Title :
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
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;
Conference_Titel :
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014 IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Warsaw
DOI :
10.1109/WI-IAT.2014.109
