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Semantic technology

The ultimate goal of semantic technology is to help machines understand data. Well-known technologies that enable the encoding of semantics in data include the Resource Description Framework (RDF) and the Web Ontology Language (OWL). These technologies formally represent the meaning involved in information. For example, ontology can describe concepts, relationships between things, and categories of things.

Information technologyInformation technologyInformation technology (IT) is the study or use of computers, telecommunication systems and other devices to create, process, store, retrieve and transmit information. While the term is commonly used to refer to computers and computer networks, it also encompasses other information distribution technologies such as television and telephones. Information technology is an application of computer science and computer engineering.Knowledge graphKnowledge graphIn knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics or relationships underlying these entities.SemanticsSemanticsStudy of meaning in languageA central topic in semantics concerns the relation between language, world, and mental concepts.Semantics is the study of linguistic meaning. It examines what meaning is, how words get their meaning, and how the meaning of a complex expression depends on its parts. Part of this process involves the distinction between sense and reference.SoftwareSoftwareSoftware (SW) consists of computer programs that instruct the execution of a computer. Software also includes design documents and specifications. The history of software is closely tied to the development of digital computers in the mid-20th century. Early programs were written in the machine language specific to the hardware.Knowledge representation and reasoningKnowledge representation and reasoningKnowledge representation (KR) aims to model information in a structured manner to formally represent it as knowledge in knowledge-based systems whereas knowledge representationand reasoning (KRR, KR&R, or KR²) also aims to understand, reason, and interpret knowledge.Information extractionInformation extractionInformation extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources. Typically, this involves processing human language texts by means of natural language processing (NLP).Semantic WebSemantic WebSemantics ofprogramming languagesLanguageLinguisticsThe Semantic Web, sometimes known as Web 3.0, is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable. To enable the encoding of semantics with the data, technologies such as Resource Description Framework (RDF) and Web Ontology Language (OWL) are used. These technologies are used to formally represent metadata.Web Ontology LanguageWeb Ontology LanguageFamily of knowledge representation languages OWL Web Ontology LanguageAbbreviationOWLStatusPublishedYear started2004; 22 years agoEditorsMike Dean (BBN Technologies), Guus SchreiberBase standardsResource Description Framework, RDFSRelated standardsSHACLDomainSemantic WebWebsiteOWL Reference OWL 2 Web Ontology LanguageAbbreviationOWL 2StatusPublishedYear started2009EditorsW3C OWL Working GroupBase standardsResource Description Framework, RDFSDomainSemantic WebWebsiteOWL 2 Overview The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies.Ontology (information science)Ontology (information science)In information science, an ontology encompasses a representation, formal naming, and definitions of the categories, properties, and relations between the concepts, data, or entities that pertain to one, many, or all domains of discourse. More simply, an ontology is a way of showing the properties of a subject area and how they are related, by defining a set of terms and relational expressions that represent the entities in that subject area.DataDataData ( , US also ) is a collection of discrete or continuous values that conveys information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum, data value or data point is an individual value in a collection of data.Semantic layerA semantic layer is a business representation of corporate data that helps end users access data autonomously using common business terms managed through business semantics management. A semantic layer maps complex data into familiar business terms such as product, customer, or revenue to offer a unified, consolidated view of data across the organization.Resource Description FrameworkThe Resource Description Framework (RDF) is a method to describe and exchange graph data. It was originally designed as a data model for metadata by the World Wide Web Consortium (W3C). It provides a variety of syntax notations and formats, of which the most widely used is Turtle (Terse RDF Triple Language). RDF is a directed graph composed of triple statements.

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