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基于本体的造林树种知识图谱构建与应用

刘明鹏 王忠明 马文君

刘明鹏, 王忠明, 马文君. 基于本体的造林树种知识图谱构建与应用[J]. 北京林业大学学报, 2023, 45(8): 109-122. doi: 10.12171/j.1000-1522.20210386
引用本文: 刘明鹏, 王忠明, 马文君. 基于本体的造林树种知识图谱构建与应用[J]. 北京林业大学学报, 2023, 45(8): 109-122. doi: 10.12171/j.1000-1522.20210386
Liu Mingpeng, Wang Zhongming, Ma Wenjun. Construction and application of ontology based knowledge graph for afforestation tree species[J]. Journal of Beijing Forestry University, 2023, 45(8): 109-122. doi: 10.12171/j.1000-1522.20210386
Citation: Liu Mingpeng, Wang Zhongming, Ma Wenjun. Construction and application of ontology based knowledge graph for afforestation tree species[J]. Journal of Beijing Forestry University, 2023, 45(8): 109-122. doi: 10.12171/j.1000-1522.20210386

基于本体的造林树种知识图谱构建与应用

doi: 10.12171/j.1000-1522.20210386
基金项目: 中国工程科技知识中心建设项目“林业工程专业知识服务系统”(CKCEST-2021-1-2)。
详细信息
    作者简介:

    刘明鹏。主要研究方向:网络信息资源管理、知识图谱。Email:lmp951119@163.com 地址:100091北京市海淀区香山路东小府 1 号中国林业科学研究院林业科技信息研究所

    责任作者:

    王忠明,研究员。主要研究方向:网络信息资源管理。Email:wzmlk@yeah.net 地址:同上

  • 中图分类号: S725.3;S771.3

Construction and application of ontology based knowledge graph for afforestation tree species

  • 摘要:   目的  随着大数据、人工智能等信息技术的蓬勃发展,各领域信息服务方式由数据服务向知识服务转变。本文抓住林业知识繁杂、多源异构、知识获取困难等问题,通过研究基于本体的造林树种知识图谱的构建方法与应用场景,以期为造林领域提供一种更为有效的知识组织和表达方式。  方法  本文以造林树种相关知识为研究对象,以造林工作实际需求为出发点,通过与造林领域专家讨论交流,采用七步法构建了涵盖造林树种、病虫害、专家、机构、省份、应用产品、造林技术7类概念,树种别名、拉丁学名、林种类型等12种属性,分布、应用、研究等7种关系的造林树种本体模型,依据造林树种本体模型定义的实体、属性及关系构建了造林树种知识图谱,设计并实现基于造林树种知识图谱的相关知识应用。  结果  论文将知识图谱技术应用于造林树种实际场景完成了造林树种知识图谱的构建,实现了基于造林树种知识图谱的知识问答、知识可视化功能,为造林领域研究人员及工作者提供知识服务。此外,论文提出造林树种知识问答、GIS地图以及树种图片相结合的地图服务模式,搭建了造林树种地图服务平台,实现以“GIS地图 + 树种图片 + 文字描述”的方式表达造林树种在空间位置上的适宜性问题。  结论  论文构建的造林树种本体模型可为后续知识复用与知识共享提供数据支撑,基于知识图谱实现的知识问答、知识可视化以及GIS地图服务平台,有效地解决了林业知识多源异构、数据价值低、获取困难等问题,实现了领域信息资源从数据服务向知识服务的转变。后续研究需进一步扩充造林树种知识图谱的知识规模,探索更多基于知识图谱的应用场景,为林业发展与科学研究提供高质量的知识服务。

     

  • 图  1  造林树种知识图谱架构

    Figure  1.  Knowledge graph structure of afforestation tree species

    图  2  造林树种本体可视化

    图中不同颜色的图形分别代表本体模型的不同组成部分,用于区分实体、属性、属性值以及关系。 Different colors in the figure represent varied components of the ontology model and are used to distinguish concept, properties, attribute values, and relationship.

    Figure  2.  Ontology visualization of afforestation tree species

    图  3  依存句法分析结果

    Figure  3.  Dependency parsing results

    图  4  造林树种知识图谱可视化

    该图为造林树种知识图谱部分截图,本研究仅构建了中文知识图谱。This is a screenshot of the knowledge graph of afforestation tree species, and this study only constructs a Chinese knowledge graph.

    Figure  4.  Visualization of knowledge atlas of afforestation tree species

    图  5  造林树种知识问答系统实现流程

    Figure  5.  Knowledge question answering system of afforestation tree species

    图  6  造林树种知识问答界面

    该图为造林树种知识问答实际界面,目前仅搭建了中文界面。This figure is the Q&A interface of afforestation tree species knowledge, which is only in Chinese at present.

    Figure  6.  Knowledge Q&A interface for afforestation tree species

    图  7  造林树种地图服务

    该图为造林树种地图服务界面,目前仅搭建了中文界面。This figure is the service interface of afforestation tree species map, and currently, only the Chinese interface has been built.

    Figure  7.  Afforestation tree species map service

    表  1  定义本体概念

    Table  1.   Defining ontology concepts

    概念名称 Concept name释义 Paraphrase概念实例 Concept instance
    造林树种
    Afforestation tree species
    描述主要造林树种情况
    Describing the condition of main afforestation tree species
    胡杨、红松
    Populus euphratica, Pinus koraiensis
    应用产品
    Application product
    描述造林树种的用途及加工产品
    Describing the uses of afforestation species and processed products
    建材、家具
    Building materials, furniture
    省份
    Province
    描述树种、机构的分布情况
    Describing the distribution of tree species and structures
    北京、河南
    Beijing, Henan
    病虫害
    Diseases and pest
    描述造林树种的病虫害
    Describing the pests and diseases of tree species for afforestation
    白粉病、美国白蛾
    Powdery mildew, fall webworm
    造林技术
    Afforestation technology
    描述树种的育苗和造林方法
    Describing seedling and afforestation methods for tree species
    播种育苗、直播造林
    Raising seedling by sowing, direct seeding afforestation
    专家
    Expert
    描述造林树种的相关研究专家
    Describing the relevant experts of tree species for afforestation
    沈国舫、张守攻
    Shen Guofang, Zhang Shougong
    机构
    Organization
    描述研究专家的就职机构
    Describing the institution where the research specialist works
    北京林业大学
    Beijing Forestry University
    下载: 导出CSV

    表  2  定义概念属性

    Table  2.   Defining concept properties

    属性名称
    Property name
    定义域
    Domain
    值域类型
    Value domain type
    属性实例
    Property instance
    树种别名 Tree species alias 造林树种
    Afforestation tree species
    String 银杏−树种别名−白果 Ginkgo biloba-alias-ginkgo
    拉丁学名 Latin name 造林树种
    Afforestation tree species
    String 桑−拉丁学名−Morus alba Morus alba-latin name-Morus alba
    林种类型 Forest species type 造林树种
    Afforestation tree species
    String 茶树−林种类型−经济林
    Camellia sinensis-forest species type-economic forest
    生长类型 Growth type 造林树种
    Afforestation tree species
    String 红松−生长类型−常绿乔木
    Pinus koraiensis-growth type-evergreen tree
    属中文名
    Genus Chinese name
    造林树种
    Afforestation tree species
    String 水曲柳−属中文名−白蜡属
    Fraxinus mandschurica-genus Chinese name-Fraxinus
    学历 Academic degree 专家 Expert String 曹福亮−学历−博士研究生
    Cao Fuliang-academic degree-doctoral candidate
    技术职称 Technical title 专家 Expert String 王战−技术职称−研究员 Wang Zhan-technical title-researcher
    学术头衔 Academic title 专家 Expert String 刘旭−学术头衔−院士 Liu Xu-academic title-academician
    研究领域 Research field 专家 Expert String 张守攻−研究领域−森林培育
    Zhang Shougong-research field-forest cultivation
    机构类型 Organization type 机构 Organization String 南京林业大学−机构类型−高等院校
    Nanjing Forestry University-organization type-institutions of
    higher learning
    机构简称
    Organization abbreviation
    机构 Organization String 北京林业大学−简称−北林
    Beijing Forestry University-organization abbreviation-BL
    所属区域 Region 省份 Organization String 吉林−所属区域−东北地区 Jilin-region-northeast
    下载: 导出CSV

    表  3  定义概念间关系

    Table  3.   Defining relationship between concepts

    关系名称
    Relationship name
    定义域
    Define domain
    值域
    Value domain
    关系实例
    Relationship instance
    分布
    Distributed
    造林树
    Afforestation tree species
    省份
    Province
    油茶−分布−安徽
    Camellia oleifera-distributed-Anhui
    危害
    Harm
    病虫害
    Diseases and pest
    造林树种
    Afforestation tree species
    煤污病−危害−桤木
    Sooty mould-harm-Alnus cremastogyne
    研究
    Research
    专家
    Expert
    造林树种
    Afforestation tree species
    范辉华−研究−木荷
    Fan Huihua-research-Schima superba
    位于
    Located in
    机构
    Organization
    省份
    Province
    中国农业大学−位于−北京
    China Agricultural University-located in-Beijing
    应用
    Applied to
    造林树
    Afforestation tree species
    应用产品
    Application product
    香樟树−应用−家具
    Cinnamomum camphora-applied to-furniture
    就职
    Take office
    专家
    Expert
    机构
    Organization
    周以良−就职−东北林业大学
    Zhou Yiliang-take office-Northeast Forestry University
    采用
    Used in
    造林树种
    Afforestation tree species
    造林技术
    Afforestation technology
    水曲柳−采用−植苗造林
    Fraxinus mandschurica-used in-seedling afforestation
    下载: 导出CSV

    表  4  造林树种相关知识及其数量

    Table  4.   Relative knowledge and quantity of afforestation tree species

    类型 Type数量 Amount示例 Example
    造林树种 Afforestation tree species 453 红松、油茶 Pinus koraiensis, Camellia oleifera
    应用产品 Application product 61 家具、造纸 Furniture, papermaking
    省份 Province 34 北京、山东 Beijing, Shandong
    病虫害 Diseases and pest 181 苗木茎腐病、天牛科 Stem rot of seedlings, Cerambycidae
    造林技术 Afforestation technology 42 插条育苗、直播造林 Cutting seedling cultivation, direct seeding
    专家 Expert 523 沈国舫、曹福亮 Shen Guofang, Cao Fuliang
    机构 Organization 66 北京林业大学、南京林业大学 Beijing Forestry University, Nanjing Forestry University
    下载: 导出CSV

    表  5  问题类型模板

    Table  5.   Question type template

    标签 Label问题模板类型 Question template type问题举例 Example of question
    1 某实体 An entity 绿竹/油茶? Bambusa oldhamii or Camellia oleifera?
    2 某造林树种的拉丁学名 Latin name of an afforestation tree species 欧洲白榆的拉丁学名是什么? What is the Latin name of European white elm?
    3 某造林树种的别名 Alias for an afforestation tree species 文冠果的别名是什么? What is the alias of Xanthoceras sorbifolia?
    4 某造林树种的林种类型 Forest species type of an afforestation tree species 水曲柳的林种类型是什么? What is the forest species type of Fraxinus mandschurica
    5 某造林树种的生长类型 Growth type of an afforestation tree species 红松的生长类型是什么? What is the growth type of Pinus koraiensis
    6 某造林树种的属中文名 Genus Chinese name of an afforestation tree species 早竹的属名是什么? What is the genus name of Phyllostachys praecox?
    7 某专家的学历 Education background of an expert 曹福亮的学历? What’s the education background of Cao Fuliang?
    8 某专家的技术职称 Technical title of an expert 曹福亮的技术职称? What’s the technical title of Cao Fuliang?
    9 某专家的学术头衔 Academic title of an expert 曹福亮的学术头衔? What’s the academic title of Cao Fuliang?
    10 某专家的研究领域 Research field of an expert 曹福亮的研究领域? What’s the research field of Cao Fuliang?
    11 某机构的简称 Abbreviation of an organization 北京林业大学的简称? What’s the abbreviation of Beijing Forestry University?
    12 某机构的类型 Type of an organization 中国林业科学研究院的类型? What’s the type of Chinese Academy of Forestry?
    13 某省份的所属区域 The region of a province 北京的所属区域/华北地区包括哪些省市? Region of Beijing/which provinces and cities are included in the North China region?
    14 某造林树种的分布省份 The province an afforestation tree species is distributed 毛竹分布在哪/毛竹的适宜地/毛竹生长在哪些省份? Where is Phyllostachys edulis distributed/suitable location for Phyllostachys edulis/provinces where Phyllostachys edulis grows?
    15 某造林树种的应用产品 Application products of an afforestation tree species 油茶有哪些用途/应用产品? What is the use of Camellia oleifera/application products?
    16 某造林树种采用的技术 Techniques adopted for a certain afforestation tree species 蓝靛果可采用的育苗方法? What seedling raising methods can be used for Lonicera caerulea?
    17 某病虫害危害的树种 Tree species harmed by certain pests and diseases 白粉病危害的造林树种?/危害水杉的病虫害有哪些? Afforestation tree species affected by powdery mildew/What are the pests and diseases harming Metasequoia glyptostroboides?
    18 某专家研究的造林树种 Afforestation tree species studied by an expert 研究红松的专家有哪些?/哪些专家研究红松? Who are the experts studying Korean pine/Which experts study Pinus koraiensis?
    19 某专家的就职机构 Employment agency of an expert 沈国舫院士就职于? Where does academician Shen Guofang work?
    20 某机构的位置 Location of an organization 浙江省有哪些农林业机构?/北京林业大学在哪? What are the agricultural and forestry institutions in Zhejiang Province?/Where is Beijing Forestry University?
    21 专家1和专家2的就职机构 Employment institutions of expert 1 and expert 2 专家王湘南和张守攻的就职单位是什么? What are the employment units of experts Wang Xiangnan and Zhang Shougong?
    22 某机构的某专家研究的树种 Tree species studied by an expert from a certain institution 南京林业大学的曹福亮教授研究哪些树种? Which tree species does professor Cao Fuliang from Nanjing Forestry University study?
    23 某树种拉丁学名、用途、分布等 Latin name, use, distribution, etc of a tree species 红松和马尾松的拉丁学名是什么?共同的用途和分布省份? What are the Latin scientific names of Korean pine and masson pine? What are the common uses and distribution provinces of them?
    下载: 导出CSV
  • [1] 刘广平, 刘波, 滕轶. “智慧林业”时代的信息资源开发与利用探讨[J]. 林业资源管理, 2013(6): 33−36. doi: 10.3969/j.issn.1002-6622.2013.06.008

    Liu G P, Liu B, Teng Y. Information resource development and utilization in the wisdom forestry times[J]. Forest Resources Management, 2013(6): 33−36. doi: 10.3969/j.issn.1002-6622.2013.06.008
    [2] 李晓靖. 林业信息化建设难点及解决对策探讨[J]. 现代园艺, 2018(20): 222. doi: 10.3969/j.issn.1006-4958.2018.20.189

    Li X J. Discussion on difficulties and solutions of forestry informatization construction[J]. Xiandai Horticulture, 2018(20): 222. doi: 10.3969/j.issn.1006-4958.2018.20.189
    [3] 李毅, 彭岩, 徐林, 等. 林业资源共享服务平台建设关键技术及应用研究[J]. 中国林业产业, 2016(7): 143−144.

    Li Y, Peng Y, Xu L, et al. Research on key technology and application of forestry resource sharing service platform construction[J]. China Forestry Industry, 2016(7): 143−144.
    [4] 漆桂林, 高桓, 吴天星. 知识图谱研究进展[J]. 情报工程, 2017(1): 4−25. doi: 10.3772/j.issn.2095-915x.2017.01.002

    Qi G L, Gao H, Wu T X. The research advances of knowledge graph[J]. Technology Intelligence Engineering, 2017(1): 4−25. doi: 10.3772/j.issn.2095-915x.2017.01.002
    [5] Sowa J. Principles of Semantic Networks: exploration in the representation of knowledge[J]. Frame Problem in Artificial Intelligence, 1991, 2(3): 109−136.
    [6] Singhal A. Official google blog: introducing the knowledge graph: things, not strings[EB/OL]. [2021−09−15]. https://www.blog.google/products/search/introducing-knowledge-graph-things-not/.
    [7] 李涓子, 侯磊. 知识图谱研究综述[J]. 山西大学学报(自然科学版), 2017, 40(3): 454−459. doi: 10.13451/j.cnki.shanxi.univ(nat.sci.).2017.03.008

    Li J Z, Hou L. Reviews on knowledge graph research[J]. Journal of Shanxi University (Natural Science Edition), 2017, 40(3): 454−459. doi: 10.13451/j.cnki.shanxi.univ(nat.sci.).2017.03.008
    [8] Auer S, Bizer C, Kobilarov G, et al. DBpedia: a nucleus for a web of open data[C/OL]//The Semantic Web, 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference. Berlin: Springer, 2007: 722−735[2021−10−18]. http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTutorial/.
    [9] Niu X, Sun X R, Wang H F, et al. Zhishi. me-weaving Chinese linking open data[C]//Aroyo L. International Semantic Web Conference. Berlin: Springer, 2011: 205−220.
    [10] 王文广, 徐永林, 贺梦洁, 等. 基于知识图谱的通用知识问答系统: 体系与方法[J]. 新一代信息技术, 2020, 3(7): 38−47.

    Wang W G, Xu Y L, He M J, et al. Knowledge graph based universal question answering system: framework and methods[J]. New Generation of Information Technology, 2020, 3(7): 38−47.
    [11] Frber M. The microsoft knowledge graph: a linked data source with 8 billion triples of scholarly data[M]//Ghidini C, Hartig O, Maleshkova M, et al. The semantic web-ISWC 2019. Berlin: Springer, 2019: 113−129.
    [12] 车金立, 唐力伟, 邓士杰, 等. 基于百科知识的军事装备知识图谱构建与应用[J]. 兵器装备工程学报, 2019, 40(1): 148−153. doi: 10.11809/bqzbgcxb2019.01.031

    Che J L, Tang L W, Deng S J, et al. Construction and application of military equipment knowledge graph based on encyclopedia knowledge[J]. Journal of Ordnance Equipment Engineering, 2019, 40(1): 148−153. doi: 10.11809/bqzbgcxb2019.01.031
    [13] 阮彤, 孙程琳, 王昊奋, 等. 中医药知识图谱构建与应用[J]. 医学信息学杂志, 2016(4): 8−13. doi: 10.3969/j.issn.1673-6036.2016.04.002

    Ruan T, Sun C L, Wang H F, et al. Construction of traditional Chinese medicine knowledge graph and its application[J]. Journal of Medical Informatics, 2016(4): 8−13. doi: 10.3969/j.issn.1673-6036.2016.04.002
    [14] 陆伟, 戚越, 胡潇戈, 等. 图书馆自动问答系统的设计与实现[J]. 情报工程, 2019, 5(2): 5−16.

    Lu W, Qi Y, Hu X G, et al. Design and implementation of library automatic question answering system[J]. Technology Intelligence Engineering, 2019, 5(2): 5−16.
    [15] 中国中文信息学会语言与知识计算专业委员会. 知识图谱发展报告(2018)[R]. 北京: 中国中文信息学会, 2018.

    Chinese Information Processing Society of China, Committee on Language and Knowledge Computing. Knowledge graph development report(2018)[R]. Beijing: Chinese Information Processing Society of China, 2018.
    [16] 吴天星. 面向社交站点的双语知识图谱构建方法的研究[D]. 南京: 东南大学, 2018.

    Wu T X. Research on approaches to bilingual knowledge graph construction from social web sites[D]. Nanjing: Southeast University, 2018.
    [17] 俞思伟, 范昊, 王菲, 等. 基于知识图谱的智能医疗研究[J]. 医疗卫生装备, 2017, 38(3): 109−111.

    Yu S W, Fan H, Wang F, et al. Research on intelligent medicine based on knowledge graph[J]. Chinese Medical Equipment Journal, 2017, 38(3): 109−111.
    [18] 李代祎, 盛杰, 刘运星, 等. 基于知识图谱的军事武器问答系统[J]. 指挥信息系统与技术, 2020, 11(5): 58−65. doi: 10.15908/j.cnki.cist.2020.05.011

    Li D Y, Sheng J, Liu Y X, et al. Military weapon QA system based on knowledge graph[J]. Command Information System and Technology, 2020, 11(5): 58−65. doi: 10.15908/j.cnki.cist.2020.05.011
    [19] 陈亚东, 鲜国建, 寇远涛, 等. 我国苹果产业知识图谱构建研究[J]. 中国农业资源与区划, 2017, 38(11): 40−45. doi: 10.7621/cjarrp.1005-9121.20171106

    Chen Y D, Xian G J, Kou Y T, et al. Study on construction of knowledge graph of apple industry in China[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2017, 38(11): 40−45. doi: 10.7621/cjarrp.1005-9121.20171106
    [20] 夏迎春. 基于知识图谱的农业知识服务系统研究[D]. 合肥: 安徽农业大学, 2018.

    Xia Y C. Agriculture knowledge service system based on knowledge graph[D]. Hefei: Anhui Agricultural University, 2018.
    [21] 胡宸恺, 魏鑫, 姜国强, 等. 基于百科数据的林业知识图谱的构建与应用[J]. 智能计算机与应用, 2020, 10(10): 47−53. doi: 10.3969/j.issn.2095-2163.2020.10.012

    Hu C K, Wei X, Jiang G Q, et al. Construction and application of forestry knowledge graph based on encyclopedia data[J]. Intelligent Computer and Applications, 2020, 10(10): 47−53. doi: 10.3969/j.issn.2095-2163.2020.10.012
    [22] Chen Y, Kuang J, Cheng D, et al. AgriKG: an agricultural knowledge graph and its applications[M]//Orzechowska P. Complexity in polish phonotactics. Berlin: Springer, 2019.
    [23] 杨一帆. 钢结构领域知识图谱构建研究[D]. 北京: 北京交通大学, 2020.

    Yang Y F. Research on construction of knowledge map in steel structure[D]. Beijing: Beijing Jiaotong University, 2020.
    [24] 张梅, 郝佳, 阎艳, 等. 基于本体的知识建模技术[J]. 北京理工大学学报, 2010, 30(12): 1405−1408, 1431. doi: 10.15918/j.tbit1001-0645.2010.12.021

    Zhang M, He J, Yan Y, et al. Ontology-based knowledge modeling[J]. Transactions of Beijing Institute of Technology, 2010, 30(12): 1405−1408, 1431. doi: 10.15918/j.tbit1001-0645.2010.12.021
    [25] 王昊奋, 漆桂林, 陈华钧, 等. 知识图谱: 方法、实践与应用[M]. 北京: 电子工业出版社, 2019.

    Wang H F, Qi G L, Chen H J, et al. Knowledge graph: method, practice and application[M]. Beijing: Publishing House of Electronics Industry, 2019.
    [26] 郭梦莹, 周璐, 孙燕. “领域本体七步法”在中医辨证推理知识库构建中的应用[J]. 世界科学技术—中医现代化, 2019, 21(12): 2646−2651.

    Guo M Y, Zhou L, Sun Y. Application of “Domain Ontology Seven-step Method” in the knowledge base construction of TCM differentiation[J]. World Science and Technology— Modernization of Traditional Chinese Medicine, 2019, 21(12): 2646−2651.
    [27] 吴赛赛, 周爱莲, 谢能付, 等. 基于深度学习的作物病虫害可视化知识图谱构建[J]. 农业工程学报, 2020, 36(24): 177−185. doi: 10.11975/j.issn.1002-6819.2020.24.021

    Wu S S, Zhou A L, Xie N F, et al. Construction of visualization domain-specific knowledge graph of crop diseases and pests based on deep learning[J]. Transactions of the Chinese Society of Agricultural Engineering, 2020, 36(24): 177−185. doi: 10.11975/j.issn.1002-6819.2020.24.021
    [28] 高学攀, 杜楚, 吴金亮. 基于BiLSTM-CRF的军事命名实体识别方法[J]. 无线电工程, 2020, 50(12): 1050−1054. doi: 10.3969/j.issn.1003-3106.2020.12.007

    Gao X P, Du C, Wu J L. Research on method of military named entity recognition based on BiLSTM-CRF[J]. Radio Engineering, 2020, 50(12): 1050−1054. doi: 10.3969/j.issn.1003-3106.2020.12.007
    [29] 李灵芳, 杨佳琦, 李宝山, 等. 基于BERT的中文电子病历命名实体识别[J]. 内蒙古科技大学学报, 2020, 39(1): 71−77. doi: 10.16559/j.cnki.2095-2295.2020.01.015

    Li L F, Yang J Q, Li B S, et al. Named entity recognition of Chinese electronic medical record based on BERT[J]. Journal of Inner Mongolia University of Science and Technology, 2020, 39(1): 71−77. doi: 10.16559/j.cnki.2095-2295.2020.01.015
    [30] 杨穗珠, 刘艳霞, 张凯文, 等. 远程监督关系抽取综述[J]. 计算机学报, 2021, 44(8): 1636−1660. doi: 10.11897/SP.J.1016.2021.01636

    Yang S Z, Liu Y X, Zhang K W, et al. Survey on distantly-supervised relation extraction[J]. Chinese Journal of Computers, 2021, 44(8): 1636−1660. doi: 10.11897/SP.J.1016.2021.01636
    [31] 高源, 席耀一, 李弼程. 基于依存句法分析与分类器融合的触发词抽取方法[J]. 计算机应用研究, 2016, 33(3): 1407−1410. doi: 10.3969/j.issn.1001-3695.2016.05.029

    Gao Y, Xi Y Y, Li B C. Trigger extraction algorithm based on dependency parsing and classifier fusion[J]. Application Research of Computers, 2016, 33(3): 1407−1410. doi: 10.3969/j.issn.1001-3695.2016.05.029
    [32] Zhang H P, Yu H K, Xiong D Y, et al. HHMM-based Chinese lexical analyzer ICTCLAS[C]// Proceedings of the Second SIGHAN Workshop on Chinese Language Processing. Association for Computational Linguistics, 2003.
    [33] 阮彤, 王梦婕, 王昊奋, 等. 垂直知识图谱的构建与应用研究[J]. 知识管理论坛, 2016, 3(3): 226−234. doi: 10.13266/j.issn.2095-5472.2016.027

    Ruan T, Wang M J, Wang H F, et al. Construction and application of vertical knowledge graph[J]. Knowledge Management Forum, 2016, 3(3): 226−234. doi: 10.13266/j.issn.2095-5472.2016.027
    [34] Kolomiyets O, Moens M F. A survey on question answering technology from an information retrieval perspective[J]. Information Sciences, 2011, 181(24): 5412−5434. doi: 10.1016/j.ins.2011.07.047
    [35] Gao R X, Li C. Knowledge question-answering system based on knowledge graph of traditional Chinese medicine[C]// IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). New York: IEEE, 2020.
    [36] Li Q, Hao Z G, Yang L P. Question answering system based on food spot-check knowledge graph[C]// ICCDE 2020: the 6th International Conference on Computing and Data Engineering. Sanya: Association for Computing Machinery, 2020: 168−172.
    [37] Yuan S. Question answering system based on tourism knowledge graph[J]. Journal of Physics Conference Series, 2021, 1883(1): 12064. doi: 10.1088/1742-6596/1883/1/012064
    [38] 马晨浩. 基于甲状腺知识图谱的自动问答系统的设计与实现[J]. 智能计算机与应用, 2018, 8(3): 102−107. doi: 10.3969/j.issn.2095-2163.2018.03.024

    Ma C H. Design and implementation of automatic question answering system based on thyroid knowledge graph[J]. Intelligent Computer and Applications, 2018, 8(3): 102−107. doi: 10.3969/j.issn.2095-2163.2018.03.024
    [39] 张沪寅, 刘道波, 温春艳. 基于《知网》的词语语义相似度改进算法研究[J]. 计算机工程, 2015, 41(2): 151−156. doi: 10.3969/j.issn.1000-3428.2015.02.029

    Zhang H Y, Liu D B, Wen C Y. Research on improved algorithm of word semantic similarity based on HowNet[J]. Computer Engineering, 2015, 41(2): 151−156. doi: 10.3969/j.issn.1000-3428.2015.02.029
    [40] 周永梅, 陶红, 陈姣姣, 等. 自动问答系统中的句子相似度算法的研究[J]. 计算机技术与发展, 2012, 22(5): 75−78.

    Zhou Y M, Tao H, Chen J J, et al. Study on sentence similarity approach of automatic Ask & Answer system[J]. Computer Technology and Development, 2012, 22(5): 75−78.
    [41] 欧阳林男, 陈少雄, 张维耀, 等. 柠檬桉在中国的适生地理分布及其影响因子[J]. 生态学杂志, 2019, 38(2): 361−367. doi: 10.13292/j.1000-4890.201902.005

    Ouyang L N, Chen S X, Zhang W Y, et al. The suitable geographic range for Corymbia citriodora in China and the influencing factors[J]. Chinese Journal of Ecology, 2019, 38(2): 361−367. doi: 10.13292/j.1000-4890.201902.005
    [42] 任明兴, 袁宗珍. 造林规划设计中造林树种及密度选择分析[J]. 种子科技, 2016, 34(9): 88. doi: 10.3969/j.issn.1005-2690.2016.09.060

    Ren M X, Yuan Z Z. Selection of tree species and density in afforestation planning and design[J]. Seed Science and Technology, 2016, 34(9): 88. doi: 10.3969/j.issn.1005-2690.2016.09.060
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出版历程
  • 收稿日期:  2021-09-28
  • 修回日期:  2022-06-21
  • 网络出版日期:  2023-07-26
  • 刊出日期:  2023-08-25

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