Tabular Search Project

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has title::Tabular Search
status: finished
Student name: student name::Bas Raven
Dates
Start start date:=2013/09/18
End end date:=2014/05/23
Supervision
Supervisor: Paul Groth
Second reader: has second reader::Stefan Schlobach
Company: has company::VU
Thesis: has thesis::Media:Master_Thesis_Bas_Raven.pdf
Poster: has poster::Media:Posternaam.pdf

Signature supervisor



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Abstract

Project description

This project researches if it is possible to automatically populate a table that only contains header information. The header information is provided through an intuitive user interface, which facilitates the easy access of the semantic web. The goal of the project is to fill the table automatically through semantic reasoning based on the provided headers. It is an improvement on research from for example [1], who gathered information through pre-indexed tables extracted from the web.

[1] Rahul Gupta and Sunita Sarawagi. Answering table augmentation queries from un- structured lists on the web. Proc. VLDB Endow., 2(1):289–300, August 2009. ISSN 2150-8097. URL http://dl.acm.org/citation.cfm?id=1687627.1687661.


Research Question

The project answers the following research question: "To what extent can we enable the construction of tables from the semantic web using tabular search?"