Titlebook: Databases Theory and Applications; 26th Australasian Da Mohamed A. Sharaf,Muhammad Aamir Cheema,Jianzhong Conference proceedings 2015 Spri

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Belief Revision in Uncertain Data Integrationf the information in the sources in a systematic way to remedy this difficulty. The revision step is similar in spirit to tasks like data cleaning and record linkage and should be carried out before integration can be achieved for probabilistic uncertain data.

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Personal Process Description Graph for Describing and Querying Personal Processesnd a personal process query. The personal process query approach is developed to support different types of graph queries in a personal process graph repository. The approach follows a filtering and refinement framework to speed up the query computation. We conducted experiments to demonstrate the efficiency of our techniques.

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Ontology Augmentation via Attribute Extraction from Multiple Types of Sourcess, . has attracted tremendous research attentions. However, most existing attribute extraction techniques focus on exploring a single type of sources, such as structured (e.g., relational databases), semi-structured (e.g., Extensible Markup Language (XML)) or unstructured sources (e.g., Web texts, i

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Unifying Spatial, Temporal and Semantic Features for an Effective GPS Trajectory-Based Location Recoing principle of this problem is to predict the . of candidate locations to the user and make recommendations accordingly. Enormous attention has been devoted to this problem by research and industrial community lately due to its applicability in numerous applications. In this work we develop an eff

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A Cache-Based Semi-Stream Join to deal with Unmatched Stream Data-time data warehousing) for up-to-date information. One common operation in semi-stream processing is joining of incoming stream with disk-based master data. A recent algorithm called CACHEJOIN was proposed to implement this join operation. However, CACHEJOIN loads entire stream data into join modul

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