Multimedia questions and answering using web data mining

Author

Bhaskar, D. Bavarva ; Singh, Dheeraj Kumar

Author_Institution

Comput. Eng. Dept., Parul Inst. of Eng. & Technol., Vadodara, India

fYear

2014

fDate

27-28 Feb. 2014

Firstpage

1

Lastpage

4

Abstract

A large amount of information returned by the web search engines like google, yahoo etc.Users become overloaded to find the correct information from the web. Question Answering (QA)approach solves these problems. Instead of returning a list of document from the current search engine, QA system provides information from a comprehensive set of well answered question with appropriate media data. QA aims to leverage in depth linguistic and media content analysis as well as domain knowledge to return precise answers to natural language questions. This paper briefly surveys the progress of multimedia question answering (MMQA) research and details its future directions.

Keywords

Internet; data mining; multimedia systems; question answering (information retrieval); search engines; Google; MMQA research; QA system; Web data mining; Web search engines; Yahoo; domain knowledge; linguistic content analysis; media content analysis; media data; multimedia questions and answering; natural language questions; question answering approach; Communities; Knowledge discovery; Media; Multimedia communication; Presses; Search engines; Streaming media; question answering;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Communication and Embedded Systems (ICICES), 2014 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4799-3835-3

Type

conf

DOI

10.1109/ICICES.2014.7033845

Filename

7033845