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Semi-automatic service value network modeling approach based on external public data

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Abstract

Various emerging IT technologies are widely used in the service industry. Thus, an increasing number of new service models have also emerged, including the Internet of Services (IoS). The IoS supports network-based service collaboration and transactions among various service participants from different domains and different organizations, and it is expected to deliver the maximum service value to all stakeholders. To describe the cross-domain, cross-organization, and cross-value chain characteristics of the IoS from a value perspective and support subsequent analysis of the value network and optimization of the IoS, this paper proposes a semi-automatic modeling method for a IoS-oriented value network based on external public data. We first propose an intelligent domain entity recognition algorithm based on multidimensional web data to help value network modelers realize effective and efficient recognition of service participants. Then, based on external news data, an intelligent domain relationship extraction algorithm that combines the Bert + BiLSTM + CRF model with the LightGBM model is proposed to effectively and efficiently identify the value exchange relationships among service participants, thereby forming an IoS-oriented value network model (IVN). Finally, to extend the cross-domain semantics of the IVN and support analysis of the IVN, we present a domain-specific value chain extraction algorithm based on typical patterns to complete the cross-domain semantic annotation of the IVN. The effectiveness and efficiency of the proposed methods and algorithms are validated through experimental analysis and a case study, which can be of great help in IVN modeling.

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Notes

  1. Taobao is a comprehensive retailer circle that includes various e-commerce modes, e.g., C2C, group buying, distribution, and auction, as well as an e-commerce trading platform that includes various fields, e.g., products, fashion shopping, and entertainment https://www.taobao.com/.

  2. Ctrip is an online ticketing service company that integrates e-commerce and travel transportation. Ctrip has more than 600,000 member hotels available for booking and is the leading hotel booking service center in China. https://www.ctrip.com/.

  3. Xiaomi Youpin is a famous open life shopping platform. In addition to Xiaomi, Mijia, and eco-chain brands, Xiaomi Youpin also introduces third-party brands with complete chain capabilities in design, manufacturing, sales, logistics, and after-sales, spanning e-commerce, office, entertainment, home life, and other fields. https://www.mi.com/.

  4. Meituan, as the leading life service e-commerce platform in China, the company owns Meituan, VW Dianping, Meituan Takeaway, and other popular apps https://www.meituan.com.

  5. Keyword set of receiving value class Cr: get, awarded, chop, honored, elected, access, accept, receive.Other actions default to key verbs in the provide value category.

  6. https://36kr.com/.

  7. https://github.com/Cheryl711/data_svn.git.

  8. Amazon is an online business and cloud computing company. As a titan of e-commerce, Amazon’s business covers books, electronics, clothing and many other goods. Now, it is the largest Internet-based store in the world https://www.amazon.com/.

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Acknowledgements

This study was supported in part by the National Key Research and Development Program of China (No. 2018YFB1402900), the National Science Foundation of China (Nos. 61832004, 61832014), and the Natural Science Foundation of Heilongjiang Province, China (No. QC2018081).

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Authors and Affiliations

  1. Faculty of Computing, Harbin Institute of Technology, Xidazhi Street, Harbin, 150000, Heilongjiang Province, China

    Jingying Wang, Huixin Xu, Zhiying Tu, Xiaofei Xu, Hanchuan Xu & Zhongjie Wang

  2. School of Computer Science and Technology, Harbin University of Science and Technology, Linyuan Street, Harbin, 150000, Heilongjiang Province, China

    Chao Ma

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  1. Jingying Wang
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  3. Huixin Xu
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Correspondence to Zhongjie Wang.

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Communicated by Tao Yue.

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Wang, J., Ma, C., Xu, H. et al. Semi-automatic service value network modeling approach based on external public data. Softw Syst Model 22, 751–775 (2023). https://doi.org/10.1007/s10270-022-01014-z

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