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Using automatic extraction of keywords and semi-automatic creation of domain ontologies it is possible to achieve a richer description of learning resources, with positive effects on subsequent searches. Based on this concept, we developed a repository named TREE - Teaching Resources for Engineering Education, to
The existing search engines retrieve information only based on the keywords. The incapability to search on the basis of the relation between the keywords and the user concepts, generates noise and hence, results in irrelevant retrieval. This leads to the idea of performing Semantic information processing by mapping
The inability of the present search engines to map the retrieved result set using semantics of the query keywords has been discussed. The present study suggests a framework to improve the mapping of Concept and Context of the query keywords and thereby remove noise from the query. This ensures more relevant and
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.