نتایج جستجو برای: materialization

تعداد نتایج: 785  

Journal: :Electronics 2021

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

2016
Nachiket Deo Daniel J. Abadi Daniel S. Myers David J. DeWitt Samuel R. Madden Stratos Idreos Samuel Madden

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...

2013
Jacopo Urbani Alessandro Margara Ceriel J. H. Jacobs Frank van Harmelen Henri E. Bal

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 ...

2014
Birte Glimm Yevgeny Kazakov Thorsten Liebig Trung-Kien Tran Vincent Vialard

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...

2011
Jacopo Urbani Frank van Harmelen Stefan Schlobach Henri E. Bal

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...

2003
Matteo Golfarelli

View materialization is recognized to be one of the most effective ways to increase the Data Warehouse performance; nevertheless, due to the computational complexity of the techniques aimed at choosing the best set of views to be materialized, this task is mainly carried out manually when large workloads are involved. In this paper we propose a set of statistical indicators that can be used by ...

2010
Davide Francesco Barbieri Daniele Braga Stefano Ceri Emanuele Della Valle Michael Grossniklaus

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...

1999
Naveen Ashish Craig A. Knoblock Cyrus Shahabi

There is currently great interest in building information mediators that can integrate information from multiple data sources such as databases or Web sources. The query response time in such mediators is typically quite high. We present an approach for optimizing the performance of information mediators by selectively materializing data. We first present our overall framework for materializati...

Journal: :Concurrency and Computation: Practice and Experience 2008
Ben Clifford Ian T. Foster Jens-S. Vöckler Michael Wilde Yong Zhao

The virtual data model allows data sets to be described prior to, and separately from, their physical materialization. We have implemented this model in a Virtual Data Language (VDL) and associated supporting tools, which provide for both the storage, query, and retrieval of virtual data set descriptions, and the automated, on-demand materialization of virtual data sets. We use a standardized d...

Journal: :Institute for Legal Studies Chonnam National University 2017

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