Linked Data for Web Scale Information Extraction

Tutorial webpage

http://oak.dcs.shef.ac.uk/wsie2013/index.html

Presenters

• Anna Lisa Gentile (Department of Computer Science, University of Sheffield)
• Ziqi Zhang (Department of Computer Science, University of Sheffield)

Abstract

This tutorial analyses open challenges for Web-scale Information Extraction (IE) and introduces the usage of Linked Data (LD) for the task. Linked Data has grown to a gigantic knowledge base, which, as of 2013, comprised 31 billion triples in 295 datasets (http://lod-cloud.net/state/). Such resources can become invaluable resources to train Web-scale IE and natural language tasks because they are very large scale and covering multiple domains. This tutorial will show how to exploit LD for IE and will explore IE techniques able to scale at web level. We will particularly focus on the tasks of Wrapper Induction and Table Interpretation.

Tuesday - Oct 22 - SMC