Tools
Tools
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.
|
PDF
Mazumdar-ToolForCreatingAndVisulizingSemantic(VoR).pdf - Published Version All rights reserved. Download (2MB) | Preview |
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 - Does NOT include content added after October 2018: | Faculty of Science, Technology and Arts > Department of Computing |
| Page Range: | 2-10 |
| Depositing User: | Suvodeep Mazumdar |
| Date Deposited: | 19 Jan 2018 13:17 |
| Last Modified: | 18 Mar 2021 00:25 |
| URI: | https://shura.shu.ac.uk/id/eprint/16910 |
Actions (login required)
 |
View Item |
Downloads
Downloads per month over past year