Towards Semantic Web

Abstract

The World Wide Web is a huge source of information and knowledge. But most of these are of little use when it comes to automated manipulation of the data because of their unstructured nature. Nowadays approach towards storing web content semantically is providing a great deal of meaningful data which can be used for automated data manipulation. Wikipedia, social networks like Twitter, Facebook, Google knowledge directory are some of the huge semantic web data. We are having a rapid increase of web users here in Bangladesh but unfortunately, the local Bangla websites are very unstructured. Even some of the best search engines are inefficient for retrieving data from these web contents. So a semantic approach towards building structured web content from now on will provide opportunities to the automated machines to manipulate more meaningful data. Guiding users towards more meaningful queries will certainly enhance the efficiency of search engines. Our goal is to create semantic knowledge on Bangla keywords to guide users for more efficient web data retrieval.

Paper