Beach Museum Web Application

dc.contributor.authorKakkireni, Nithin Kumar
dc.date.accessioned2018-04-18T13:58:08Z
dc.date.available2018-04-18T13:58:08Z
dc.date.graduationmonthMayen_US
dc.date.issued2018-05-01en_US
dc.date.published2018en_US
dc.description.abstractThis 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.advisorDaniel A. Andresenen_US
dc.description.degreeMaster of Scienceen_US
dc.description.departmentDepartment of Computer Scienceen_US
dc.description.levelMastersen_US
dc.description.sponsorshipMarianna Kistler Beach Museum of Arten_US
dc.identifier.urihttp://hdl.handle.net/2097/38797
dc.language.isoenen_US
dc.publisherKansas State Universityen
dc.subjectWeb Applicationen_US
dc.subjectCouchDBen_US
dc.subjectLuceneen_US
dc.subjectWeb Storageen_US
dc.subjectBeach Museumen_US
dc.titleBeach Museum Web Applicationen_US
dc.typeReporten_US

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