Personalised information recommender using framework for ontology alignment among digital libraries

Abstract

In the digital era ontology is considered as one of the powerful tools for knowledge representation and efficient information retrieval. Ontology alignment is a process that discovers mapping between source and target ontologies, where each mapping is a relationship based on some similarity measure. This paper, has presented a new context aware alignment approach that needs little human intervention and it can map multiple ontologies to generate user interest dynamically. The objective is to design and develop an ontology alignment model that provides more benefits to its stakeholders in sharing resources and searching across digital libraries based on priorities of users. The experimental results evidently indicate significant improvement in search results when user profile and navigational pattern ontologies are aligned with digital library ontology.