The Vision of Semantic Web

Knowledge discovery is a process that seeks new knowledge about an application domain. It consists of many steps, one of which is data mining, each aiming to complete a discovery task, and accomplished by the application of a discovery method [1]. On this subject, the Semantic Web (SW) is an effort to interchange unstructured data over the Web into a structured format that is processable not only by human beings but also by computers [2]. The SW creates a distributed framework to publish, query, and reuse information [3]. The key backbones of SW are ontologies and annotations that provide semantics for raw data are known as Resource Description Framework (RDF) data [4]. The RDF data can also be published over Linked Open Data (LOD) cloud. To highlight the vision of SW, we would like to run a tutorial. The main goal of this tutorial is to provide background knowledge about SW, RDF, Web Ontology Language (OWL), SPARQL, knowledge graph, graph databases, and SW-based applications. This tutorial will show how SW provides explicit models of the terminology of a domain to improve information access.