An Open-Domain Question Answering System Using Annotated Web Feeds.

Open Domain Question Answering Systems (ODQA) aim to answer all possible questions, regardless of topic and time. For this to be possible, most current ODQA systems depend on the World Wide Web through search engines, e.g. Google, which provide an abundance of information. Problem arises when sear...

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Main Authors: Ismail, Bukhary Ikhwan, Cheah, Yu N
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
Online Access:http://eprints.usm.my/9398/
http://eprints.usm.my/9398/1/An_Open-Domain_Question_Answering_System_Using_Annotated_Web_Feeds.pdf
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author Ismail, Bukhary Ikhwan
Cheah, Yu N
author_facet Ismail, Bukhary Ikhwan
Cheah, Yu N
author_sort Ismail, Bukhary Ikhwan
building USM Institutional Repository
collection Online Access
description Open Domain Question Answering Systems (ODQA) aim to answer all possible questions, regardless of topic and time. For this to be possible, most current ODQA systems depend on the World Wide Web through search engines, e.g. Google, which provide an abundance of information. Problem arises when search engines require a few days to crawl, archive and index the latest documents depending on the popularity of the website and the search engine's indexing efficiency. Thus, recent information may not be available as soon as it is published. Our work focuses on capturing and populating current news articles from various trusted resources into a single unified repository. We have implemented a prototype which uses Web 2.0 RSS feed technology to capture the information. This includes an interface which allows other question answering systems to access our repository using various formats' e.g. XML and SQL query. We have also implemented a question answering engine which employs keyword detection, query expansion and rule matching.
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format Conference or Workshop Item
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institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T15:29:05Z
publishDate 2007
recordtype eprints
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spelling usm-93982013-07-13T04:08:38Z http://eprints.usm.my/9398/ An Open-Domain Question Answering System Using Annotated Web Feeds. Ismail, Bukhary Ikhwan Cheah, Yu N QA75.5-76.95 Electronic computers. Computer science Open Domain Question Answering Systems (ODQA) aim to answer all possible questions, regardless of topic and time. For this to be possible, most current ODQA systems depend on the World Wide Web through search engines, e.g. Google, which provide an abundance of information. Problem arises when search engines require a few days to crawl, archive and index the latest documents depending on the popularity of the website and the search engine's indexing efficiency. Thus, recent information may not be available as soon as it is published. Our work focuses on capturing and populating current news articles from various trusted resources into a single unified repository. We have implemented a prototype which uses Web 2.0 RSS feed technology to capture the information. This includes an interface which allows other question answering systems to access our repository using various formats' e.g. XML and SQL query. We have also implemented a question answering engine which employs keyword detection, query expansion and rule matching. 2007-06 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/9398/1/An_Open-Domain_Question_Answering_System_Using_Annotated_Web_Feeds.pdf Ismail, Bukhary Ikhwan and Cheah, Yu N (2007) An Open-Domain Question Answering System Using Annotated Web Feeds. In: International Conference On Electrical Engineering And Informatics (ICEEI 2007), 17-19 June 2007, Bandung , Indonesia .
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Ismail, Bukhary Ikhwan
Cheah, Yu N
An Open-Domain Question Answering System Using Annotated Web Feeds.
title An Open-Domain Question Answering System Using Annotated Web Feeds.
title_full An Open-Domain Question Answering System Using Annotated Web Feeds.
title_fullStr An Open-Domain Question Answering System Using Annotated Web Feeds.
title_full_unstemmed An Open-Domain Question Answering System Using Annotated Web Feeds.
title_short An Open-Domain Question Answering System Using Annotated Web Feeds.
title_sort open-domain question answering system using annotated web feeds.
topic QA75.5-76.95 Electronic computers. Computer science
url http://eprints.usm.my/9398/
http://eprints.usm.my/9398/1/An_Open-Domain_Question_Answering_System_Using_Annotated_Web_Feeds.pdf