模式识别国家重点实验室
中国科学院自动化研究所   设为首页  加入收藏  联系我们
 
English
网站首页      实验室概况      研究队伍      组织机构      学术交流      科研成果      人才培养      开放课题      创新文化      资源共享      联系我们
    学术讲座

From Language to Knowledge, and Back

模式识别学术大讲堂
Advanced Lecture Series in Pattern Recognition
题    目 (TITLE):From Language to Knowledge, and Back
讲 座 人 (SPEAKER):Prof. Gerhard Weikum (Saarland University)
主 持 人 (CHAIR):Prof. Jun Zhao
时    间 (TIME):September 20 (Tuesday), 2016, 9:00 AM
地    点 (VENUE):No.1 Conference Room (3rd floor), Intelligence Building
 
报告摘要(ABSTRACT):
Machines with comprehensive knowledge of the world's entities and their relationships has been a long-standing vision and challenge of AI. In the last decade, huge knowledge bases (aka. knowledge graphs) have been automatically constructed from web data and text sources, and have become a key asset for search, analytics, recommendations and data integration. This digital knowledge can be harnessed to semantically interpret textual phrases in news, social media and web tables, contributing to natural language processing and data analytics. This talk reviews these advances and discusses new opportunities and future challenges.
 
报告人简介(BIOGRAPHY):
Gerhard Weikum is a Scientific Director at the Max Planck Institute for Informatics in Saarbruecken, Germany, and an Adjunct Professor at Saarland University. His research spans transactional and distributed systems, self-tuning database systems, integration of data and text, and the automatic construction of knowledge bases. He co-authored a comprehensive textbook on transactional systems, received the VLDB Test-of-Time Award for his work on automatic database tuning, and is one of the creators of the YAGO knowledge base. Weikum is an ACM Fellow and a member of several academies in Europe. He has served on various editorial boards and as PC chair of conferences like SIGMOD, ICDE and CIDR. He received the ACM SIGMOD Contributions Award in 2011, an ERC Synergy Grant in 2013, and the ACM SIGMOD Edgar F. Codd Innovations Award in 2016.

友情链接
 
中科院自动化研究所 模式识别国家重点实验室
NLPR, INSTITUTE OF AUTOMATION, CHNESE ACADEMY OF SCIENCES