Index tuning as part of database tuning is the task of selecting and creating indexes with the goal of reducing query processing times. However, in dynamic environments with various ad-hoc queries it is difficult to identify potential useful indexes in advance. In this demonstration, we present our tool QUIET addressing this problem. This tool “intercepts” queries and – based on a cost model as...

This paper proposes an integrated modelling framework for the analysis of manufacturing systems that can increase the capacity of modelling tools for rapidly creating a structured database with multiple detail levels and thus obtain key performance indicators (KPIs) that highlight possible areas for improvement. The method combines five important concepts: hierarchical structure, quantitative/ ...

There is an ever growing number of molecular phylogenetic studies published, due to, in part, the advent of new techniques that allow cheap and quick DNA sequencing. Hence, the demand for relational databases with which to manage and annotate the amassing DNA sequences, genes, voucher specimens and associated biological data is increasing. In addition, a user-friendly interface is necessary for...

The 2006 Commercial End Use Survey (CEUS) database developed by the California Energy Commission is a far richer source of energy enduse data for non-residential buildings than has previously been available, and opens the possibility of creating new and more powerful energy benchmarking processes and tools. In this article—Part 2 of a two-part series—we describe the methodology and selected res...

The fast growth of Internet is creating a society where the demand on information storage, organization, access, and analysis services is continuously growing. This constantly increases the number of inexperienced users that need to access databases in a simple way. Together with the emergence of voice interfaces, such a situation foretells a promising future for database querying systems using...

This paper describes a heuristic approach to automatically identifying which senses of a machinereadable dictionary (MRD) headword are semantically related versus those which correspond to fundamentally different senses of the word. The inclusion of this information in a lexical database profoundly alters the nature of sense disambiguation: the appropriate "sense" of a polysemous word may now c...

Interests to realize semantic frames databases as a stable starting point in developing semantic knowledge based systems exists in countries such as Germany (the Salsa project), England (the PropBank project), United States (the FrameNet project), Spain, Japan, etc. I thus propose to create a semantic frame database for Romanian, similar to the FrameNet database. Since creating language resourc...

We present an algorithm for creating a neural network which produces accurate probability estimates as outputs. The network implements a Gibbs probability distribution model of the training database. This model is created by a new transformation relating the joint probabilities of attributes in the database to the weights (Gibbs potentials) of the distributed network model. The theory of this t...

This study presents a systematic methodology for MDA transformation that includes creating a platform independent model (PIM), transforming PIM into platform specific model (PSM), and transforming PSM into a Code model. The PIM is created first based on the use case, activity diagram and robustness diagram. The PIM is then transformed into a PSM based on three target platforms: Web-based user i...

One of the fundamental problems in computational biology is the diversity of data types and data sources. SRS is a widely used integration tool for these databases enabling powerful cross-database queries [1, 2, 3]. The mechanism used to enable cross-database searches can also be used to combine data from multiple entries to form a “view”. Combining data into structured objects via a CORBA inte...