Document based semantic CMS in cloud

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Abstract

Cloud computing allows accessing resources across Internet without intervention of an expertise and without a control over the underlying infrastructure. Content Management System (CMS) is one of the domains identified in Software as a Service (SaaS) in cloud computing. The amount of digital content is increasing at accelerating speed and CMS is a way of organizing such content. The content organized is reproduced in desired pattern or format by providing procedures to manage work flow. Document databases are used to manage and organize chunks of data, build indexes and cross link tlie documents and comments etc. The content referred in the net through any website will tend to change over time. In order to manage these contents online document based CMS with automatic URL indexing is very much essential. It's highly possible that the content in CMS will be redundant over the web as most of the time the content will be gathered from already existing websites. Back tracking the source of such content will become obsolete and also changes to the source are difficult to be tracked. In this study it is proposed to reinvent the document based CMS in cloud. The proposed document based CMS varies from these traditional CMS in architecture in storage and control flow. Source URLs and content markings are indexed and mirrored. In this study the URLs and content marked in the source websites are stored in the database. The source content and URLs are stored separately, the marked content in the user blog is highlighted and semantically processed with a NLP tool. The marked content is semantical^ matched with concept matching and named entity recognition technique. The semantically annotated content are located in the stored websites and matched with the original source websites. This study comprises of initial work of implementing annotation technique and location of the marked content in die document. The results are evaluated with the metrics like recall and precision techniques and appropriate graphs were plotted.

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APA

Priyadarshini, R., & Tamils, L. (2014). Document based semantic CMS in cloud. Information Technology Journal, 13(2), 217–230. https://doi.org/10.3923/itj.2014.217.230

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