A Comparative Study on Serial and Parallel Web Content Mining

World Wide Web (WWW) is such a repository which serves every individuals need starting with the context of education to entertainment etc. But from users point of view getting relevant information with respect to one particular context is time consuming and also not so easy. It is because of the volume of data which is unstructured, distributed and dynamic in nature. There can be automation to extract relevant information with respect to one particular context, which is named as Web Content Mining. The efficiency of automation depends on validity of expected outcome as well as amount of processing time. The acceptability of outcome depends on user or user's policy. But the amount of processing time depends on the methodology of Web Content Mining. In this work a study has been carried out between Serial Web Content Mining and Parallel Web Content Mining. This work also focuses on the frame work of implementation of parallelism in Web Content Mining.