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Crowdsourcing service requirement oriented requirement pattern elicitation method

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Abstract

“Pattern” can always help machine to recognize the new encounters, so does “requirement pattern.” Requirement pattern is one of the essences for the cognitive service to understand customer’s intention. Since crowdsourcing service platform holds abundant user demands in the form of text information, the method proposed in this paper aims at eliciting valuable patterns from this “treasure.” This method is based on a knowledge graph, which is constructed with the refined concepts of those text information of several different domains. Due to the irregularity and difference of user demand expressions, this paper will firstly explain the knowledge extraction method for heterogeneous text and the knowledge fusion-based knowledge graph construction method. Afterward, we will introduce the requirement pattern elicitation method based on this knowledge graph. The pattern could either be a frequent demand sequence or a domain-oriented rule or link. Finally, this paper will demonstrate a case study to show how those patterns can help to understand customers’ intention effectively and accurately.

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Notes

  1. Stanford coreNLP toolkit helps this research with syntactic dependency analysis and part-of-speech tagging. Its download link is https://stanfordnlp.github.io/CoreNLP/.

  2. We have post our data set and our source code in GitHub. You can download them from the following URL: https://github.com/Lvmengyao313/Freelancer.

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Acknowledgements

Research in this paper is partially supported by the National Key Research and Development Program of China (2018YFB1004804), the National Science Foundation of China (61802089, 61772155, 61832004, 61832014).

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

    Zhiying Tu, Mengyao Lv, Xiaofei Xu & Zhongjie Wang

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  1. Zhiying Tu
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  2. Mengyao Lv
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  3. Xiaofei Xu
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  4. Zhongjie Wang
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Correspondence to Zhiying Tu.

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We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work. There is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled, “Crowdsourcing Service Requirement Oriented Requirement Pattern Elicitation Method”.

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Tu, Z., Lv, M., Xu, X. et al. Crowdsourcing service requirement oriented requirement pattern elicitation method. Neural Comput & Applic 32, 10109–10126 (2020). https://doi.org/10.1007/s00521-019-04542-w

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