Dynamically Constructing a Global Schema for Web Entities

Xu, Xiuxing; Dong, Yongquan

doi:10.1109/wisa.2010.32

Cited by 2 publications

(1 citation statement)

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“…and integrates them timely. Using SVM methods [2] in the dynamic updating of entities pattern and multi-strategies methods in the detections of entities pattern relationships, MI-DWIS utilizes the data existing in the system as well as the visual information of destination page to detect and establish relationships between different entities effectively.…”

Section: Architecturementioning

confidence: 99%

Mi-Wdis

Zhou

Zhang

Peng

et al. 2010

Proceedings of the 19th ACM International Conference on Information and Knowledge Management

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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 MIoriented 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.

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Section: Architecturementioning

confidence: 99%