Hadoop Based Effective Metadata Indexing for the Improvement of Information Retrieval From E-Learning Asset

Data mining

In current information technology era with the growing use of various online educational resources such e-Learning platforms, learning portals, learning object repositories etc. it is necessity to define some approach which works on indexing for this educational resources which can facilitate in the task of knowledge discovery by performing efficient and accurate searching and retrieving operation on this learning resources. Traditional approach use on TF-IDF(term frequency-inverse document frequency) based automatic indexing which works on bag of word model and result in high dimensionality search space To solve this problem we proposed ontology based indexing approach which use OF-IDF (ontology frequency-inverse document frequency) and overcome the shortcoming of traditional indexing approach which is based on TF-IDF. We also develop recommendation engine which recommend the indexing article based on computer programming domain related ontology.

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