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 multi-document 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.