RDF data model

What is the RDF data model?

The Resource Description Framework, or RDF, is a graph data model that describes the semantics, that is, the meaning of information. It is essentially a framework that is used for the purpose of representing information on the web.

This framework has been built around existing web standards, namely XML and URL (URI).

It has been developed to be used for:

  • Giving data about web resources and the systems that make use of these resources (representing web metadata).
  • Applications that cannot simply use constrained information models and need open information models instead.
  • Making it possible for application data to be processed outside the specific environment in which the data was created.
  • Combining data from multiple applications for the purpose of generating new data.
  •  Providing a global lingua franca for software agents to use to automate the processing of web information.


The design of the Resource Description Framework was envisaged to meet the goals described below:

  • Possessing a simple data model.
  • Having formal semantics and inference that can be proved.
  • Employing an extensible URI-based vocabulary.
  • Making use of an XML-based syntax.
  • Permitting the usage of use of XML schema datatypes.
  • Making it possible for anybody to make statements about any resource.


What are the fundamental concepts of RDF?

The core structure of the abstract syntax in RDF is a set of triples, which is known as an RDF graph. You can visualize this as a node and directed-arc diagram where every triple is represented as a node-arc-node link.

The three kinds of nodes that can be present in an RDF graph are IRIs, literals, and blank nodes.

1. IRIs

An IRI or an Internationalized Resource Identifier is essentially a Unicode string which conforms to the syntax defined in RFC 3987. The IRIs need to be absolute and they can contain a fragment identifier.


2. Literals

These are used values like strings, numbers, and dates. Here are the elements that a literal consists of:

  • A lexical form. This is a Unicode string and must be in Normal Form C.
  • A datatype IRI, which is a type of IRI that identifies a datatype that determines how the lexical form maps to a literal value.
  • Only in cases where the datatype IRI is http://www.w3.org/1999/02/22-rdf-syntax-ns#langString, the literal will also consist of a non-empty language tag as defined by BCP 47. This language tag needs to be well-formed according to section 2.2.9 of BCP 47.


3. Blank nodes

These are disjoint from IRIs and literals. Otherwise, the set of possible blank nodes is arbitrary. The Resource description framework does not make any reference to any internal structure of blank nodes.

Here are some other key concepts used by RDFs:


4. Graph data model

This is a process in which an arbitrary domain is described as a connected graph of nodes and relationships with properties and labels. Some relationship (which is indicated by the predicate of a triple), holds between the things signified by the subject and the object of the triple. 

Since the assertion of an RDF graph amounts to asserting all the triples in it, the meaning of an RDF graph happens to be the conjunction (logical AND) of the statements corresponding to all its triples.


5. Expression of Simple Facts

Some simple facts denote a relationship between two things. A fact like this can be represented as an RDF triple in which the relationship is named by the predicate, and the subject and object denote the two things that are related to each other.


6. Entailment

An RDF expression X essentially entails another RDF expression Y if every possible arrangement of things that makes X true will also make Y true. In this situation, if the truth of X is demonstrated or presumed, then the truth of Y can be inferred.


What is an RDF server?

An RDF server or RDF database is a kind of graph database that stores triples. It performs retrieval in the triple format as a more specific way of receiving and viewing the data. 

Though the information is organized into sets of triples, it can also be displayed to the user in graphical form.

An RDF database needs to provide data storage, store the data as triples, and enable users to retrieve the data using query language.

What are the components of RDF?

While an RDF abstract syntax is a set of triples, aka, an RDF graph, an RDF triple is made up of three components.

  • The subject: This can be an RDF URI reference or a blank node.
  • The predicate: This is an RDF URI reference. It is also known as a property. It signifies a relationship.
  • The object: This can be an RDF URI reference, a literal, or even a blank node


What is the use of the resource description framework?

The resource description framework (RDF) is used to allow the effective integration of data from various sources, which detaches data from its schema. This makes it possible to apply, interlink, and query several schemas as one and to modify them without making any changes at all to the data instances.

Is RDF a standard?

Yes, Resource Description Framework (RDF) does happen to be a standard model for data interchange on the web. It supports the evolution of schemas over time without any need for all the data consumers to be changed.

RDF essentially makes it possible to mix, expose, and share structured and semi-structured data across various applications.

What is the difference between RDF and OWL?

The difference between RDF and OWL is that the Resource Description Framework gives us standardizations for the vocabulary that is used to characterize ontologies and ontologies are summarized under the umbrella of the Web Ontology Language (OWL) family.

OWL essentially adds semantics to the schema. It makes it possible for you to specify much more about the properties and classes.

RDF defines how to write ontologies. It is a specification that shows you how to define triples. However, it cannot assist you in validating what you wrote.

OWL is a specification that tells you what you can write using RDF to have a valid ontology.


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RDF data model

October 14, 2020

Table of contents

Key takeawaysCollaboration platforms are essential to the new way of workingEmployees prefer engati over emailEmployees play a growing part in software purchasing decisionsThe future of work is collaborativeMethodology

What is the RDF data model?

The Resource Description Framework, or RDF, is a graph data model that describes the semantics, that is, the meaning of information. It is essentially a framework that is used for the purpose of representing information on the web.

This framework has been built around existing web standards, namely XML and URL (URI).

It has been developed to be used for:

  • Giving data about web resources and the systems that make use of these resources (representing web metadata).
  • Applications that cannot simply use constrained information models and need open information models instead.
  • Making it possible for application data to be processed outside the specific environment in which the data was created.
  • Combining data from multiple applications for the purpose of generating new data.
  •  Providing a global lingua franca for software agents to use to automate the processing of web information.


The design of the Resource Description Framework was envisaged to meet the goals described below:

  • Possessing a simple data model.
  • Having formal semantics and inference that can be proved.
  • Employing an extensible URI-based vocabulary.
  • Making use of an XML-based syntax.
  • Permitting the usage of use of XML schema datatypes.
  • Making it possible for anybody to make statements about any resource.


What are the fundamental concepts of RDF?

The core structure of the abstract syntax in RDF is a set of triples, which is known as an RDF graph. You can visualize this as a node and directed-arc diagram where every triple is represented as a node-arc-node link.

The three kinds of nodes that can be present in an RDF graph are IRIs, literals, and blank nodes.

1. IRIs

An IRI or an Internationalized Resource Identifier is essentially a Unicode string which conforms to the syntax defined in RFC 3987. The IRIs need to be absolute and they can contain a fragment identifier.


2. Literals

These are used values like strings, numbers, and dates. Here are the elements that a literal consists of:

  • A lexical form. This is a Unicode string and must be in Normal Form C.
  • A datatype IRI, which is a type of IRI that identifies a datatype that determines how the lexical form maps to a literal value.
  • Only in cases where the datatype IRI is http://www.w3.org/1999/02/22-rdf-syntax-ns#langString, the literal will also consist of a non-empty language tag as defined by BCP 47. This language tag needs to be well-formed according to section 2.2.9 of BCP 47.


3. Blank nodes

These are disjoint from IRIs and literals. Otherwise, the set of possible blank nodes is arbitrary. The Resource description framework does not make any reference to any internal structure of blank nodes.

Here are some other key concepts used by RDFs:


4. Graph data model

This is a process in which an arbitrary domain is described as a connected graph of nodes and relationships with properties and labels. Some relationship (which is indicated by the predicate of a triple), holds between the things signified by the subject and the object of the triple. 

Since the assertion of an RDF graph amounts to asserting all the triples in it, the meaning of an RDF graph happens to be the conjunction (logical AND) of the statements corresponding to all its triples.


5. Expression of Simple Facts

Some simple facts denote a relationship between two things. A fact like this can be represented as an RDF triple in which the relationship is named by the predicate, and the subject and object denote the two things that are related to each other.


6. Entailment

An RDF expression X essentially entails another RDF expression Y if every possible arrangement of things that makes X true will also make Y true. In this situation, if the truth of X is demonstrated or presumed, then the truth of Y can be inferred.


What is an RDF server?

An RDF server or RDF database is a kind of graph database that stores triples. It performs retrieval in the triple format as a more specific way of receiving and viewing the data. 

Though the information is organized into sets of triples, it can also be displayed to the user in graphical form.

An RDF database needs to provide data storage, store the data as triples, and enable users to retrieve the data using query language.

What are the components of RDF?

While an RDF abstract syntax is a set of triples, aka, an RDF graph, an RDF triple is made up of three components.

  • The subject: This can be an RDF URI reference or a blank node.
  • The predicate: This is an RDF URI reference. It is also known as a property. It signifies a relationship.
  • The object: This can be an RDF URI reference, a literal, or even a blank node


What is the use of the resource description framework?

The resource description framework (RDF) is used to allow the effective integration of data from various sources, which detaches data from its schema. This makes it possible to apply, interlink, and query several schemas as one and to modify them without making any changes at all to the data instances.

Is RDF a standard?

Yes, Resource Description Framework (RDF) does happen to be a standard model for data interchange on the web. It supports the evolution of schemas over time without any need for all the data consumers to be changed.

RDF essentially makes it possible to mix, expose, and share structured and semi-structured data across various applications.

What is the difference between RDF and OWL?

The difference between RDF and OWL is that the Resource Description Framework gives us standardizations for the vocabulary that is used to characterize ontologies and ontologies are summarized under the umbrella of the Web Ontology Language (OWL) family.

OWL essentially adds semantics to the schema. It makes it possible for you to specify much more about the properties and classes.

RDF defines how to write ontologies. It is a specification that shows you how to define triples. However, it cannot assist you in validating what you wrote.

OWL is a specification that tells you what you can write using RDF to have a valid ontology.


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