Li Jia’nan, Wang Yuefen, Yan Duanwu.Research on the Construction of the Semantic Knowledge Base of Library Resources and Service Platform — Taking Taiwan as an Example[J]. Research on Library Science, 2014(22): 29-35.)
[12] 王颖, 张智雄, 孙辉, 等. 基于本体的国史知识检索平台构建研究[J]. 图书情报工作, 2015, 59(16): 119-128.
[12] (Wang Ying, Zhang Zhixiong, Sun Hui, et al.Construction of Knowledge Retrieval Platform Based on Historic Ontology of the People’s Republic of China[J]. Library and Information Service, 2015, 59(16): 119-128.)
[13] 张慧, 侯霞, 李宁. 本体存储方法研究[J]. 北京信息科技大学学报:自然科学版, 2016, 31(3): 59-63.
[13] (Zhang Hui, Hou Xia, Li Ning.A Research on Ontology Storage Method[J]. Journal of Beijing Information Science & Technology University, 2016, 31(3): 59-63.)
[14] 本体语言[EB/OL]. [2015-12-21]..
[14] (Ontology Language [EB/OL]. [2015-12-21].. )
[15] 王立轻. 基于本体的互联网专利信息检索技术研究[D]. 北京: 北京工业大学, 2010.
[15] (Wang Liqing.Research on Internet Patent Information Retrieval Technology Based on Ontology [D]. Beijing: Beijing University of Technology, 2010.)
[16] 陶皖, 姚红燕. OWL本体关系数据库存储模式设计[J]. 计算机技术与发展, 2007, 17(2): 111-114.
[16] (Tao Wan, Yao Hongyan.Design of OWL Ontology Storage Schema in Relational Database[J]. Computer Technology and Development, 2007, 17(2): 111-114. )
[17] 翟东升, 禾文汇. 异构专利数据源集成方案设计与实现[J]. 现代图书情报技术, 2010(9): 67-73.
[17] (Zhai Dongsheng, He Wenhui.Design and Implementation of Data Integration over Heterogeneous Patent Sources[J]. New Technology of Library and Information Service, 2010(9): 67-73.)
[18] 翟东升, 李倩, 张杰. 德温特专利信息清洗与标注模型研究[J]. 情报杂志, 2013, 32(8): 150-154.
[18] (Zhai Dongsheng, Li Qian, Zhang Jie.The Research of ETL and Annotation Model Construction of Derwent Patent Information[J]. Journal of Intelligence, 2013, 32(8): 150-154.)
[19] 翟东升, 蔡力伟, 张杰. 基于专利的技术融合创新轨道识别模型研究——以云计算技术为例[J]. 情报学报, 2015, 34(4): 352-360.
[19] (Zhai Dongsheng, Cai Liwei, Zhang Jie.The Study of Patent-based Model for Identifying Technology Fusion Innovation Trajectory Illustrated by the Case of Cloud Computing Technology[J]. Journal of the China Society for Scientific and Technical Information, 2015, 34(4): 352-360.)
[1] Ruihua Qi,Junyi Zhou,Xu Guo,Caihong Liu. Extracting Book Review Topics with Knowledge Base[J]. 数据分析与知识发现, 2019, 3(6): 83-91.
[2] Jiawang Cui,Chunwang Li. Identifying Semantic Relations of Clusters Based on Linked Data[J]. 数据分析与知识发现, 2017, 1(4): 57-66.
[3] Jing Xie,Jingdong Wang,Zhenxin Wu,Zhixiong Zhang,Ying Wang,Zhifei Ye. Building Semantic Enrichment Framework for Scientific Literature Retrieval System[J]. 数据分析与知识发现, 2017, 1(4): 84-93.
[4] Guo Chen,Lu Xiao. Linking Knowledge Elements from Online Community[J]. 数据分析与知识发现, 2017, 1(11): 75-83.
[5] Li Xiaoying,Xia Guanghui,Li Danya. Finding Semantic Relations Among Subject Indexed Papers[J]. 现代图书情报技术, 2016, 32(7-8): 87-93.
[6] Zhou Pengcheng,Wu Chuan,Lu Wei. Entity Linking Method for Short Texts with Multi-Knowledge Bases: Case Study of Wikipedia and Freebase[J]. 现代图书情报技术, 2016, 32(6): 1-11.
[7] Yuan Meng, Hongwei Wang. Extracting Product Feature and User Opinion from Chinese Reviews[J]. 现代图书情报技术, 2016, 32(2): 16-24.
[8] Jiang Xun, Xu Xukan, Su Xinning. Knowledge Service-oriented Model of Knowledge Base Frame Structure Research Based on Double-base Cooperating[J]. 现代图书情报技术, 2014, 30(2): 55-62.
[9] Xu Xin, Hong Yunjia. Study on Text Visualization of Clustering Result for Domain Knowledge Base —— Take Knowledge Base of Chinese Cuisine Culture as the Object[J]. 现代图书情报技术, 2014, 30(10): 25-32.
[10] Wang Dongbo, Zhu Danhao. Research of Mining the Word Category Knowledge for Chinese Syntactic Function Distribution Knowledge Base[J]. 现代图书情报技术, 2013, 29(3): 33-37.
[11] Wang Xiuyan, Cui Lei. Extract Semantic Relations Between Biomedical Entities Applied Hybrid Method[J]. 现代图书情报技术, 2013, 29(3): 77-82.
[12] Xu Xin, Guo Jinlong. Construction of Subject Knowledge Base——Taking the Domain of Chinese Cuisine Culture as an Example[J]. 现代图书情报技术, 2013, (12): 2-9.
[13] Guo Jinlong, Hong Yunjia, Xu Xin. Construction and Application of Ontology in the Domain of Chinese Cuisine Culture[J]. 现代图书情报技术, 2013, (12): 10-18.
[14] Hong Yunjia, Xu Xin. Study on Multi-level Text Clustering for Knowledge Base Based on Domain Ontology——Taking Knowledge Base of Chinese Cuisine Culture as an Example[J]. 现代图书情报技术, 2013, (12): 19-26.
[15] Zhang Pengyi, Qu Yan, Huang Chen. Design and Application of the S&T Innovation Group and Environment Ontology[J]. 现代图书情报技术, 2013, (12): 42-47.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn