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RESEARCH AREAS

Computational Intelligence Databases and Information Management Networking and Systems Pattern Recognition and Machine Learning

Databases and Information Management

With Hong Kong being recognized as one of the leading digital cities in the world, our research aims to facilitate the secure, effective and efficient use and management of voluminous information under a wide variety of hardware, software and organizational settings. The research topics include, but are not limited to, data privacy and security, query processing and optimizations, XML and graph databases, mobile data management, information systems, and electronic commerce.


Faculty Involved:


Funded Research and Consultancy Projects in the Past Few Years:

Adaptive Filtering for Efficient Subgraph Isomorphism in Graph Databases
Staff Dr. CHOI, Byron Koon Kau (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~bchoi/project/af.html
Abstract Graph/Network data model has been a powerful tool to model structures such as social networks, network traffic, biological databases and XML, among others. A typical task on graph data is to retrieve substructures embedded. The current state-of-the-art technique almost always comprise two phases -- the filtering and verification phases. We propose to adjust indexes adaptively, in response to query workloads.

Optimizations for the View Update Problem with Emerging Applications
Staff Dr. CHOI, Byron Koon Kau (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~bchoi/project/vu.html
Abstract Materialized views have been important in improving query evaluation performance in databases. Since materialized views are managed as real data, they are subjected to both queries and updates. While queries on materialized views are straightforward, updates on views are not. Materialized views play a crucial role in many emerging applications. These call for an investigation on the view update problem.

Updates of Bisimulation of Graphs
Staff Dr. CHOI, Byron Koon Kau (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~bchoi/project/ub.html
Abstract Updates have been an inseparable part of any bisimulation-based systems. However, updates of bisimulation receive less attention when compared to various applications of bisimulation. Previous theoretical studies on bisimulation report that updates on bisimulation are generally not localized. Hence, a simple update on a graph may result in a recomputation. This necessitates a detailed study on such updates.

Privacy and Security for Advanced Information Systems and Applications
Staff Dr. HU, Haibo (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~haibo/projects.htm
Abstract Privacy and security are two critical concerns in modern advanced information systems, such as mobile information systems and social networking services. This project studies query processing with mutual privacy protection. In outsourced databases, the protection of both data privacy and query privacy are equally important. We design both secure multiparty computation and privacy homomorphism-based techniques for efficient query processing.

Associative Indexing for Semantic Visual Information Discovery
Staff Prof. LEUNG, Clement Ho Cheung (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~asmimr
Abstract Current visual information retrieval is concerned with low-level features. The key to effective semantic visual information search critically depends on the indexing mechanism. In this project, we shall develop a methodology for supporting high-level semantic visual information discovery through the creation of associative indexes, which may be automatically built up and expanded by utilizing ontological data relationships and contextual knowledge.

Automatic Generation of High Precision Image Annotations through Concept Propagation
Staff Prof. LEUNG, Clement Ho Cheung (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~asmimr
Abstract An effective mechanism of identifying image contents is semantic annotation. Without effective annotations, the semantic index cannot be built. The objective of this research is to address this problem by establishing algorithms for the automated generation of high-precision semantic image annotations. In doing so, high precision searching of a vast amount of otherwise unsearchable image collections would become possible.

Semantic Access and Characterisation of Web Images
Staff Prof. LEUNG, Clement Ho Cheung (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~asmimr
Abstract The Web is becoming increasingly image centred. By injecting different levels of semantic characterisation into Web images by purely automatic means, this research will raise the value and utility of the Web, and to allow the discovery and deployment of an important portion of the Web which up to now has not been substantially explored.

Data-Centric Filter Management and Routing Optimization for Distributed Monitoring Systems
Staff Prof. XU, Jian Liang (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~xujl/research/defacto.html
Abstract This research project proposes to take data-centric designs to improve performance for distributed monitoring systems. Two issues namely filter management for approximate monitoring and routing optimization for in-network data aggregation are studied under this project.

Energy-Conserving Quality-Aware Data Collection in Wireless Sensor Networks
Staff Prof. XU, Jian Liang (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~xujl/research/ecoquad.html
Abstract Energy efficiency is a critical consideration in the design of a wireless sensor network. This project exploits the trade-off between data quality and communication cost to improve energy efficiency in sensor data collection.

iPDA: Privacy-Preserving Location-based Data Access in Mobile Environments
Staff Prof. XU, Jian Liang (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~xujl/research/ipda.html
Abstract With a location-aware wireless device, a mobile user can query his/her surroundings (e.g., finding the nearest gas station or all shopping centers within 5 miles) at any place, anytime. This project aims to support such location-based services while protecting users' location privacy.

Query Processing in Flash-Based Storage-Centric Sensor Networks
Staff Prof. XU, Jian Liang (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~xujl/research/qupos.html
Abstract In this project, we investigate innovative query processing algorithms for flash memory based storage-centric sensor networks. Of particular interest are distributed data management issues under sensor system workload given the unique read/write/erase characteristics of flash memories.

Transaction Management for Flash-based Database Systems
Staff Prof. XU, Jian Liang (Principal Investigator)
URL http://www.comp.hkbu.edu.hk/~xujl/research/flash.html
Abstract Owing to their superiority in access latency and energy consumption, flash memory drives have recently become a competitive alternative to magnetic hard disks as secondary storage. In this project, we plan to investigate a number of optimization techniques for transaction management in flash-based database systems by exploiting the characteristics of flash memory drives (e.g., out-of-place updating and partial page programming).

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Department of Computer Science, Hong Kong Baptist University
Hong Kong Baptist University