Learning to query: Focused web page harvesting for entity aspects

Learning to query: Focused web page harvesting for entity aspects

As the Web hosts rich information about real-world entities, our information quests become increasingly entity centric. In this paper, we study the problem of focused harvesting of Web pages for entity aspects, to support downstream applications such as business analytics and building a vertical por...

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Bibliographic Details
Main Authors: FANG, Yuan, ZHENG, Vincent W., CHANG, Kevin Chen-Chuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
Harvesting
Websites
business analytics
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/4066
https://ink.library.smu.edu.sg/context/sis_research/article/5069/viewcontent/icde16_l2q.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4066
https://ink.library.smu.edu.sg/context/sis_research/article/5069/viewcontent/icde16_l2q.pdf

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