(Libra
V2.0), IIWeb
2007
Zaiqing Nie (聂再清)
Lead Researcher
Web Search & Mining
4F, Beijing Sigma Center
No. 49, Zhichun Road, Haidian District
Beijing, P.R.China, 100080
Email: znie AT microsoft DOT com
Tel: (86-10) 5896-3309
Fax: (86-10) 8809-7306
Check Out Libra
Academic Search(Libra
V2.0), IIWeb
2007
With Object-Level Vertical Search, a new technique devised by Microsoft Research Asia, getting accurate, precise search results will become much more accessible ...
More news and blogs about Windows Live Product Search
2007
Webpage Understanding: An Integrated Approach
Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Hsiao-Wuen Hon.
To appear in the Proceedings of SIGKDD 2007.
Name
Disambiguation Using Web Connection
Yiming Lu, Zaiqing Nie, Taoyuan Cheng, Ying Gao, Ji-Rong Wen.
To appear in the AAAI-07 Workshop on Information Integration on the Web (IIWeb 2007).
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen.
To appear in the Proceedings of the 24th International Conference on Machine Learning (ICML 2007).
Zaiqing Nie, Yunxiao Ma, Shuming Shi, Ji-Rong Wen, Wei-Ying Ma.
In the Proceedings of the 16th international World Wide Web conference (WWW 2007).
Zaiqing Nie, Ji-Rong Wen, Wei-Ying Ma.
In the Third Biennial Conference on Innovative Data Systems Research (CIDR 2007, research paper).
2006
Simultaneous Record Detection and Attribute Labeling in Web Data Extraction
Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma.
In the 12th International Conference on Knowledge Discovery and Data Mining (SIGKDD 2006, full paper).
Honghua(Kathy) Dai, Zaiqing Nie, Lee Wang, Lingzhi Zhao, Ji-Rong Wen, Ying Li.
In Proceedings of the 15th international World Wide Web conference (WWW 2006, industry track).
Extracting Objects from the Web
Zaiqing Nie, Fei Wu, Ji-Rong Wen, Wei-Ying Ma.
In the 22nd International Conference on Data Engineering (ICDE 2006, poster paper).
2005
Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma.
In the 22nd
International Conference on Machine Learning (ICML 2005).
Object-Level Ranking: Bringing Order to Web Objects.
Zaiqing Nie, Yuanzhi Zhang, Ji-Rong Wen, and Wei-Ying Ma.
In Proceedings of the 14th international World Wide Web conference (WWW 2005),
May 10-14, 2005, in Chiba, Japan.
Effectively
mining and using coverage and overlap statistics for data integration.
Zaiqing Nie, Subbarao Kambhampati and Ullas Nambiar.
IEEE Transactions on Knowledge and Data Engineering (TKDE). Vol. 17,
No. 5, May 2005.
2004
A Frequency-based
Approach for Mining Coverage Statistics in Data Integration.
Zaiqing Nie and Subbarao Kambhampati
In Proceedings of the 20th International Conference on Data Engineering (ICDE
2004).
Optimizing
Recursive Information Gathering Plans in EMERAC.
S. Kambhampati, E.
Lambrecht, U. Nambiar, Z. Nie and G. Senthil.
Journal of Intelligent
Information Systems. Volume 22, Number 2, March 2004.
2001 - 2003
BibFinder/StatMiner:
Effectively Mining and Using Coverage and Overlap Statistics in Data
Integration (system demo).
Zaiqing Nie, Subbarao
Kambhampati and Thomas Hernandez.
In Proceeding of the 29th International
Conference on Very Large Data Bases (VLDB 2003).
Frequency-Based
Coverage Statistics Mining for Data Integration.
Zaiqing Nie and
Subbarao Kambhampati.
IJCAI 2003
Workshop on Information Integration on the Web.
Mining Coverage
Statistics for Websource Selection in a Mediator.
Z.Nie, U. Nambiar, S.
Lakshmi and S. Kambhampati.
ASU CSE TR 02-009 (A short version of this paper
appears in Proceedings of CIKM 2002).
Scalable Delivery of Streaming Data on the Internet
through Customizable Approximate Caching.
Zaiqing Nie and Wen-Syan Li. NEC Technical Report,
2002.
Mining Source
Coverage Statistics for Data Integration.
Zaiqing Nie, Subbarao
Kambhampati, Ullas Nambiar and Sreelakshmi Vaddi.
In 3rd ACM International
Workshop on Web Information and Data Management (WIDM), Atlanta, Georgia, USA,
November 2001.
Joint optimization
of cost and coverage of query plans in data integration.
Zaiqing Nie
and Subbarao Kambhampati.
In Proceedings of the 10th ACM International
Conference on Information and Knowledge Management (CIKM) , Atlanta, Georgia,
November 2001.
AltAlt: Combining Graphplan and
Heuristic State Search.
Biplav Srivastava, XuanLong Nguyen, Subbarao
Kambhampati, Minh B. Do, Ullas Nambiar, Zaiqing Nie, Romeo Nigenda, Terry
Zimmerman.
In AI Magazine, American Association for Artificial
Intelligence, Fall 2001.
By using the latest object level technologies, we have created the Libra academic search engine to facilitate the exchange of ideas and communications between academic communities. A user entering search queries in Libra can retrieve relevant information on academic papers, scientists, conferences, journals, and interest groups thus generates more accurate, relevant, and efficient results in comparison to document-level ranking. Features of this search engine include the ability to:
l Find top scientists, conferences, and journals in a specific field;
l Witness the growth and evolution of research communities;
l Locate top research papers;
l Identify rising stars or hot topics in your field
We extract meta-data about real-world products from every product page on the Web by using a single information extraction model. Specifically, for each crawled Web page, we first use a classifier to decide whether it is a product page and then extract the name, image, price and description of each product from detected product pages.
BibFinder is a free computer science bibliography meta-search engine to dynamic integrate search results from multiple online bibliography data sources. It integrates CSB, DBLP, ACM DL, ACM Guide, Network Bibliography, ScienceDirect, IEEE Xplore, CiteSeer and Google Scholar.