EMMO MODEL FOR E-LEARNING
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 11)Publication Date: 2015-11-30
Authors : Bineeta Kumari Gupta;
Page : 231-239
Keywords : ProxyMITY; Query optimization; indexing; ontology; EMMO Nodes; B Trees; Lucene; Optical Character Recognition;
Abstract
Online learning is becoming a revolutionary force for improvement in education standards and quality. The applications include digital libraries (text documents, images, sound, video), manufacturing and retailing, art and entertainment, journalism and so on.. Normal databases are incapable of handling such wide range and huge amount of data. So we need database to support storage, indexing, retrieval of huge and wide variety of data. This paper present a different way of storing multimedia data in order facilitate easy indexing and retrieval- EMMO. The motivation for the development of the Emmo model is the desire to realize multimedia content sharing and collaborative applications on the basis of semantically modeled content but to avoid the limitations and difficulties of current semantic modeling approaches implied by their isolated treatment of media, semantic description, and content functionality. ProxyMity Web Publish tool allow the user to create a composite lecture by retrieving Lecture videos and Presentation Slides from the database. This lecture and slides are bind together and displayed to the user in the form of HTML browser application. By using EMMO Model, the media aspects, semantic aspects and functional aspects of Lecture video, Presentation slides and any multi-media data are stored in the database. This provides the efficient storage of content in the database, supports content-based queries over multimedia objects. It is an attempt to create software for integrating different multimedia data with respect to the users’ necessity.
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Last modified: 2015-11-08 17:27:04