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MI-WDIS: web data integration system for market intelligence

Authors:

Xiuxing XuAuthors Info & Claims

CIKM '10: Proceedings of the 19th ACM international conference on Information and knowledge management

Pages 1957 - 1958

https://doi.org/10.1145/1871437.1871783

Published: 26 October 2010 Publication History

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Abstract

As an important supporting technology of Market Intelligence (MI), Web data integration is facing new challenges, such as the integrity of data acquisition, the quality of data extraction and data consolidation. To solve such problems, we propose an MI-oriented web data integration system (MI-WDIS), which achieves excellent performances in integrating Surface Web and Deep Web data with much less manual work. Based on MI-WDIS, we have developed a platform for intelligent analysis of job data. The platform collects tens of thousands of job data daily and provides personalized services for job seekers through diversified channels. Besides, it provides other advanced services, including intelligence analysis, automatic monitoring and alerting, for various organizations, such as enterprises, training institutions and recruitment agencies.

References

[1]

Wikipedia. Entry: Market Intelligence, 2009.

Google Scholar

[2]

Xiuxing Xu, Qingzhong Li et al. Dynamically Constructing a Global Schema for Web Entities. WISA 2010, Neimenggu, China, August 2010.

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Google Scholar

[3]

Yongquan Dong, Qingzhong Li et al. A Query Interface Matching Approach Based on Extended Evidence Theory for Deep Web. J. Comput. Sci. Tech. 2010, 25(3): 537--547.

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Google Scholar

[4]

Yanhui Ding, Qingzhong Li et al. Semantic Annotation of Web Data based on Ensemble Learning and 2D Correlative-Chain Conditional Random Fields. J. Comput. Sci. Tech. 2010, 33(2): 267--278.

Google Scholar

[5]

Yongquan Dong, Qingzhong Li et al. Semantic Annotation of Web Objects using Constrained Conditional Random Fields. WAIM 2010, Sichuan, China, July 2010, pp.28--39.

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[6]

Yongquan Dong, Qingzhong Li et al. A Robust Approach of Automatic Web Data Record Extraction. Journal of Computer Information Systems. 2009, 5(6): 1757--1766.

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Cited By

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Osial PKauranen KAhmed E(2017)Smartphone recommendation system using web data integration techniques2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)10.1109/CCECE.2017.7946845(1-5)Online publication date: Apr-2017
https://doi.org/10.1109/CCECE.2017.7946845
Zhang YLi QZhang Y(2013)Enrich Web Entity Schema Based on Integrated AnnotationProceedings of the 2013 10th Web Information System and Application Conference10.1109/WISA.2013.37(153-158)Online publication date: 10-Nov-2013
https://dl.acm.org/doi/10.1109/WISA.2013.37

Index Terms

MI-WDIS: web data integration system for market intelligence
1. Information systems
  1. Information retrieval
  2. World Wide Web
    1. Web applications
    2. Web services

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Information & Contributors

Information

Published In

CIKM '10: Proceedings of the 19th ACM international conference on Information and knowledge management

October 2010

2036 pages

ISBN:9781450300995

DOI:10.1145/1871437

General Chair:
Jimmy Huang
York University, Canada
,
Program Chairs:
Nick Koudas
University of Toronto, Canada
,
Gareth Jones
Dublin City University, Ireland
,
Xindong Wu
University of Vermont, USA
,
Kevyn Collins-Thompson
Microsoft Research, USA
,
Aijun An
York University, Canada

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2010

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CIKM '10

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CIKM '10: International Conference on Information and Knowledge Management

October 26 - 30, 2010

ON, Toronto, Canada

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

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Osial PKauranen KAhmed E(2017)Smartphone recommendation system using web data integration techniques2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)10.1109/CCECE.2017.7946845(1-5)Online publication date: Apr-2017
https://doi.org/10.1109/CCECE.2017.7946845
Zhang YLi QZhang Y(2013)Enrich Web Entity Schema Based on Integrated AnnotationProceedings of the 2013 10th Web Information System and Application Conference10.1109/WISA.2013.37(153-158)Online publication date: 10-Nov-2013
https://dl.acm.org/doi/10.1109/WISA.2013.37

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Index Terms

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An ontology-based approach for resolving semantic schema conflicts in the extraction and integration of query-based information from heterogeneous web data sources

Parallel Approach and Platform for Large-Scale WEB Data Extraction

Virtual data integration on the web: novel methods for accessing heterogeneous and distributed data with rich semantics