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Linker-Mediated Assembly: from Colloidal LEGOs to COVID Testing
Chemical Biopsy Probe, a Tool for Next Generation of Analytical Chemists
清华2024高分子前沿讲座 高分子微球的研究和工业应用【报告取消】
新型核酸药物开发和生物医学应用
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.

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