AI在图情:人工智能赋能图情服务——2019年图书馆前沿技术论坛(IT4L)会议综述

吕璐成, 韩涛

农业图书情报学报. 2020, 32(5): 13-18

PDF(2417 KB)
PDF(2417 KB)
农业图书情报学报 ›› 2020, Vol. 32 ›› Issue (5) : 13-18. DOI: 10.13998/j.cnki.issn1002-1248.2019.10.17-0912
特约综述

AI在图情:人工智能赋能图情服务——2019年图书馆前沿技术论坛(IT4L)会议综述

  • 吕璐成1,2, 韩涛1
作者信息 +

Artificial Intelligence Empowers Library and Information Service ——Review of Forums about Information Technology for Library 2019

  • LYU Lucheng1,2, HAN Tao1
Author information +
History +

摘要

[目的/意义]针对2019年8月12日—13日在上海图书馆举办的以“AI在图情:人工智能赋能图情服务”为主题的2019年图书馆前沿技术论坛(IT4L)的会议内容进行梳理和总结,为图情从业者和相关研究人员提供参考和借鉴。[方法/过程] 根据与会专家的报告主题进行分类归纳和内容综述。[结果/结论] 专家报告内容包括3方面:人工智能重构知识服务基础设施、人工智能丰富知识服务的方法手段和人工智能升级知识服务的服务形式。

Abstract

[Purpose / Significance] the conference of Forums about Information Technology for Library (IT4L) held in Shanghai Library on August 12-13, 2019 with the theme of "Artificial Intelligence Empowers Library and Information Service". library and information service practitioners and relevant researchers. [Method / Process] The conference was reviewed based on the classification and summarization of expert reports. [Results / Conclusions] The conference covered the following three topics: AI reconstructing knowledge service infrastructure, the methods and means of AI enriching knowledge service and AI upgrading the service forms of knowledge service.

关键词

知识服务 / 人工智能 / 深度学习 / 知识图谱 / 数字人文

Key words

knowledge service / artificial intelligence / deep learning / knowledge graph / digital humanities

引用本文

导出引用
吕璐成, 韩涛. AI在图情:人工智能赋能图情服务——2019年图书馆前沿技术论坛(IT4L)会议综述. 农业图书情报学报. 2020, 32(5): 13-18 https://doi.org/10.13998/j.cnki.issn1002-1248.2019.10.17-0912
LYU Lucheng, HAN Tao. Artificial Intelligence Empowers Library and Information Service ——Review of Forums about Information Technology for Library 2019. Journal of Library and Information Sciences in Agriculture. 2020, 32(5): 13-18 https://doi.org/10.13998/j.cnki.issn1002-1248.2019.10.17-0912

参考文献

[1] 高飞,阳春华,兰旭光,等.人工智能的回顾与展望[J].中国科学基金,2018,32,146(3):5-12.
[2] 孙宇. 2013年图书馆前沿技术论坛(IT4L):“资源发现之旅”研讨会综述[J].数字图书馆论坛,2013(7):68-70.
[3] 孙坦,刘峥,崔运鹏,等.融合知识组织与认知计算的新一代开放知识服务架构探析[J].中国图书馆学报,2019,45(3):38-48.
[4] Zhang Yingyi, Zhang Chengzhi, Li Jing.Joint modeling of characters, words, and conversation contexts for microblog keyphrase extraction[J]. Journal of the Association for Information Science and Technology,2019.
[5] Zhang, Yingyi, Zhang, Chengzhi.Using human attention to extract keyphrase from microblog post[C].Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL2019). Florence Itlay 2019.
[6] Dong H, Wang W, Huang Kaizhu, et al.Joint multi-label attention networks for social text annotation[C].Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Minnesota, 2019. Association for Computational Linguistics,2019:1348-1354.
[7] 刘旭晖. 云环境下高校图书馆智慧管理系统模型构建与功能实现[J].农业图书情报,2019,31(10):46-53.
[8] 欧阳剑,彭松林,李臻.数字人文背景下图书馆人文数据组织与重构[J].图书情报工作,2019,63(11):15-24.
[9] 田野. 区块链环境下的异构政府数据语义共享机制研究[J].农业图书情报学报,2020,32(1):12-22.
PDF(2417 KB)

文章所在专题

热点综述

45

Accesses

0

Citation

Detail

段落导航
相关文章

/