[目的/意义] 为帮助高校师生充分利用网络招聘信息，提出基于大数据量网络招聘文本挖掘的课程知识模型及其自动构建方法。[方法/过程] 本文提出包含"岗位-课程-知识点"的三级课程知识模型，利用自然语言文本挖掘技术实现课程知识点模型的自动构建，并通过实验对其构建过程进行验证和分析。[结果/结论] 实验结果表明本文提出的模型及方法具有高度的可行性与有效性，可为高校和学生提供教学和学习参考。
[Purpose/significance] In order to help college teachers and students make full use of web recruitment information, this paper proposes a curriculum knowledge model and its automatic construction method based on large data web recruitment text mining.[Method/process] This paper proposes a three-level curriculum knowledge model including "post-curriculum-knowledge point", which uses natural language text mining technology to realize the automatic construction, and verifies the construction process through experiments.[Result/conclusion] The experimental results show that the proposed model and method are highly feasible and effective, and provide teaching and learning reference for colleges and students.
[1] CHAO C, SHIH S. Organizational and end-user information systems job market:an analysis of job types and skill requirements[J]. Inform techno learn perform, 2005, 23(1):1-15.
[2] WOWCZKO I. Skills and vacancy analysis with data mining techniques[J]. Informatics, 2015, 2(4):31-49.
[3] KIM J Y, LEE C K. An empirical analysis of requirements for data scientists using online job postings[J]. International journal of software engineering and its application, 2016, 10(4):161-172.
[4] MAURO D A, GRECO M, GRIMALDI M, et al. Beyond data scientists:a review of big data skills and job families[C]//Proceedings of the 2016 international forum on knowledge asset dynamics. Berlin:Springer International Publishing, 2016:1844-1857.
[5] 吕斌,张通,周珏.面向组织的具有通用性的情报职业及情报从业人员——基于组织招聘网页信息挖掘的分析之一[J].图书情报工作, 2009, 53(4):19-23.
[6] 李国秋,桑培铭.情报过程——情报职业的核心:问题域及方法论——基于组织招聘网页信息挖掘的分析之二[J].图书情报工作, 2009, 53(4):24-27.
[7] 夏火松, 潘筱听. 基于Python挖掘的大数据学术研究与人才需求的关系研究[J]. 信息资源管理学报, 2017, 7(1):4-12.
[8] 黄崑, 王凯飞, 王珊珊,等. 数据类岗位招聘需求调查及对图情学科人才培养的启示[J]. 图书情报知识, 2016 (6):42-53.
[9] 贾东琴, 檀博. 国外高校图书馆岗位需求调研分析——基于招聘广告的内容分析[J]. 图书馆建设, 2018 (2):84-89.
[10] SODHI M, SON B. Content analysis of OR job advertisements to infer required skills[J]. The journal of the Operational Research Society, 2010, 9(1):1315-1327.
[11] ZHAO M, JAVED F, JACOB F, et al. SKILL:a system for skill identification and normalization[C]//Proceedings of the twenty-seventh conference on innovative applications of artificial intelligence. Palo Alto:AAAI, 2015:4012-4017.
[12] XU T, ZHU H, ZHU C, et al. Measuring the popularity of job skills in recruitment market:a multi-criteria approach[C]//Proceedings of the 32nd AAAI conference on artificial intelligence, Menlo Park:AAAI, 2018:3013-3028.
[13] 詹川. 基于文本挖掘的专业人才技能需求分析——以电子商务专业为例[J]. 图书馆论坛, 2017, 5(1):116-123.
[14] 夏立新, 楚林, 王忠义,等. 基于网络文本挖掘的就业知识需求关系构建[J]. 图书情报知识, 2016, 169(1):94-100.
[15] BASTIAN M, HAYES M, VAUGHAN W, et al. LinkedIn skills:large-scale topic extraction and inference[C]//ACM conference on recommender systems. New York:ACM, 2014:1-8.
[16] 王召义, 薛晨杰, 刘玉林. 基于邻近词分析的电子商务技能需求分析[J]. 信息资源管理学报, 2018, 11(2):113-121.
[17] 刘睿伦, 叶文豪, 高瑞卿,等. 基于大数据岗位需求的文本聚类研究[J]. 数据分析与知识发现, 2017, 12(12):32-40.
[18] 张俊峰, 魏瑞斌. 国内招聘类网站的数据类岗位人才需求特征挖掘[J]. 情报杂志, 2018, 37(6):176-182.
[19] 王东波, 胡昊天, 周鑫,等. 基于深度学习的数据科学招聘实体自动抽取及分析研究[J]. 图书情报工作, 2018, 62(13):64-73.
[20] 魏来, 郑华敏. 国内外数据馆员能力要求比较研究[J]. 图书情报工作, 2018,62(10):18-24.
[21] 田野. 国内图情档专业需求现状调查与分析[J]. 图书情报工作, 2018, 62(9):62-72.
[22] 陈媛媛, 董伟. 社会需求导向下图书情报专业毕业生就业技能分析[J]. 图书情报工作, 2017, 61(19):66-73.
[23] BLEI D M, NG A Y, JORDAN M I. Latent Dirichlet Allocation[J]. Journal of machine learning research, 2003, 3(1):993-1022.
[24] GRIFFITHS T L, STEYVERS M. Finding scientific topics[J]. PNAS, 2004, 101(1):5228-5235.
