bdbms -- A Database Management System for Biological Data

Biologists are increasingly using databases for storing and managing their data. Biological databases typically consist of a mixture of raw data, metadata, sequences, annotations, and related data obtained from various sources. Current database technology lacks several functionalities that are needed by biological databases. In this paper, we introduce bdbms, an extensible prototype database management system for supporting biological data. bdbms extends the functionalities of current DBMSs to include: (1) Annotation and provenance management including storage, indexing, manipulation, and querying of annotation and provenance as first class objects in bdbms, (2) Local dependency tracking to track the dependencies and derivations among data items, (3) Update authorization to support data curation via content-based authorization, in contrast to identity-based authorization, and (4) New access methods and their supporting operators that support pattern matching on various types of compressed biological data types. This paper presents the design of bdbms along with the techniques proposed to support these functionalities including an extension to SQL. We also outline some open issues in building bdbms.Comment: This article is published under a Creative Commons License Agreement (http://creativecommons.org/licenses/by/2.5/.) You may copy, distribute, display, and perform the work, make derivative works and make commercial use of the work, but, you must attribute the work to the author and CIDR 2007. 3rd Biennial Conference on Innovative Data Systems Research (CIDR) January 710, 2007, Asilomar, California, US

Micro Database Management System Language

There are two approaches to solve computational problems in a microcomputer environment: Non-database approach: uses a high level programming language with non-database files as input and/or output files. Database approach: uses the programming language embedded in the micro Data Base Management System(DBMS), with the database defined by the integrated database definition language as input and/or output files. Adopting the appropriate approach in any single application may save cost and time. This paper compares the two different approaches while solving the same Control Section (CSECT) Interaction Hierarchy problem and suggests which to use when

iPETLIN Petlin Database Management System

iPETLIN- Petlin Database Management System is a project to build a web application to provide a database management system by setting up a standard data model with a standard record keeping procedure. The long time taken to reach the resources, the variety of documents used to store data and data anomalies are the problems which are expected to be reduced and solved once the project is implemented. The scope of study for this project building a web application and database management system in a company, Petlin (Malaysia) Sdn Bhd. Taking Extreme Programming as its guidance to build the web application, this project is expected to finish in a short time. Based on the surveys done, most of the staff agreed that all problems in the company happen many times in their working days

RELATIONAL DATABASE MANAGEMENT SYSTEM (RDBMS)

RELATIONAL DATABASE MANAGEMENT SYSTEM (RDBMS

Enabling On-Demand Database Computing with MIT SuperCloud Database Management System

The MIT SuperCloud database management system allows for rapid creation and flexible execution of a variety of the latest scientific databases, including Apache Accumulo and SciDB. It is designed to permit these databases to run on a High Performance Computing Cluster (HPCC) platform as seamlessly as any other HPCC job. It ensures the seamless migration of the databases to the resources assigned by the HPCC scheduler and centralized storage of the database files when not running. It also permits snapshotting of databases to allow researchers to experiment and push the limits of the technology without concerns for data or productivity loss if the database becomes unstable.Comment: 6 pages; accepted to IEEE High Performance Extreme Computing (HPEC) conference 2015. arXiv admin note: text overlap with arXiv:1406.492

BilVideo: A video database management system

Cataloged from PDF version of article.The BilVideo video database management system provides integrated support for spatiotemporal and semantic queries for video. BilVideo can support any application with video data searching needs. It's query language provides a simple way to extend the system's query capabilities. Users can add application-dependent rules and facts to the knowledge base

lexiDB:a scalable corpus database management system

lexiDB is a scalable corpus database management system designed to fulfill corpus linguistics retrieval queries on multi-billion-word multiply-annotated corpora. It is based on a distributed architecture that allows the system to scale out to support ever larger text collections. This paper presents an overview of the architecture behind lexiDB as well as a demonstration of its functionality. We present lexiDB's performance metrics based on the AWS (Amazon Web Services) infrastructure with two part-of-speech and semantically tagged billion word corpora: Historical Hansard and EEBO (Early English Books Online)