from    
to    
search  

 


Fueling the Future
清华大学材料科学与工程研究院《材料科学论坛》:Physical and data-driven modell...
基于新型卤化物的高时空分辨X射线探测器
清华2024高分子前沿讲座:光控液晶聚合物的刚弹转变
报告题目:
Integrating and Accessing Multilingual Content Across Different Modalities
 报告人:
Rudi Studer
Professor, Institutes AIFB/KSRI, Karlsruhe Institute of 
Tech-nology & FZI Research Center for Information 
Technology, Karlsruhe, Germany
报告时间:
2015-01-12 11:00
报告地点:
FIT 1-315
主办单位:
计算机系
  简介:

Rudi Studer is Full Professor in Applied Informatics at the Karlsruhe Institute of Technology (KIT), Institute AIFB. In addition, he is director at the Karlsruhe Service Research Institute (KSRI) as well as at the FZI Research Center for Information Technology. His research interests include knowledge management, semantic web technologies and applications, data and text mining, big data and service engineering. He obtained a Diploma in Computer Science at the University of Stuttgart in 1975. In 1982 he was awarded a Doctor's degree in Mathematics and Informatics at the university of Stuttgart, and in 1985 he obtained his Habilitation in Informatics at the University of Stuttgart. From 1985 to 1989 he was project leader and manager at the Scientific Center of IBM Germany. He is involved in various national projects, among others the Trans-regional Collaborative Research Centre 'Cognition-Guided Surgery' and international cooperation projects, among others the EU projects XLike (Cross-lingual Knowledge Extraction) and xLiMe (Cross-lingual and Cross-media Knowledge Extraction) as well as Proasense (the Proactive Sensing Enterprise) and i-VISION (Immersive Semantics-based Virtual Environments). He is a member of the advisory board of IEEE Intelligent Systems as well as a fellow of Semantic Technologies Institute International.

Abstract: The integrated management of digital media poses a variety of challenges: it may be available at different locations, disparate, come in multiple natural languages, and occur in different modalities. With scenarios covering sensor data, social media, online news, and television, we will demonstrate a tool box of semantic and machine-learning methods to extract machine-readable knowledge from multilingual, multimedia and social media content and integrate it with cross-lingual, cross-media knowledge bases. The discussed methods include real-time integration and reasoning as well as semantic annotation, semantic search, and entity summarization. In the beginning, we will outline selected research activities at Institutes AIFB and KSRI at KIT as well as at FZI.

今日相关信息
材料院《材料科学论坛》:Multi-Scale C...
 
同类别相关信息
2020清华国家形象论坛——人类命运共同...
矩阵乘法的计算复杂度
大规模图数据分析技术:挑战与机遇
人工智能在各行业应用的思考
学堂班系列讲座:2D materials for ne...
学术活动