For most of the people, web interaction is a very common phase to acquire information. It is possible that in a combined environment, more than one person may try to obtain similar information in one domain. One person may like to solve a problem using an unfamiliar Apache Tomcat which he had studied by another person before. Connecting and then sharing with those persons will be more beneficial to get their learned knowledge. Fine grained knowledge sharing is proposed for this combined environment. The system is proposed to classify the surfed data into clusters and summarize the details in fine grained details. For any system the efficiency depends upon the surfing. The framework of proposed work includes: (1) Data which is surfed, clustered into tasks. (2)Then task is mined in fine grained output. To get proper result , the search method is applied to the output (mined results).The concept of Data Mining in fine grained knowledge is combined with the information gathering and classification to produce efficient data searching technique in agriculture system.

Shilpa Sachin Bhojne, Professora Assistente, Escola de Ciências e Engenharia Informática, Universidade de Sandip, Nashik.