Uncertain data are inherent in some important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and the rapidly increasing amount of uncertain data ...

Object/Relational Mapping (ORM) provides a methodology and mechanism for object-oriented systems to hold their long-term data safely in a database, with transactional control over it, yet have it expressed when needed in program objects. Instead of ...

We demonstrate XRPC, a minimal XQuery extension that enables distributed querying between heterogeneous XQuery engines. The XRPC language extension enhances the existing concept of XQuery functions with the Remote Procedure Call (RPC) paradigm. XRPC is ...

The Cascadia system provides RFID-based pervasive computing applications with an infrastructure for specifying, extracting and managing meaningful high-level events from raw RFID data. Cascadia allows application developers and even users to specify ...

The goal of the Demaq project is to investigate a novel way of thinking about distributed applications that are based on the asynchronous exchange of XML messages. Unlike today's solutions that rely on imperative programming languages and multi-tiered ...

This demo presents a privacy-preserving aggregate location monitoring system, namely, TinyCasper, in which we can monitor moving objects in wireless sensor networks while preserving their location privacy. TinyCasper consists of two main modules, in-...

Borealis-R is a replication-based system for both fast and

highly-available processing of data streams over wide-area networks. In Borealis-R, multiple operator replicas send outputs to downstream replicas, allowing each replica to use whichever data ...

We introduce the Spicy system, a novel approach to the problem of automatically selecting the best mappings among two data sources. Known schema mapping algorithms rely on value correspondences -- i.e. correspondences among semantically related ...

Schema mappings are logical assertions that specify the relationships between a source and a target schema in a declarative way. The specification of such mappings is a fundamental problem in information integration. Mappings can be generated by ...

The UQBE is a mashup tool for non-programmers that supports query-by-example (QBE) over a schema made up by the user without knowing the schema of the original sources. Based on automated schema matching with uncertainty, the UQBE system returns the ...

Many data integration solutions in the market today include visual tools for schema mapping. Users connect schema elements with lines that are interpreted as high-level logical expressions capturing the relationship between source and target data-sets. ...

XML database systems are expected to handle increasingly complex queries over increasingly large and highly structured XML databases. An important problem that needs to be solved for these systems is how to choose the best set of indexes for a given ...

Orion is a state-of-the-art uncertain database management system with built-in support for probabilistic data as first class data types. In contrast to other uncertain databases, Orion supports both attribute and tuple uncertainty with arbitrary ...

We propose to demonstrate SEMMO, a consistency server for MMOs. The key features of SEMMO are its novel distributed consistency protocol and system architecture. The distributed nature of the engine allows the clients to perform all computations locally;...

Today's record matching infrastructure does not allow a flexible way to account for synonyms such as "Robert" and "Bob" which refer to the same name, and more general forms of string transformations such as abbreviations. We expand the problem of record ...

We present Stretch 'n' Shrink, a query design framework that explicitly takes into account user preferences about the desired answer size, and subsequently modifies the query with user feedback to meet this target. Our system has been prototyped inside ...