›› 2010, Vol. 25 ›› Issue (3): 387-388.

• Special Section on Trends Changing Data Management •     Next Articles


Xiao-Feng Meng1 and Hai-Xun Wang2   

  1. 1 School of Information, Renmin University, Beijing 100872, China
    2 Microsoft Asia, Beijing 100190, China
  • Online:2010-05-05 Published:2010-05-05
  • About author:
    Xiao-Feng Meng is a full professor and vice dean of School of Information, Renmin University of China. He received his B.S. degree from Hebei University, M.S. degree from Renmin University of China, Ph.D. degree from the Institute of Computing Technology, Chinese Academy of Sciences, all in computer science. He is the secretary general of Database Technique Committee of the China Computer Federation (CCF DBTC). His research interests include web data integration, native XML databases, cloud data management, moving object management, flash based database systems. He has published over 100 papers in refereed international journals and conference proceedings including IEEE TKDE, Geoinformatic, VLDB, SIGMOD,ICDE, EDBT, etc. He has served on the program committees of SIGMOM, ICDE, CIKM, MDM, DASFAA etc. and Editorial Board of Journal of Computer Science and Technology (JCST), Frontiers of Computer Science in China (FCS), etc.
    Hai-Xun Wang is a researcher at Microsoft Research Asia in Beijing, China. Before joining Microsoft, he had been a research staff member at IBM T. J. Watson Research Center for 9 years. He was technical assistant to Stuart Feldman (Vice President of Computer Science of IBM Research) from 2006 to 2007, and Technical Assistant to Mark Wegman (Head of Computer Science of IBM Research) from 2007 to 2009. He received the B.S. and the M.S. degrees, both in computer science, from Shanghai Jiao Tong University in 1994 and 1996. He received the Ph.D. degree in computer science from the University of California, Los Angeles in 2000. His main research interest is database language and systems, data mining, and information retrieval. He has published more than 120 research papers in referred international journals and conference proceedings. He was PC Vice Chair of KDD'10, ICDM'09, SDM'08, and KDD'08, Demo PC Chair of ICDE'09 and ICDM'08, Sponsor Chair of SIGMOD'08, etc., and he serves on the editorial board of IEEE Transactions of Knowledge and Data Engineering (TKDE), Journal of Computer Science and Technology (JCST), as well as in program committees of various international conferences and workshops in the database field.

Information explosion and advances in computing hardware have brought forth a new generation of applications on the Internet and on mobile devices that are poised to transform the way we work and play. One of the biggest challenges for the database community is to better support the ubiquity of big data in the Internet age. This calls for new data management solutions that traditional DBMSs cannot provide. The JCST {Special Section on Trends Changing Data Management} aims at bringing together researchers in data management to discuss the state of the database research and its impacts on practice.
The special section has received enthusiastic responses. The topics of submitted papers ranged from flash memory databases to cloud databases. After careful review, we have accepted 13 papers, each of which has high technical quality and collectively cover a wide range of topics that reflect new trends in data management.
The paper "Outlier Detection over Sliding Windows for Probabilistic Data Streams'' by Wang {\it et al}. addresses the challenges inherent in the probabilistic or the uncertain data. It studies a classic problem --- outlier detection --- in the new setting.
The paper "Privacy-Preserving Data Sharing in Cloud Computing'' by Hui Wang addresses two important problems that are characteristic of the Internet age. Cloud computing is poised to revolutionize IT, and it also represents a controversial concept because of the disruptive change it may incur in the area of privacy. The paper is one of the first that addresses this concern.
The paper "Efficient Location Updates for Continuous Queries over Moving Objects'' by Hsueh {\it et al}. addresses challenges in location databases. The wide adoption of mobile devices spurred many applications in this domain, and the paper sheds light on advances in processing location aware queries.
The paper "Towards Progressive and Load Balancing Distributed Computation: A Case Study on Skyline Analysis'' by Huang {\it et al}. addresses another reality in the new trends of data management: data distribution and load balancing. The paper proposed a solution known as progressive query processing for this task.
The paper "Context-Sensitive Document Ranking'' by Chang {\it et al}. focuses on an important data management issue on the Web: ranking. The paper focuses on using auxiliary information associated with documents to improve ranking.
The paper "The Inverse Classification Problem'' by Aggarwal {\it et al}. focuses on data mining, which is the cornerstone technique in handling the big data. The paper proposed a very interesting problem --- determining attribute values given class labels --- that may benefit many applications.
The paper "Annotation Based Query Answer over Inconsistent Database'' by Wu {\it et al}. focuses on query processing against inconsistent database. It addresses one of the current challenges in data management, i.e., data does not observe constraints, such as functional dependency, required by a traditional DBMS.
The paper "HAPS: Supporting Effective and Efficient Full-Text P2P Search with Peer Dynamics'' by Ren {\it et al}. shows that much data is being stored in P2P systems, where data management issues abound. Specifically, it studies how to improve search in a P2P environment.
The paper "A Solution of Data Inconsistencies in Data Integration --- Designed for Pervasive Computing Environment'' by Wang {\it et al}. addresses data inconsistency issues in data integration. The approach it proposes uses data quality as a criterion.
The paper "Flash-Optimized B+-Tree'' by On {\it et al}. studies issues of data access in flash memory databases. As flash memory has increasing data storage capacity, the database community is faced with the challenge of re-optimizing data accesses for memory based instead of disk based devices.
The paper "Efficient Distributed Skyline Queries for Mobile Applications'' by Xiao {\it et al}. focuses on query processing in mobile environment. It deals with a wide range of issues including mobility, wireless bandwidth, disconnections, etc.
The paper "A Query Interface Matching Approach Based on Extended Evidence Theory for Deep Web'' by Dong {\it et al}. studies a schema matching like problem in deep Web, i.e., how to match query interfaces specified by Web forms so that the users can tap into the rich data hidden inside the deep Web.
The paper "Dynamic Damage Recovery for Web Databases'' by Zhu {\it et al}. investigate a problem familiar to the database community --- data recovery, except that the database is web based.
We thank our authors and reviewers who contributed greatly to the special section. We are proud of its high quality papers and its diverse topics. We hope that the vision, the technical achievements, and the empirical findings as presented in this special section will help encourage the database community to address the challenges in the new trends of data management.

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