Disambiguating named entities by semantic web
- 10.2991/csss-14.2014.173How to use a DOI?
- linked open data, named entity disambiguation, natural language processing, semantic web
There are many words in natural language sentences which describe an object or event in real world. An important step to understand a sentence is finding the exact meaning of all words. In this paper we propose an approach to identify meaning of each named entity of a text by using web of data (LOD) as a large scale knowledge base. The proposed approach is referencing named entities to suitable URIs of web of data. It compares the context of the text with RDF graphs retrieved from the web and then select URIs which have maximum agreement with named entities of the text. Experimental Results show that our approach outperforms previous works in terms of accuracy and Precision on Wikipedia articles.
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Azari Ideh AU - Koohpeyma Fateme PY - 2014/06 DA - 2014/06 TI - Disambiguating named entities by semantic web BT - Proceedings of the 3rd International Conference on Computer Science and Service System PB - Atlantis Press SP - 741 EP - 744 SN - 1951-6851 UR - https://doi.org/10.2991/csss-14.2014.173 DO - 10.2991/csss-14.2014.173 ID - Ideh2014/06 ER -