01. Semantic Technologies: The Foundation of Meaning, Models, and the Semantic Web скачать в хорошем качестве

01. Semantic Technologies: The Foundation of Meaning, Models, and the Semantic Web

This video provides an introduction to Semantic Technologies, exploring how machines are enabled to understand, interpret, and process human language and data meaningfully. Semantic Technologies are founded upon structured data, ontologies, and reasoning mechanisms. Key Topics Covered: • The Quest for Semantics: This endeavor involves building models to describe the world abstractly for easier understanding, computing with encoded knowledge to draw meaningful conclusions, and exchanging complex information resources globally among computers. • Building Models and Ontology: We examine the history of scientific modeling, tracing concepts back to ancient philosophy, including Plato's contributions to the philosophical field of ontology (the study of existence and being). In computer science, an ontology is defined as a machine-processable specification of knowledge about a domain of interest. • Classification and Structure: The video discusses Aristotle's methods of classification, the role of classification in understanding natural objects and organizing human-made items (like books in a library), and the use of structures like concept hierarchies and inheritance. We also explore how modern approaches move beyond simple hierarchies, utilizing non-hierarchical structures (like the Periodic Table) and classifying objects using multiple facets. • Calculating with Knowledge: We explore the formalization of logical deduction, exemplified by Aristotle's work, and later developments by figures such as George Boole (propositional logic) and Gottlob Frege (quantification). • The World Wide Web and Semantic Web: The video outlines the history of information exchange, from the advent of ARPANET and the Internet Protocol Suite to the emergence of the World Wide Web and the subsequent rise of read-write culture. We discuss the need for improved information management beyond classical text-based search, leading to techniques like tagging for non-text-based content (e.g., videos and pictures). • The Semantic Web Ideal: The Semantic Web is introduced as an extension of the World Wide Web aimed at enabling computers to intelligently search, combine, and process content based on its intended meaning (semantics). This requires the meaning of Web resources to be explicitly specified in a computer-processable format. The Semantic Web relies on standards developed by the W3C, such as RDF (Resource Description Framework), OWL (Web Ontology Language), and SPARQL (Protocol and RDF Query Language), contributing to the concept of Linked Data. -------------------------------------------------------------------------------- This video content was generated and structured using notebooklm, drawing exclusively upon lecture excerpts detailing Semantic Technologies and Enterprise Modelling Ontologies. -------------------------------------------------------------------------------- #SemanticTechnologies #SemanticWeb #Ontology #KnowledgeRepresentation #EnterpriseModelling #ScientificModeling #Classification #Aristotle #Plato #LogicDeduction #W3CStandards #RDF #OWL #SPARQL #LinkedData #InformationExchange #WebofData #Tagging #Computer Science