Applying ontological framework for finding links into the future from web

The tremendous growth in the size of Web has created a challenge to find contextspecific information. After finding a specific content on the Web, users need to explicitly query search engines for the related information. In many cases, millions of generic hits are returned by general search engines which do not accomplish the users’ intent. To cope with this scenario, same author has already implemented a feature called ‘Links into the Future’ within a digital journal. When a user is viewing a research paper, Links into the Future provides the user with most relevant papers that have been made available after the publication date of the focused paper. The users do not need to search the related papers instead the related papers are pushed into the users’ local context. The same author has also proposed an ontological representation for this concept. However, the current work describes the complete system architecture and shows that how this ontological framework is applied to extend the notion for finding Links into the Future from Web documents. This work also shows that how the proposed ontological framework is instantiated and how individual ontology plays its role in finding the most related Links into the Future from Web documents. -- Links into the future ; ontologies ; ontological framework ; information extraction