DeBinelle: Semantic Patches for Coupled Database-Application Evolution

This study aims to create a database application program that is able to process data on lecturer course activities and generate reports on the calculation of teaching fees periodically during the pandemic which requires lecturers to report lecture activities online. The system design method approach used is prototyping, namely by creating a program that most closely resembles user needs in a relatively short time. The prototype was generated using the Microsoft Access 2010 database application. The selection of microsoft access to create a prototype was based on the availability of complete facilities in Microsoft Access to design table relations, input forms, query processing, reports and the visual basic programming language for applications. Google Forms used to receive lecture data input online. The application development stages consist of design, testing and implementation stages. This application has succeeded in providing the right solution for the Padang State Polytechnic Accounting Department during the pandemic in calculating and reporting lecture activities and lecturers teaching fees.

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Memory Database Application in the Processing of Huge Amounts of Data

Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science ◽

10.2991/icamcs-16.2016.110 ◽

2016 ◽

Author(s):

Daqiang Xiao ◽

Qi Qian ◽

Jianhua Yang ◽

Guang Chen

Keyword(s):

Database Application

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From Text-based Genome, Population Variations, and Transcriptome Datafiles to SQLite Database and Web Application: A Bioinformatical Study on Alfalfa

10.1101/2021.08.25.457609 ◽

2021 ◽

Author(s):

Shichen Qiao ◽

Chen Shen

Keyword(s):

Medicago Sativa ◽

Programming Languages ◽

Web Application ◽

Command Line ◽

Web Database ◽

Database Application ◽

Java Application ◽

Online Databases ◽

Sqlite Database

In this study, a web database application with the Flask framework was developed to implement three types of queries and visualize the results over a bioinformatical dataset from Alfalfa (Medicago sativa). A backend SQLite database was constructed from genome FASTA, population variations, transcriptome, and annotation files with extensions ".fasta", ".gff", "vcf", ".annotate", etc. Further, a supplementary command-line-based Java application was also developed for faster access to the database without direct SQL programming. Overall, Python, Java, and HTML were the main programming languages used in this application. Those scripts and the development procedures are valuable for bioinformaticians to build online databases from similar raw datasets of other species.

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A Natural Logic System for Large Knowledge Bases

Frontiers in Artificial Intelligence and Applications - Information Modelling and Knowledge Bases XXXII ◽

10.3233/faia200824 ◽

2020 ◽

Author(s):

Troels Andreasen ◽

Henrik Bulskov ◽

Jørgen Fischer Nilsson

Keyword(s):

Common Sense ◽

Scaling Up ◽

Inference Engine ◽

Knowledge Bases ◽

General Purpose ◽

Software System ◽

Database Application ◽

Natural Logic ◽

Common Sense Reasoning ◽

Database Operations

This paper describes principles and structure for a software system that implements a dialect of natural logic for knowledge bases. Natural logics are formal logics that resemble stylized natural language fragments, and whose reasoning rules reflect common-sense reasoning. Natural logics may be seen as forms of extended syllogistic logic. The paper proposes and describes realization of deductive querying functionalities using a previously specified natural logic dialect called Natura-Log. In focus here is the engineering of an inference engine employing as a key feature relational database operations. Thereby the inference steps are subjected to computation in bulk for scaling-up to large knowledge bases. Accordingly, the system eventually is to be realized as a general-purpose database application package with the database being turned logical knowledge base.

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