GENTILE, Anna Lisa and MAZUMDAR, Suvodeep (2014). User driven information extraction with LODIE. In: HORRIDGE, Matthew, ROSPOCHER, Marco and VAN OSSENBRUGEN, Jacco, (eds.) Proceedings of the ISWC 2014 Posters & Demonstrations Track. CEUR Workshop Proceedings (1272). CEUR Workshop Proceedings, 385-388.
|
PDF
Mazumdar-UserDrivenInformationExtraction(VoR).pdf - Published Version Creative Commons Public Domain Dedication. Download (967kB) | Preview |
Abstract
Information Extraction (IE) is the technique for transforming unstructured or semi-structured data into structured representation that can be understood by machines. In this paper we use a user-driven Information Extraction technique to wrap entity-centric Web pages. The user can select concepts and properties of interest from available Linked Data. Given a number of websites containing pages about the concepts of interest, the method will exploit (i) recurrent structures in the Web pages and (ii) available knowledge in Linked data to extract the information of interest from the Web pages.
Item Type: | Book Section |
---|---|
Additional Information: | Poster/Paper originally presented at the 2014 International Conference on Posters & Demonstrations Track : 13th International Semantic Web Conference, Riva del Garda, Italy, October 21, 2014. Book series ISSN : 1613-0073 |
Departments - Does NOT include content added after October 2018: | Faculty of Science, Technology and Arts > Department of Computing |
Page Range: | 385-388 |
Depositing User: | Suvodeep Mazumdar |
Date Deposited: | 19 Jan 2018 11:39 |
Last Modified: | 18 Mar 2021 15:48 |
URI: | https://shura.shu.ac.uk/id/eprint/16897 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year