Visualizing semantic table annotations with TableMiner+

MAZUMDAR, Suvodeep and ZHANG, Ziqi (2016). Visualizing semantic table annotations with TableMiner+. In: KAWAMURA, Takahiro and PAULHEIM, Heiko, (eds.) ISWC-P&D 2016 : ISWC 2016 Posters & Demonstrations Track : Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016). Kobe, Japan, October 19, 2016. CEUR Workshop Proceedings . CEUR Workshop Proceedings.

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Official URL: http://ceur-ws.org/Vol-1690/paper88.pdf

Abstract

This paper describes an extension of the TableMiner+ sys- tem, an open source Semantic Table Interpretation system that annotates Web tables using Linked Data in an effective and e�fficient approach. It adds a graphical user interface to TableMiner+, to facilitate the visualization and correction of automatically generated annotations. This makes TableMiner+ an ideal tool for the semi-automatic creation of high-quality semantic annotations on tabular data, which facilitates the publication of Linked Data on the Web.

Item Type: Book Section
Additional Information: Paper originally presented at the International Semantic Web Conference (Posters & Demos). Book series ISSN : 1613-0073
Departments: Faculty of Science, Technology and Arts > Computing
Depositing User: Suvodeep Mazumdar
Date Deposited: 19 Jan 2018 14:05
Last Modified: 27 Jan 2018 21:29
URI: http://shura.shu.ac.uk/id/eprint/16909

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