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"Database as a service" paradigm has gained a lot of interest in recent years. This has raised questions about the security of data in the servers. Firms outsourcing their XML databases to untrusted parties started to look for new ways to securely store data and efficiently query them. In this...
SIGMOD 2008 was the first database conference that offered to test submitters' programs against their data to verify the experiments published. This paper discusses the rationale for this effort, the community's reaction, our experiences, and advice for future similar efforts.
The need for large-scale data sharing between autonomous and possibly heterogeneous decentralized systems on the Web gave rise to the concept of P2P database systems. Decentralized databases are, however, not new. Whereas a definition for a P2P database system can be readily provided, a...
Web 2.0 refers to a set of technologies that enables indviduals to create and share content on the Web. The types of content that are shared on Web 2.0 are quite varied and include photos and videos (e.g., Flickr, YouTube), encyclopedic knowledge (e.g., Wikipedia), the blogosphere, social...
Provenance, or records of the origin, context, custody, derivation or other historical information about a (digital) object, has recently become an important research topic in a number of areas, particularly databases. However, there has been little interaction between researchers across...
This paper presents an overview of DOLAP'07, the 10th ACM International Workshop on Data Warehousing and OLAP, held on November 9, 2007 in Lisbon, Portugal in conjunction with CIKM'07, the ACM 16th Conference on Information and Knowledge Management.
This report summarizes the presentations and discussions of the Third International Workshop on Computer Vision meets Databases, or CVDB 2007, which was held in Beijing, China, on June 10, 2007. The workshop was colocated with the 2007 ACM SIGMOD/PODS conferences and attended by twenty-five...
The world is transforming into an electronic society where almost every aspect of our lives is increasingly computerized and interconnected. Such a transformation has profoundly changed the scope, the scale and the level of automation for information collection, storage, analysis and...
The fast accumulation of graph data is witnessed in a wide range of scientific and commercial domains. Typical graph data include chemical compounds, circuits, biological networks, computer networks, 2D/3D models, XML, RDF and workflows. Graph is regarded as a critical data type for knowledge...
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