Lecture
This lecture introduces the Semantic Web as an extension of the current Web, aiming to provide well-defined meaning to information for effective discovery and integration. The instructor discusses semantic heterogeneity, standardization, translation, and annotation as ways to overcome data interpretation challenges. Various approaches like direct schema mapping, schema matching tools, and mediated mappings are explored. The importance of ontologies in creating a universally accessible platform for data sharing and processing is highlighted. The lecture also covers the modeling and encoding of ontologies, knowledge graphs, RDF, and the Entity-Relationship Model, emphasizing the significance of reasoning capabilities and domain-specific vocabularies.