基于文本融合的物联网触发动作编程模式服务推荐方法

doi:10.13229/j.cnki.jdxbgxb20210848

Abstract

Abstract:

This article proposes a service recommendation approach for a type of Internet of Things (IoT) automation-driven applications. The approach combines text analysis, heterogeneous information networks and deep learning to find related objects in the IoT by analyzing text, and then recommends the services. First, we construct a text fusion heterogeneous information network, which integrates text and text relationships. Then we design meta-paths and relationship weights. Finally, we train a neural network model for recommending the services. This paper conducts an experimental evaluation on a real data set. The results show that the proposed approach can be used for recommendation task and outperforms some classical methods.

Key words: computer application, internet of things, heterogeneous information network, text analysis, trigger-action programming pattern

CLC Number:

TP391.1

Dong-ming SUN,Liang HU,Yong-heng XING,Feng WANG. Text fusion based internet of things service recommendation for trigger⁃action programming pattern[J].Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 2182-2189.

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References 27

1	丁琳,王会娟. 互联网技术进步对中国就业的影响及国别比较研究[J]. 经济科学, 2020(1): 72-85.
	Ding Lin, Wang Hui-juan. The impact of internet technological change on employment in china and country comparison[J]. Economic Science, 2020(1): 72-85.
2	孙静愚. 数字地球技术及其应用研究[J]. 环球市场信息导报, 2017(8): 14-16.
	Sun Jing-yu. Research on digital earth technology and its application[J]. Global Marhet Information Guide, 2017(8): 14-16.
3	郭志鹏, 李娟, 赵友刚, 等. 物联网中的无线传感器网络技术综述[J]. 计算机与应用化学, 2019, 36(1): 72-83.
	Guo Zhi-peng, Li Juan, Zhao You-gang, et al. Review of wireless sensor networks technology in internet of things[J]. Computers and Applied Chemistry, 2019, 36(1): 72-83.
4	谢军, 庄建楼, 康成斌. 基于北斗系统的物联网技术与应用[J]. 南京航空航天大学学报, 2021, 53(3): 329-337.
	Xie Jun, Zhuang Jian-lou, Kang Cheng-bin. Internet of things technology and application based on beidou system[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2021, 53(3): 329-337.
5	Teillet P M. Sensor webs: a geostrategic technology for integrated earth sensing[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2010, 3(4): 473-480.
6	傅文博, 张杰, 陈永乐. 物联网环境下抵抗路由欺骗攻击的网络拓扑发现算法[J]. 吉林大学学报: 工学版, 2018, 48(4): 1231-1236.
	Fu Wen-bo, Zhang Jie, Chen Yong-le. Network topology discovery algorithm against routing spoofing attack in internet of things[J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(4): 1231-1236.
7	Samie F, Bauer L, Henkel J. IoT Technologies for embedded computing: a survey[C]∥International Conference on Hardware/Software Codesign and System Synthesis, Pittsburgh, PA, USA, 2016:1-10.
8	陈红松, 陈京九. 基于统计的物联网分布式拒绝服务攻击检测[J]. 吉林大学学报: 工学版, 2020, 50(5): 1894-1904.
	Chen Hong-song, Chen Jing-jiu. Statistical based distributed denial of service attack detection research in internet of things[J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1894-1904.
9	Nguyen K T, Laurent M, Oualha N. Survey on secure communication protocols for the internet of things[J]. Ad Hoc Networks, 2015, 32: 17-31.
10	Wang F, Hu L, Zhou J, et al. A survey from the perspective of evolutionary process in the internet of things[J]. International Journal of Distributed Sensor Networks, 2015, 11(3): 1944-1947.
11	Teillet P M. Sensor webs: a geostrategic technology for integrated earth sensing[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2010, 3(4): 473-480.
12	Jian Z, Shan L H, Hu H L, et al. Mobile cellular networks and wireless sensor networks: toward convergence[J]. IEEE Communications Magazine, 2012, 50(3): 164-169.
13	Neuhaus H, Compton M. The semantic sensor network ontology[C]∥AGILE workshop on challenges in geospatial data harmonisation, Hannover, Germany, 2009: 1-33.
14	Gyrard A, Patel P, Datta S K, et al. Semantic web meets internet of things and web of things[C]∥Proceedings of the 26th International Conference on World Wide Web Companion, Kobe, Japan, 2017: 917-920.
15	Ling W, Blunsom P, Grefenstette E, et al. Latent predictor networks for code generation[C]∥Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, 2016:599-609.
16	Quirk C, Mooney R, Galley M. Language to Code: learning semantic parsers for if-this-then-that recipes[C]∥Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-
17	, Beijing, China, 2015: 878-888.
18	Compton M, Barnaghi P, Bermudez L, et al. The SSN ontology of the W3C semantic sensor network incubator group[J]. Journal of Web Semantics, 2012, 17: 25-32.
19	Ganzha M, Paprzycki M, Pawlowski W, et al. Semantic interoperability in the internet of things; an overview from the INTER-IoT perspective[J]. Journal of Network & Computer Applications, 2016, 81: 111-124.
20	Lin J W, Chelliah P R, Hsu M C, et al. Efficient fault-tolerant routing in iot wireless sensor networks based on bipartite-flow graph modeling[J]. IEEE Access, 2019, 7: 14022-14034.
21	Alasmary H, Khormali A, Anwar A, et al. Analyzing and detecting emerging internet of things malware: a graph-based approach[J]. IEEE Internet of Things Journal, 2019, 6(5): 8977-8988.
22	Hou Shi-fu, Ye Yan-fang, Song Yang-qiu, et al. HinDroid: an intelligent android malware detection system based on structured heterogeneous information network[C]∥The 23rd ACM SIGKDD International Conference, Halifax, Canada, 2017: 1507-1515.
23	Yao L N, Quan Z S, Ngu A, et al. Things of interest recommendation by leveraging heterogeneous relations in the internet of things[J]. Acm Transactions on Internet Technology, 2016, 16(2): 1-25.
24	ConceptNet[EB/OL]. [2021-02-20].
25	Sun Y Z, Han J W, Yan X F, et al. PathSim: meta path-based top-k similarity search in heterogeneous information networks[J]. Proceedings of the VLDB Endowment, 2011, 4(11): 992-1003.
26	Mi X H, Qian F, Zhang Y, et al. An empirical characterization of IFTTT: ecosystem, usage, and performance[C]∥Proceedings of the 2017 Internet Measurement Conference, London, United Kingdom, 2017:398-404.
27	IFTTT[EB/OL]. [2021-02-22].

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方法	Accuracy	Precision	Recall	F₁-score
1NN	0.626	0.660	0.626	0.619
3NN	0.558	0.630	0.558	0.556
NB	0.484	0.516	0.484	0.489
DT	0.689	0.717	0.689	0.691
SVM	0.305	0.093	0.305	0.143
本文	0.794	0.801	0.794	0.787

方法	Accuracy	Precision	Recall	F₁-score
1NN	0.579	0.647	0.579	0.588
3NN	0.521	0.634	0.521	0.522
NB	0.432	0.472	0.432	0.428
DT	0.721	0.736	0.721	0.719
SVM	0.147	0.022	0.147	0.038
本文	0.782	0.792	0.782	0.779

方法	Accuracy	Precision	Recall	F₁-score
1NN	0.603	0.643	0.603	0.604
3NN	0.540	0.646	0.539	0.546
NB	0.458	0.486	0.458	0.461
DT	0.705	0.719	0.705	0.704
SVM	0.226	0.064	0.226	0.100
本文	0.788	0.799	0.788	0.783

Text fusion based internet of things service recommendation for trigger⁃action programming pattern

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