Workshops
- The 1st International Workshop on Graph-structured Data Bases (GDB 2011)
- The First International Workshop on Spatial Information Modeling, Management and Mining (SIM3)
- The International Workshop on Flash-based Database Systems (FlashDB)
- The 2nd International Workshop on Social Networks and Social Media Mining on the Web (SNSMW)
- The First International Workshop on Data Management for Emerging Network Infrastructures (DaMEN)
- Fourth International Workshop on Data Quality in Integration Systems (DQIS)
The 1st International Workshop on Graph-structured Data Bases (GDB 2011)
Chaired by:
Sourav S. Bhowmick, Nanyang Technological University, Singapore
Byron Choi, Hong Kong Baptist University, Hong Kong
Wei Wang, University of New South Wales, Australia
Recent applications on graph-structured data, for example, biological and chemical databases, social networks, business process models, the Semantic Web and XML, have sparked a renewed interest on graph-structured databases. The GDB workshop targets at bringing academic and industrial researchers together to share their knowledge and opinions on visions, challenges and solutions on graph-structured databases. The workshop solicits original research contributions, reports on prototype systems, reports on industrial experience, position paper and vision paper on a wide range of topics of graph-structured databases.
The First International Workshop on Spatial Information Modeling, Management and Mining (SIM3)
Chaired by:
Xin Wang, University of Calgary, Canada
Jihong Guan, Tongji University, China
Nowadays, spatial data exists pervasively in various information systems and applications. The unprecedented amount of spatial data that has been amassed and that is being produced in an increasing speed, via various facilities such as sensors, GPS receivers, smart phones and remote sensing, calls for extensive, deep and sustaining research on spatial information modeling, management and mining. In the past decade, we witnessed increasing research interests in these areas from database, data mining and geographic information systems (GIS) communities.
The First International Workshop on Spatial Information Modeling, Management and Mining (SIM3-2011) is a half day workshop conjuncted with DASFAA 2011, which intend to bring together researchers, developers, users, and practitioners carrying out research and development in spatial information modeling, management and mining, and foster discussions in all aspects of these research areas. The workshop will provide a forum for original research contributions and practical experiences of spatial information modeling, management and mining and will highlight future trends in these topics.
The International Workshop on Flash-based Database Systems (FlashDB)
Chaired by:
Xiaofeng Meng, Renmin University of China (RUC)
Lihua Yue, University of Science and Technology of China (USTC)
Recently, new storage media such as flash memory have been developed very quickly, which brings big challenges to the architecture of computer systems as well as the design of system software. In particular, NAND flash (either SLC- or MLC-based) in the form of solid state disks (SSDs) has been an alternative to traditional magnetic disks, both in the home-user environment and in the enterprise computing environment, due to its shock-resistance, low power consumption, non-volatile, and high I/O speed. The special features of flash memory and other new storage media impose new challenges to traditional data management technologies. As a result, traditional database architectures and algorithms designed for magnetic-disk-based storage fail to utilize new storage media efficiently. Meanwhile, the new characteristics of modern storage media, such as not-in-place update and asymmetric read/write/erase latencies of flash memory, also bring great challenges in optimizing database performance, by using new querying algorithms, indexes, buffer management schemes, and new transaction processing protocols. Consequently, exploiting the characteristics of flash memory and other new storage media has become an important topic of database systems research.
In order to make database systems adapt automatically to the characteristics of flash memory and other new storage media, the data management community needs to rethink traditional underlying storage architecture, query processing algorithms, indexing mechanism, buffer management schemes as well as many traditional issues in magnetic-disk-oriented database systems to adapt to the advances in the underlying storage infrastructure.
The aim of this one-day workshop is to bring together researchers who are interested in optimizing database performance on flash memory or other new storage media based storage infrastructure by designing new data management techniques and tools.
The 2nd International Workshop on Social Networks and Social Media Mining on the Web (SNSMW)
Chaired by:
Guandong Xu, Aalborg University, Denmark
Lin Li, Wuhan University of Technology, China
Hong Cheng, Chinese University of Hong Kong, China
Botang Wang, Northeastern University, China
Today the emergence of web-based communities and hosted services such as social networking sites, wikis and folksonomies, brings in tremendous freedom of Web autonomy and facilitate collaboration and knowledge sharing between users. Along with the interaction between users and computers, social media are rapidly becoming an important part of our digital experience, ranging from digital textual information to diverse multimedia forms. These aspects and characteristics constitute of the core of second generation of Web.
A prominent challenge lies in modeling and mining this vast pool of data to extract, represent and exploit meaningful knowledge and to leverage structures and dynamics of emerging social networks residing in the social media. Social networks and social media mining combines data mining with social computing as a promising direction and offers unique opportunities for developing novel algorithms and tools ranging from text and content mining to link mining.
The 2nd International Workshop on Social Networks and Social Media Mining on the Web in conjunction with DASFAA 2011 will bring together the academia, researchers and industrial practitioners from computer science, information systems, statistics, sociology, behavior science and organization science discipline, and provide a forum for recent advances in the field of social networks and social media, from the perspectives of data management and mining.
The First International Workshop on Data Management for Emerging Network Infrastructures (DaMEN)
Chaired by:
Prof. Aoying Zhou, East China Normal University, China
Prof. Yoshiharu Ishikawa, Nagoya University, Japan
The emerging network infrastructures such as P2P, mobile and sensor networks, and cloud computing were once lab toys. Nonetheless, they show strong potential to become mainstreams in the foreseeable future. While most network‐side issues have been addressed or resolved, the data management issues that arise from the real deployment of these infrastructures are ever increasing. In particular, challenges associated with acquiring, storing, processing, and analyzing large‐scale data from these heterogeneous networks call for novel data management techniques. The inherently dynamic nature of these networks further poses new research issues, such as privacy and security. This workshop aims to facilitate the collaboration between researchers in database and networking areas by presenting cutting edge research topics and methodologies.
Fourth International Workshop on Data Quality in Integration Systems (DQIS)
Chaired by:
Shazia Sadiq, Xiaofang Zhou, Ke Deng, University of Queensland, Australia
Xiaochun Yang, Northeastern University, China
The integration systems have been a subject of intense research and development for over three decades. Basically the goal of integration systems is to provide a uniform interface to a multitude of data sources. Difficulties in overcoming the schematic, syntactic and semantic differences of data from multiple autonomous and heterogeneous sources are well recognized, and have resulted in a data integration market valued at US$1.34 billion and growing. With the phenomenal increase in the scale and disparity of data, the problems associated with data integration have increased dramatically.
A fundamental aspect of user satisfaction from integration systems is the data quality. Industry reports indicate that expensive data integration initiatives stemming from migrations, mergers, legacy upgrades etc, succeed in achieving a common technology platform, but are rejected by the user communities due to the presence (or exposure) of poor data quality. Poor data quality is known to compromise the credibility and efficiency of commercial as well as public endeavours. Several developments from industry as well as academia have contributed significantly towards addressing the problem.
These typically include analysts and practitioners who have contributed to the design of strategies and methodologies for data governance; solution architects including software vendors who have contributed towards appropriate system architectures that promote data integration and; and data experts who have contributed to data quality problems such as duplicate detection, identification of outliers, consistency checking and many more through the use of computational techniques. The attainment of true data quality lies at the convergence of the three aspects, namely organizational, architectural and computational.
The workshop will provide a forum to bring together diverse researchers and make a consolidated contribution to new and extended methods to address the challenges of data quality in data integration systems.