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2020 » Papers » Volume 1 » Designing an Ontology for Knowledge-Based Processing in Romanian Academic Libraries 1. DESIGNING AN ONTOLOGY FOR KNOWLEDGE-BASED PROCESSING IN ROMANIAN ACADEMIC LIBRARIES Authors: Tomescu Silvia-Adriana, Trausan-Matu Stefan, Dascalu Mihai, Gutu-Robu Gabriel, RUSETI Stefan Volume 1 | DOI: 10.12753/2066-026X-20-015 | Pages: 119-126 | Download PDF | Abstract
The analysis of ontologies' role in knowledge processing has both theoretical and pragmatic foundations, taking into account that ontologies are a core component of knowledge representation within the semantic web. The necessity for the development of the Lib2Life ontology emerged alongside the Smart Search project that has as a central objective the design of a semantic indexing and search system for digitized documents shared by the Romanian central university libraries. This project has a high degree of innovation taking into account the fact that, at national scale, there is no dedicated platform that aggregates the joint collection of digitized documents. Thus, the following research question arises, centered on identifying a suitable data model to corresponding map topics and improve content discovery. The proposed methodology for ontology design includes: (a) ontology purpose set up; (b) conceptualization of the subject domains; (c) formalization; (d) implementation; (e) evaluation and maintenance. The conceptualization stage involves defining the glossary of terms, as well as building taxonomies for 17 specific categories. Afterwards, the ontology was semantically enhanced with properties and axioms (i.e., description of binary relations, class attributes, instance attributes, and formal axioms). Our model was designed using the Prot?g? editor, we used OWL as ontology standard language, and OntoGraph for visualization and navigation. Overall and considering knowledge organization systems, ontologies enclose specific features: coherent in terms of structure, organizing information and meaning of notions; accurate by problem solving and reasoning; extensible, allowing conceptual developments according to science evolution and users' needs, and reusable for follow-up experiments. Moreover, ontology design applied onto knowledge domains improves the efficiency and effectiveness of semantic content search and retrieval process of relevant meta-tagged resources. | Keywords
Knowledge processing, Ontology design, Semantic web, RDF/OWL, Metadata |
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