A tool for creating and visualizing semantic annotations on relational tables

MAZUMDAR, Suvodeep and ZHANG, Ziqi (2016). A tool for creating and visualizing semantic annotations on relational tables. In: GENTILE, Anna Lisa, D'AMATO, Claudia, ZHANG, Ziqi and PAULHEIM, Heiko, (eds.) LD4IE 2016 : Linked data for information extraction : Proceedings of the Fourth International Workshop on Linked Data for Information Extraction co-located with 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan, October 18, 2016. CEUR Workshop Proceedings . CEUR Workshop Proceedings, 2-10.

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Official URL: http://ceur-ws.org/Vol-1699/paper-02.pdf

Abstract

Semantically annotating content from relational tables on the Web is a crucial task towards realizing the vision of the Semantic Web. However, there is a lack of open source, user-friendly tools to facilitate this. This paper describes an extension of the TableMiner+ system, an open source Semantic Table Interpretation system that automatically annotates Web tables using Linked Data in an effective and effi�cient 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 relational tables, which facilitates the publication of Linked Data on the Web.

Item Type: Book Section
Additional Information: Paper presented at the LD4IE, the Fourth International Workshop on Linked Data for Information Extraction co-located with 15th International Semantic Web Conference ISWC, Kobe, Japan, October 18, 2016. Series ISSN : 1613-0073
Departments: Faculty of Science, Technology and Arts > Computing
Related URLs:
Depositing User: Suvodeep Mazumdar
Date Deposited: 19 Jan 2018 13:17
Last Modified: 27 Jan 2018 21:29
URI: http://shura.shu.ac.uk/id/eprint/16910

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