Applications of Artificial Intelligence Technology in the Field of Scientific Information

Abstract

It is beyond dispute that the today's world is characterized by direct communication and internet access to vast data storage with information becoming more and more available. However, this information that is disseminated through various information channels and especially in the field of scientific information is often scattered, fragmented and unconnected, resulting in losing the correlation of its concepts and thus hinders the path to knowledge. Search engines as the right tool for researching and retrieving this data they retrieve results that are displayed sorted by the relevance of their content to the question.

However reliable search engines are, they fail to produce results on a query that can be "translated" into more than one concept. This lack and the need for machines to mimic the function of human brain resulted in the creation of the Semantic Web. While critics of the Semantic Web have questioned its appropriateness, proponents say its applications in libraries and information science, industry, biology, medicine and humanities research have already proven their validity and their contribution to providing a more interactive user experience.

The purpose of this article is to describe the use of Semantic Web and Artificial Intelligence technologies in libraries as important tools to enhance access to the ever- increasing need for full text retrieval and how the University of Piraeus Library utilizes them for an effective information retrieval of the sources available to its users.