There have recently been several papers presenting scalable distributed inference systems for the W3C Resource Description Framework Schema language (RDFS). These papers have made claims to the effect that they can produce the RDFS closure for billions of RDF triples using parallel hardware. For example, Urbani et al claim “a distributed technique to perform materialization under the RDFS [. . ...

In-memory database management systems (DBMSs) are a key component of modern on-line analytic processing (OLAP) applications, since they provide low-latency access to large volumes of data. Because disk accesses are no longer the principle bottleneck in such systems, the focus in designing query execution engines has shifted to optimizing CPU performance. Recent systems have revived an older tec...

This article presents a technique to incrementally maintain materializations of ontological entailments. Materialization consists in precomputing and storing a set of implicit entailments, such that frequent and/or crucial queries to the ontology can be solved more efficiently. The central problem that arises with materialization is its maintenance when axioms change, viz. the process of propag...

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...

Video-on-Demand (VOD) servers are becoming feasible. These servers have voluminous data to store and manage. If only disk-based secondary storage systems are used to store and manage this huge amount of data the system cost would be extensively high. A tape-based tertiary storage system seems to be a reasonable solution to lowering the cost of storage and management of this continuous data. How...

Despite a large body of work on xml twig query processing in relational environment, systematic study of xml join evaluation has received little attention in the literature. In this paper, we propose a novel and non-traditional technique for fast evaluation of multi-source star twig queries in a path materialization-based rdbms. A multi-source star twig joins different xml documents on values i...

Queries to data warehouses often involve hundreds of complex aggregations over large volumes of data, and so it is infeasible to compute these queries by scanning the data sources each time. Data warehouses therefore build a large number of materialized views to increase system performance. However, materialized views need to be immediately updated when its sources are changed, leading to a pos...

A Data warehouse is a tool that is used by big companies, and it gathers data coming from different sources. The main goal of a data warehouse is not only to store data, but also to help companies to make decisions. The huge volume of data makes processing queries complex and time-consuming. In order to solve this problem, the materialization of views is suggested as a solution to improve the p...

Sommario Logical design of data warehouses (DW) encompasses the sequence of steps which, given a core work-load, determine the logical scheme for the DW. A key step in logical design is view materialization. In this paper we propose an original approach to materialization in which the workload is characterized by the presence of complex queries represented by Nested Generalized Projection/Selec...

This article analyzes the judiciary system’s tendency to unify multiple jurisprudences and eventual conflicts with cultural diversity. The interpretation of laws is interpreted skepticism, as they might result in derogation legislative prerogatives. Critics have gained strength from actual procedure code's disposals that made compulsory judiciaries pronounce state national levels. present study...