Implementing a Knowledge based Band Management Tool
Keywords:
Web based tool, AngularJS, NodeJS, MongoDB, ExpressJS, and Client-Server ModelAbstract
Band management tool (BMT) is designed for music bands to organize its regular functionalities, and collect data for analytics using the knowledgebase. The tool is a multipurpose organizer that is used for coordinating the activities of a band, by collecting the musicians in each of the bands, concert details, feedbacks, planning the concert & practice sessions, and finally collecting all these details for further improvement. Musicians can also share the related information and audio clips using this tool for further enhancing their knowledge and keeping them up-to-date. This tool tries to provide a knowledge based feedback for the band owner who will use the knowledge collected to improve their band’s operational performances. The class design and implementation details of the BMT is presented in this paper.
References
- Amjad Farooq and Imran Mir, “Design and Development of a University Web Tools”, International Journal of Multidisciplinary Sciences and Engineering, vol. 1, no. 2, November 2010.
- F. J. Muñoz-Rodríguez and G. Jiménez-Castillo, “Web app for a Remote Electronics Instrumentation Lab”, IEEE Conference on Technologies applied to Electronics Teaching, Spain, 2014.
- Yunhua Gu, Shu Shen, Jin Wang and Jeong-Uk Kim, “Application of NoSQL Database MongoDB”, International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2015.
- Abdur Rahman.A and Chitra Devi S., “A Framework for Ultra-Responsive Light Weight Web Application Using Angularjs”, Online International Conference on Green Engineering and Technologies (IC-GET 2015), 2015.
- MongoDB database Documentation docs.mongodb.com
- MEAN.io. (2015) MEAN Full-Stack JavaScript Using MongoDB, Express, AngularJS, and Node.js. [Online]. Available: http://mean.io/
- Ravi Sharma and Shipra Ravi Kumar, “Strategies for Web Application Development Methodologies”, International Conference on Computing, Communication and Automation (ICCCA2016), 2016.
- Hepsiba Mabel, Justus S., Performance of the three-layered knowledgebase and its representation models: an empirical evaluation, International Journal of Knowledge Engineering and Data Mining, vol.3, no.3/4, pp.239 - 254, 2015.
- Hepsiba Mabel V, Justus Selwyn, A Review on the Knowledge Representation Models and its Implications, International Journal of Information Technology and Computer Science, vol. 8, no. 10, pp.72-81, October 2016.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT

This work is licensed under a Creative Commons Attribution 4.0 International License.