VLDB
2007
ACM
15 years 20 days ago
2007
ACM
A range of mobile services rely on knowing the current positions of populations of so-called moving objects. In the ideal setting, the positions of all objects are known always an...
VLDB
2007
ACM
15 years 20 days ago
2007
ACM
We present an overview of a tutorial on model management--an approach to solving data integration problems, such as data warehousing, e-commerce, object-to-relational mapping, sch...
VLDB
2007
ACM
15 years 20 days ago
2007
ACM
The networked and increasingly ubiquitous nature of today's data management services mandates assurances to detect and deter malicious or faulty behavior. This is particularly...
101
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VLDB
2007
ACM
15 years 20 days ago
2007
ACM
In previous papers [SC05, SBC+07], some of us predicted the end of "one size fits all" as a commercial relational DBMS paradigm. These papers presented reasons and exper...
VLDB
2007
ACM
15 years 20 days ago
2007
ACM
Scientific data are posing new challenges to data management due to the large volume, complexity and heterogeneity of the data. Meanwhile, scientific collaboration becomes increas...
101
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VLDB
2007
ACM
15 years 20 days ago
2007
ACM
The deep Web presents a pressing need for integrating large numbers of dynamically evolving data sources. To be more automatic yet accurate in building an integration system, we o...
VLDB
2007
ACM
15 years 20 days ago
2007
ACM
In large-scale distributed information systems, where participants are autonomous and have special interests for some queries, query allocation is a challenge. Much work in this c...
VLDB
2007
ACM
15 years 20 days ago
2007
ACM
In this demonstration, we present the ZOOM*UserView system, and focus on the module which generates a "user view" based on what tasks the user perceives to be relevant i...
VLDB
2007
ACM
15 years 20 days ago
2007
ACM
Emerging applications such as personalized portals, enterprise search and web integration systems often require keyword search over semi-structured views. However, traditional inf...
103
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VLDB
2007
ACM
15 years 20 days ago
2007
ACM
Two central criteria for data quality are consistency and accuracy. Inconsistencies and errors in a database often emerge as violations of integrity constraints. Given a dirty dat...