Devising a scheme for efficient and scalable querying of Resource Description Framework (RDF) data has been an active area of current research. However, most approaches define new...
Eugene Inseok Chong, Souripriya Das, George Eadon,...
We present a system for efficient meta-data indexed querying of XML documents. Given the diversity of the information available in XML, it is very useful to annotate XML data wit...
We study the problem of applying adaptive filters for approximate query processing in a distributed stream environment. We propose filter bound assignment protocols with the obj...
Reynold Cheng, Ben Kao, Sunil Prabhakar, Alan Kwan...
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Summarization of query results is an important problem for many OLAP applications. The Minimum Description Length principle has been applied in various studies to provide summarie...
Evaluation and applicability of many database techniques, ranging from access methods, histograms, and optimization strategies to data normalization and mining, crucially depend o...
Patterns represent in a compact and rich in semantics way huge quantity of heterogeneous data. Due to their characteristics, specific systems are required for pattern management,...
We extend the OLAP data model to represent data ambiguity, specifically imprecision and uncertainty, and introduce an allocation-based approach to the semantics of aggregation qu...
Douglas Burdick, Prasad Deshpande, T. S. Jayram, R...
Vehicle tracking data is an essential “raw” material for a broad range of applications such as traffic management and control, routing, and navigation. An important issue with...
We present HePToX, a full-fledged peer-topeer database system that efficiently handles XML data heterogeneity. In a highly dynamic P2P network, it is unrealistic for a peer enter...