Quick response time and accuracy are important factors in the success of any database. In large databases particularly in distributed database, query response time plays an important role as timely access to information and it is the basic requirement of successful business application. A data warehouse uses multiple materialized views to efficiently process a given set of queries. The material...

Pipelining is a widely used technique that query execution engines employ to improve individual query execution times. In recently proposed settings, pipelining is used as an alternative to materialization to evaluate query plan graphs, where nodes in a query plan can have multiple parents. Such scenarios include shared table scans, runtime operator sharing, parallel sorting, and pipelined Mult...

In a modern technological society, electronic engineering and design innovations are both academic practical fields that involve systematic materialization through scientific principles designs [...]

1. Daniel J. Abadi ,Daniel S. Myers, David J. DeWitt, Samuel R. Madden. Materialization Strategies in a Column-Oriented DBMS. Proceedings of ICDE 2007, Istanbul, Turkey. 2. Daniel J. Abadi, Samuel R. Madden, Nabil hachem. Column-Store vs Row-store How different are they really? SIGMOD’08, June 9–12, 2008, Vancouver, BC, Canada 3. Daniel Abadi,PeterBoncz,Stavros Harizopoulos, Stratos Idreos, Sam...

One of the main advantages of using semantically annotated data is that machines can reason on it, deriving implicit knowledge from explicit information. In this context, materializing every possible implicit derivation from a given input can be computationally expensive, especially when considering large data volumes. Most of the solutions that address this problem rely on the assumption that ...

ion Refinement for Ontology Materialization Technical Report Birte Glimm, Yevgeny Kazakov, Thorsten Liebig, Trung-Kien Tran, and Vincent Vialard 1 University of Ulm, Ulm, Germany, [email protected] 2 derivo GmbH, Ulm, Germany, @derivo.de Abstract. We present a new procedure for ontology materialization (computing all entailed instances of every atomic concept) in whi...

Tasks and working scenarios on the desktop involve specific context information which is useful for finding relevant documents related to that context. Automating the process of retrieving and generating this context information is important to avoid time-consuming manual annotation not feasible in everyday work. This paper focuses on automatically extracting and integrating contextual informat...

Both materialization and backward-chaining as different modes of performing inference have complementary advantages and disadvantages. Materialization enables very efficient responses at query time, but at the cost of an expensive up front closure computation, which needs to be redone every time the knowledge base changes. Backward-chaining does not need such an expensive and change-sensitive p...

View Materialization is an effective method to increase query efficiency in a data warehouse. However, one encounters the problem of space insufficiency if all possible views are materialized in advance. Reducing query time by means of selecting a proper set of materialized views with a lower cost is crucial for efficient data warehousing. In addition, the costs of data warehouse creation, quer...

This article presents a technique for Stream Reasoning, consisting in incremental maintenance of materializations of ontological entailments in the presence of streaming information. Previous work, delivered in the context of deductive databases, describes the use of logic programming for the incremental maintenance of such entailments. Our contribution is a new technique that exploits the natu...