Semantic-oriented Architectures and Use of Ontology for Organizing Adaptive Search in Digital Libraries

Abstract

Over time, the number of knowledge systems is growing and gaining popularity in various fields such as business, science, training, and etc. Their use has been particularly beneficial for the learning process. The use of a digital library is growing over time because the information stored and delivered is reliable, structured and ready to use. Learners not always have necessary knowledge and skills to search for information in a digital library, as their experience in the information space is limited. This necessitates the development of functionalities that facilitate the process of search in a digital library, like semantic-based search, multi-criteria search, contextual search, adaptive search, and etc. The article presents the architecture of a Functional Module for Adaptive Search in a digital library and its main components. The basic scheme of adaptive and customizable logic is also presented. The article ends with directions for future development of the architecture.

ACM Computing Classification System (1998): H.3.7, K.3.1.