Semantic search of academic resources in a mobile computing platform

Abstract

The rapid development of wireless communication technologies and the easy access to mobile computing devices has generated an increase in the development of innovative applications to leverage the benefits of these mobile technologies. Also, over the last decades new platforms and paradigms for intelligent data processing have gained much attention from practitioners and researchers: mobile computing, use of ontologies and Web services for the rapid information processing: In this article, we present an approach for semantic search of academic resources based on the integration of a multi-dimensional ontology model with inference facilities for query answering, and the deployment of Web services for supporting a mobile application. The approach was evaluated based on a set of general competency questions which were translated into a rule-based query language. Results show that the overall solution approach is technologically viable and promising.