  This paper focuses on building a blog search engine which doesn't focus only
on keyword search but includes extended search capabilities. It also
incorporates the blog-post concept clustering which is based on the category
extracted from the blog post semantic content analysis. The proposed approach
is titled as "BloSen (Blog Search Engine)". It involves in extracting the posts
from blogs and parsing them to extract the blog elements and store them as
fields in a document format. Inverted index is being built on the fields of the
documents. Search is induced on the index and requested query is processed
based on the documents so far made from blog posts. It currently focuses on
Blogger and Wordpress hosted blogs since both these hosting services are the
most popular ones in the blogosphere. The proposed BloSen model is experimented
with a prototype implementation and the results of the experiments with the
user's relevance cumulative metric value of 95.44% confirms the efficiency of
the proposed model.

Information Retrieval