Zobrazeno 1 - 10
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pro vyhledávání: '"Meng, Weiyi"'
As the content on the Internet continues to grow, many new dynamically changing and heterogeneous sources of data constantly emerge. A conventional search engine cannot crawl and index at the same pace as the expansion of the Internet. Moreover, a la
Externí odkaz:
http://arxiv.org/abs/2304.07946
Microblogging sites, like Twitter, have emerged as ubiquitous sources of information. Two important tasks related to the automatic extraction and analysis of information in Microblogs are Entity Mention Detection (EMD) and Entity Detection (ED). The
Externí odkaz:
http://arxiv.org/abs/2201.11885
Recent research shows that copying is prevalent for Deep-Web data and considering copying can significantly improve truth finding from conflicting values. However, existing copy detection techniques do not scale for large sizes and numbers of data so
Externí odkaz:
http://arxiv.org/abs/1503.00309
The amount of useful information available on the Web has been growing at a dramatic pace in recent years and people rely more and more on the Web to fulfill their information needs. In this paper, we study truthfulness of Deep Web data in two domain
Externí odkaz:
http://arxiv.org/abs/1503.00303
Publikováno v:
In Neural Networks October 2018 106:152-167
Publikováno v:
In Information Systems March 2017 64:93-103
Publikováno v:
In Information Sciences 20 December 2016 374:255-275
Publikováno v:
Proceedings of the VLDB Endowment; 20240101, Issue: Preprints p349-360, 12p
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