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Semantic search engine using joomla framework with modified tf-idf and trapriori algorithm.
| Content Provider | CiteSeerX |
|---|---|
| Author | Jain, Yogendra Kumar Saxena, Payal Rajput, Rustam Singh |
| Abstract | As the amount of data available in a repository increases, content retrieval from the huge data stored in the repository becomes a tedious task. Though Content Management System helps us to manage the data, yet searching the relevant data is still a daunting task. For that, we need efficient Search Algorithms for maximizing the correlation between data required and data returned by semantic search engine. Many courseware repositories is an interface through which various students, teachers, etc can access on-line learning material, course contents, presentations, videos, lectures etc. in this paper we present a technique that automatically constructs ontology from the given courseware repositories. A search engine mechanism is developed that provide a semantic search capability based on a modified TF-IDF(term frequency |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Semantic Search Engine Modified Tf-idf Joomla Framework Trapriori Algorithm Semantic Search Capability Various Student Huge Data Content Retrieval Repository Increase Term Frequency Tedious Task Content Management System Relevant Data Efficient Search Algorithm Course Content Courseware Repository Many Courseware Repository Search Engine Mechanism |
| Content Type | Text |
| Resource Type | Article |
