1. Summary Knowledge Bases from Web are Real, Big & Useful: Entities, Classes & Relations Key Asset for Intelligent Applications: Semantic Search, Question Answering, Machine Reading, Digital Humanities, Text&Data Analytics, Summarization, Reasoning, Smart Recommendations, … Harvesting Methods for Entities & Classes Taxonomies Methods for extracting Relational Facts NERD & ER: Methods for Contextual & Linked Knowledge Rich Research Challenges & Opportunities: scale & robustness; temporal, multimodal, commonsense; open & real-time knowledge discovery; … Models & Methods from Different Communities: DB, Web, AI, IR, NLP 1

2. see comprehensive list in Fabian Suchanek and Gerhard Weikum: Knowledge Bases in the Age of Big Data Analytics Proceedings of the 40 th International Conference on Very Large Databases (VLDB), 2014 References 2 http://resources.mpi-inf.mpg.de/yago-naga/vldb2014-tutorial/

3. Take-Home Message Web Contents Knowledge knowledge acquisition intelligent interpretation more knowledge, analytics, insight