DocumentCode :
2897782
Title :
Notice of Violation of IEEE Publication Principles
Architecture of an Object-Level Vertical Search
Author :
Zheng, Jianfeng ; Nie, Zaiqing
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
51
Lastpage :
55
Abstract :
Notice of Violation of IEEE Publication Principles

"Architecture of an Object-level Vertical Search"
By Jianfeng Zheng and Zaiqing Nie
in the Proceedings of the 2009 International Conference on Web Information Systems and Mining (WISM), November 2009, pp. 51-55

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

This paper is a verbatim copy of the paper cited below. The lead author, Jianfeng Zheng, submitted the copied paper without the knowledge or permission of the coauthor, Zaiqing Nie.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Object-level Vertical Search"
by Zaiqing Nie, Ji-Rong Wen, and Wei-Ying Ma
in the Proceedings of the Third Biennial Conference on Innovative Data Systems Research (CIDR), January 2007

Current mobile Web search engines essentially conduct document-level ranking and retrieval. However, structured information about real-world objects embedded in static WebPages and online databases exists in huge amounts. We explore a new paradigm to enable Web search at the object level in this paper, extracting and integrating Web information for objects relevant to a specific application domain. We then rank these objects in terms of their relevance and popularity in answering user queries. We introduce the overview and core technologies of object-level vertical search engines that have been implemented in one working systems: Windows live product search on mobile (http://m.live.com).
Keywords :
Internet; information retrieval; mobile computing; search engines; Web information integration; Web search; document-level ranking-retrieval; mobile Web search engines; object-level vertical search architecture; online databases; static WebPages; Collaborative work; Collision mitigation; Data mining; Data warehouses; Decision making; Decision support systems; International collaboration; Large-scale systems; Problem-solving; Workflow management software; Information Integration; Object-level Ranking; Web Information Extraction; Web Search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Information Systems and Mining, 2009. WISM 2009. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3817-4
Type :
conf
DOI :
10.1109/WISM.2009.18
Filename :
5368315
Link To Document :
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