School of Computing
 
 


Research Topic - Information Integration


1)  The objective of this research is the design of strategies, techniques and tools for the integration and management of multi-modal and multimedia information from distributed, heterogeneous, and autonomous sources. The approach is primarily grounded into database research. As such it is emphasizing various ideas such as declarative query languages, conceptual data models, adaptive processing and optimization of programs and queries, and the consideration of large numbers of users and large collections of data. Currently the research is focusing on several the following themes: XML data management and processing, progressive processing of disparate information (stream processing), business process definitions management and integration, and algorithms for web information (clustering).

The research findings concern the semantic integration of disparate information sources in particular integration and management of XML data. The integration and management of multi-modal information is also concerned with textual and geographical information indexing, retrieval and extraction as well as the management of business processes.

Research achievements include:

-   the first geographical search engine Global Atlas

-   the X007 benchmark

-   the iMinMax indexing technique for multidimensional data

 

2) Some publications

S. Bressan, B. Catania, Z. Lacroix, Y.G. Li, and A. Maddalena, Accelerating queries by pruning XML documents, Data & Knowledge Engineering 2005.

S. Jayasena, and S. Bressan, and S. Madnick, A case study of Electronic Bill Presentment and Payment (EBPP) integration using the COIN mediation technology, Journal of Internet Banking and Commerce (JIBC, ISSN 1204-5357), 2005.

D. T. Wijaya and S. Bressan, Clustering Web Documents Using Co-citation, Coupling, Incoming, and Outgoing Hyperlinks: a Comparative Performance Analysis of Algorithms, International Journal of Web Information Systems, ISSN 1744-0084 (Print), ISSN 1744-0092 (Online) Volume 2 Issue 2, 2006.

Dung Xuan Le, Stephane Bressan, David Taniar, Wenny Rahayu Semantic XPath Query Transformation: Opportunities and Performance, The 12th International Conference on Database Systems for Advanced Applications (DASFAA) (2007)

Wee Hyong Tok, Stephane Bressan and Mong Li Lee RRPJ: Result-Rate based Progressive Relational Join, The 12th International Conference on Database Systems for Advanced Applications (DASFAA) (2007)

 

3) List of Collaborations with:

Steven Prestwich, University of Cork, Ireland

Barbara Catania, University of Genoa, Italy

Omar Boucelma, CNRS and University of Marseille, France

David Taniar, University of Monash , Australia

Wenny Rahayu, Latrobe University, Australia

Ismail Khalil Ibrahim, University of Linz, Austria

Zainal Hazibuan and Mirna Adriani, University of Indonesia, Indonesia

Bali Ranaivo-Malancon, Universiti Sains Malaysia

Stephen Lee and Angela Goh, NTU, Singapore

Stuart Madnick, Massachusetts Institute of Technology, USA

Akmal Chaudhri, IBM

Lee eng Wah, A*Star Simtech (joint research project A*Star SERC)

- Government Agencies/Statutory Boards

St└phane Bressan (member), ITSC XML working Group

 

4) Patents granted

iMinMax Apparatus and Method for Performing Transformation-based Indexing of High-dimensional Data. US Patent No. 7,117,217 B2 issued on 3 October 2006, Yu Cui, Stephane Bressan, Ooi Beng Chin, and Tan Kian Lee

 

5) Names of the Faculty Members in the research area

St└phane Bressan


 

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