Beach Museum Web Application

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dc.contributor.author Kakkireni, Nithin Kumar
dc.date.accessioned 2018-04-18T13:58:08Z
dc.date.available 2018-04-18T13:58:08Z
dc.date.issued 2018-05-01 en_US
dc.identifier.uri http://hdl.handle.net/2097/38797
dc.description.abstract This project involves in developing a responsive web application for Beach Museum at Manhattan, Kansas. Application is built on development boxes using Amazon web services. Project is built on MVC architecture that helps user to search images, create their own collection from the images and include an admin module. Migrating the current existing SQL database to couchDB for better performance of the available data. Integrated Apache Lucene to support text search in the couch database writing different indexes to retrieve the results. Implementing core functionalities like basic search, advanced search, filter objects with respective to artist, decade, object type and relevance using different indexes and Mango queries in the couchDB. Search Results are further chunked and displayed to the user. Web storage API’s were used to provide the functionality for a user to create their own collection (set of Images). Built an Admin module to perform CRUD operations the database. Admin module involves in creating exhibitions, adding/editing works and artists in the couch DB. en_US
dc.description.sponsorship Marianna Kistler Beach Museum of Art en_US
dc.language.iso en en_US
dc.publisher Kansas State University en
dc.subject Web Application en_US
dc.subject CouchDB en_US
dc.subject Lucene en_US
dc.subject Web Storage en_US
dc.subject Beach Museum en_US
dc.title Beach Museum Web Application en_US
dc.type Report en_US
dc.description.degree Master of Science en_US
dc.description.level Masters en_US
dc.description.department Department of Computer Science en_US
dc.description.advisor Daniel Andresen en_US
dc.date.published 2018 en_US
dc.date.graduationmonth May en_US


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