Optimising Google's Knowledge Graph - #SMX Munich
Outline Introduction to the work Motivation WebTables Relation Recovery – Relational Filtering – Metadata recovery Attribute Correlation Statistics Database.
WebTables: Exploring the Power of Tables on the Web Michael J. Cafarella, University of Washington (presently with University of Michigan) Alon Halevy,
Topic-Sensitive SourceRank: Agreement Based Source Selection for the Multi-Topic Deep Web Integration Manishkumar Jha Raju Balakrishnan Subbarao Kambhampati.
SourceRank: Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement Raju Balakrishnan, Subbarao Kambhampati Arizona State University.
Michael J. Cafarella, Alon Halevy, Daisy Zhe Wang, Eugene Wu, Yang Zhang Presented by : Kevin Quadros CSE Department University at Buffalo WebTables: Exploring.
Introduction Age of big data: – Availability of massive amounts of data is driving many technical advances on the web and off – The web is traditionally.
SourceRank : Relevance and Trust Assessment for Deep Web Sources Based on Inter-Source Agreement
Topic-Sensitive SourceRank: Agreement Based Source Selection for the Multi-Topic Deep Web Integration
WebTables : Exploring the Power of Tables on the Web
