VIPReader: A Light News Reader for the Visually Impaired Person

Author

Mengmeng Ye ; Ping Li ; Qing Li

Author_Institution

Sch. of Econ. Inf. Eng., Southwestern Univ. of Finance & Econ., Chengdu, China

Volume

2

fYear

2014

fDate

11-14 Aug. 2014

Firstpage

282

Lastpage

287

Abstract

Nowadays, the whelming online news information often bewilders the readers, especially the visually impaired persons, who, instead of reading, listen to news articles line by line with the help of a screen reader. Therefore, to improve the news accessibility of these people, we develop a news reader (VIPReader) to assist them with two unique functions, i.e., Multi-document summarisation and ontology-based recommendation. In particular, the summarisation engine of VIPReader generates a summary across several relevant documents to assist a quick view for visually impaired people, and its ontology-based recommendation engine suggests relevant news to visually impaired readers based on concepts of news and user preference. Experiments on visually impaired people show the easy information accessibility of the proposed VIPReader.

Keywords

electronic publishing; handicapped aids; ontologies (artificial intelligence); recommender systems; VIPReader; light news reader; multidocument summarization engine; online news information; ontology-based recommendation engine; user preference; visually impaired person; Browsers; Educational institutions; Engines; Mobile communication; Navigation; Ontologies; Search engines; multi-document summarisation; news reader; ontology-based news recommendation; visually impaired;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014 IEEE/WIC/ACM International Joint Conferences on

Conference_Location

Warsaw

Type

conf

DOI

10.1109/WI-IAT.2014.109

Filename

6927636