Post on 20-Jan-2016
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
see comprehensive list in
Fabian Suchanek and Gerhard Weikum:Knowledge Bases in the Age of Big Data AnalyticsProceedings of the 40th International Conferenceon Very Large Databases (VLDB), 2014
References
2http://resources.mpi-inf.mpg.de/yago-naga/vldb2014-tutorial/
Take-Home Message
WebContents
Knowledge
knowledgeacquisition
intelligentinterpretation
more knowledge, analytics, insight