Dynamic content generation poses huge resource demands on web servers, creating a scalability problem. WebView Materialization, where web pages are cached and constantly refreshed in the background, has been shown to ameliorate the scalability problem without sacrificing data freshness. In this work we present an adaptive online algorithm to select which WebViews to materialize, that realizes t...

Materialization of XML views significantly improves query performance in the often slow execution times for XPath expressions. Existing efforts focus on providing approaches of how to reuse materialized view for answering XPath queries and, the problem of synchronizing materialized data in response to the changes taking place at data source level. In this paper, we study a closely related probl...

With the advent of the Internet, access to database servers from autonomous clients will become more and more popular. In this paper, we propose a monitoring service that could be o ered by such database servers, and present algorithms for its implementation. In contrast to published view maintenance algorithms, we do not assume that the server has access to the original materialization when co...

A data warehouse stores materialized views derived from one or more sources for the purpose of eeciently implementing decision-support or OLAP queries. One of the most important decisions in designing a data warehouse is the selection of materialized views to be maintained at the warehouse. The goal is to select an appropriate set of views that minimizes total query response time and/or the cos...

Recently, it has been shown that ontologies with large datasets can be efficiently materialized by a so-called abstraction refinement technique. The technique consists of the abstraction phase, which partitions individuals into equivalence classes, and the refinement phase, which re-partitions individuals based on entailments for the representative individual of each equivalence class. In this ...

The changes in the distributed database environment during its lifetime necessitate a redesign of the distributed databases so as to keep the performance of the applications/transactions from degrading. Till now most of the work in distributed database design dealt with developing better fragmentation and allocation algorithms. This paper introduces an hitherto unexplored step in distributed da...

A data warehouse stores materialized views of data from one or more sources, with the purpose of eeciently implementing decision-support or OLAP queries. One of the most important decisions in designing a data warehouse is the selection of materialized views to be maintained at the warehouse. The goal is to select an appropriate set of views that minimizes total query response time and the cost...

A data warehouse stores materialized views derived from one or more sources for the purpose of e ciently implementing decisionsupport or OLAP queries. One of the most important decisions in designing a data warehouse is the selection of materialized views to be maintained at the warehouse. The goal is to select an appropriate set of views that minimizes total query response time and/or the cost...