Lecture notes on Ontology and Semantic Web
| dc.contributor.author | SABRI Lyazid | |
| dc.date.accessioned | 2025-12-15T09:24:29Z | |
| dc.date.issued | 2025 | |
| dc.description | The objec ve of this course is not to serve as an exhaus ve reference work. Indeed, comprehensive studies already exist on specific topics such as XML, RDF, RDFS, SPARQL or OWL. Moreover, the field of the Seman c Web does not necessarily require a complete textbook, since defini ons, specifica ons, and prac cal guides are widely available online. We therefore adopt an approach focused on presen ng the fundamental concepts and key techniques, providing sufficient detail to enable students to master the essen al no ons and to develop their own applica ons in a construc ve and independent manner. To reinforce this learning process, the chapter also includes prac cal exercises and hands-on ac vi es designed to help students apply the concepts and consolidate their understanding through prac ce. The course presents the principles of automa c reasoning, enabling systems to infer new knowledge from exis ng informa on and suppor ng consistent decision-making. The course also covers the logical founda ons necessary for formal knowledge representa on, including classical logic and descrip on logic, which are essen al for defining rela onships between concepts and specifying constraints on data. Concrete applica ons of ontologies are illustrated across mul ple domains, including the Seman c Web, the Internet of Things (IoT), healthcare (e.g., SNOMED CT for disease classifica on), and industry, demonstra ng how ontologies facilitate interoperability, consistency, and logical reasoning over complex knowledge bases. | |
| dc.identifier.uri | https://dspace.univ-bba.dz/handle/123456789/1091 | |
| dc.language.iso | en | |
| dc.publisher | University of Mohamed El Bachir El Ibrahimi - Bordj Bou Arréridj | |
| dc.title | Lecture notes on Ontology and Semantic Web | |
| dc.type | Thesis |