Multi-document Text Summarization in E-learning System for Operating System Domain

The query answering in E-learning systems generally mean retrieving relevant answer for the user query. In general the conventional E-learning systems retrieve answers from their inbuilt knowledge base. This leads to the limitation that the system cannot work out of its bound i.e. it does not answer for a query whose contents are not in the knowledge base. The proposed system overcomes this limitation by passing the query online and carrying out multidocument summarization on online documents. The proposed system is a complete E-learning system for the domain Operating systems. The system avoids the need to maintain the knowledge base thus reducing the space complexity. A similarity check followed by multi-document summarization leads to a non-redundant answer. The queries are classified into simple and complex types. Brief answers are retrieved for simple queries whereas detailed answers are retrieved for complex queries.