Title :
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
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;
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3835-3
DOI :
10.1109/ICICES.2014.7033845
