Expert finding on social networks based on ontological learning

In the digital age, there are multitude of sites that offer content of varied proportions and aspects which need to mined. The data can be any form with generalized data as well as specialized data. Websites like Facebook and LinkedIn generate a lot of data which can be classified as general knowledge, but on other hand websites like quora, twitter and stack exchange produce a lot of data which can aid in the process of expert finding. The process of finding an expert is based on two main facets- the knowledge base available on the subject and the similarity between the knowledge shared by an individual in correlation with the original knowledge base. The mapping of data is to be done using ontological learning process. Along with this process, the link analysis approach fosters the task of finding experts