Scalable and noise tolerant web knowledge extraction for search task simplification-Reference-Cited by-同舟云学术

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Scalable and noise tolerant web knowledge extraction for search task simplification

Published:2013-12 Issue: Volume:56 Page:156-167
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

He Jun,Gu Yingqin,Liu Hongyan,Yan Jun,Chen Hong

Funder

973 program of China

National Social Science Fund of China

National Natural Science Foundation of China

Microsoft Research Asia

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference34 articles.

1. Extracting structured data from web pages;Arasu,2003

2. Automatic annotation of data extracted from large web sites;Arlotta,2003

3. Open information extraction from the web;Banko,2007

4. Highly efficient algorithms for structural clustering of large websites;Blanco,2011

5. Extracting patterns and relations from the World Wide Web;Brin,1998

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1. Knowledge graph-based approach to trace the full life cycle information of decommissioned electromechanical products;2022 IEEE 18th International Conference on Automation Science and Engineering (CASE);2022-08-20

2. A Hybrid Information Construction Model on Factor Space and Extenics;Procedia Computer Science;2017

3. A Multi-strategy Learning Approach to Competitor Identification;Semantic Technology;2015

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