Protein classification using a neural network database system

1991 ◽  
Author(s):  
Cathy H. Wu ◽  
Adisorn Epidemiology ◽  
Tzx-Chung Chang
Keyword(s):  
Neural Network ◽  
Database System ◽  
Protein Classification ◽  
Network Database

Weightless Neural Network Array for Protein Classification

2004 ◽  
pp. 168-171 ◽  
Author(s):  
Martin Chew Wooi Keat ◽  
Rosni Abdullah ◽  
Rosalina Abdul Salam ◽  
Aishah Abdul Latif
Keyword(s):  
Neural Network ◽  
Protein Classification

Design and Realization of Alfresco Database of the Micro-Information System

2014 ◽  
Vol 989-994 ◽  
pp. 4643-4649
Author(s):  
Xiao Yang Yan ◽  
Zhi Peng Lin ◽  
Xing Ming Zhang ◽  
Wen Chao Yang
Keyword(s):  
Information System ◽  
Data Security ◽  
Database System ◽  
Open Platform ◽  
Management Efficiency ◽  
Network Database ◽  
Data Query ◽  
Development Tool ◽  
Design Ideas ◽  
Apache Tomcat

The Alfresco development tool, which includes Apache Tomcat, MySQL and WebService, is an open platform for building a functional database system in a Java website. In order to improve the enterprises’ management efficiency in specialized industrial townships, a micro-information system based on Alfresco development tool has been proposed. In the construction of the micro-information system, Alfresco database exhibits great superiority in network database architecture, data query with Lucene search engine, data management and data security. In this paper, the general design ideas, functions, key technologies and realization methods of the Alfresco database are introduced.

ARCHITECTURE OF A UNIVERSAL DATABASE: A FRAME MODEL APPROACH

1999 ◽  
Vol 08 (01) ◽  
pp. 47-82 ◽  
Author(s):  
JOSEPH FONG ◽  
SHI-MING HUANG
Keyword(s):  
Database Systems ◽  
Database System ◽  
Data Models ◽  
User Friendliness ◽  
Frame Model ◽  
Network Database ◽  
Schema Translation ◽  
Database Program ◽  
Database Language ◽  
Model Approach

RDB has been dominant in the industry for the last decade. OODB is recongnized as a post-relational technology that can improve productivity, Hierarchical Database and Network Database were popular in the 1970s, and have been developed into legacy database systems. The DBMS of various data models have proliferated into many companies, and become their important assets. There is a need to integrate these database system into a data warehouse in the company. We investigate a solution to the problem by offering an architecture of a universal database for the connectivity of various DBMSs using different data models. A frame model is chosen to represent the conceptual and logical schema of the universal database, which structures an application domain into classes organized via generalization, aggregaton and user-defined relationships, and its data in relational tables. The schemas of the existing database systems are translated into frame model conceptual shcemas which are integrated into a global frame model in a knowledge representation that includes classes for object structure descriptions and constraints for supporting user-defined relationships. The universal database is implemented by a relational DBMS as a kernel. In addition to relational tables, the universal database consists of program area to emulate database navigation in nonrelatoinal DBMS, method classes to implement program calls to emulate methods of OODBMS, and contraint classes to preserve semantic and resolve naming conflicts in schema translation and integration. To ensure each database program access the universal database, a database gateway for each source DBMS is developed to translate their DML into SQL, which is chosen to be its kernel database language, for its user-friendliness, standardization and popularity in the industry.

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