Semantic Web with Big data

Posted Posted in Artificial Intelligence, Computer technology, Innovations, Mobile Technology

Definition

Semantic Web is a snare of data. It associates in a way that can process easily by machines instead of human operators. You can say that , it is an extension of WWW(World Wide Web). RDF(Resource Description Framework) is the fundamental of semantics.

Zaptox explains Semantic Web

Basically, it is prompt by W3C (World Wide Web Consortium). In other words it builds on W3C’s RDF(Resource Description Framework). As well as use syntax to represent data that uses URIs (Uniform Resource Identifiers). So, you can say that these syntaxes are RDF syntaxes.

If you don’t have idea about RDF click here.

Semantic is the future web. Actually, the main goal of this web to enable users to search the particular data quickly and easily. The semantic web is the vision for the future in which data will be quickly interpreted by machines. It will take the user to its exact place, for which he is searching for. In other words, semantic web allows machines to quickly understand. And react the human subjects or requests to their meanings.

How does semantic web and big data work together?

It’s so simple!

Semantic web stores the data and information in a knowledge graph. For Example: Barack Obama is stored as related to Michelle Obama and to Malia.

Barack Obama, Semantic web example

So, when you search for Barack Obama’s wife. Search result return Michelle Obama. The relationship between the two is that of spouse.

Moreover, this unique identifier helps to create the relationship between two entities. This aspect of semantic web will help increase the specificity of search queries. As well as information retrieve in order to serve more accurate search results.

Any sem web definition must always deal with the meaning of Ontologies.

What is Ontology?

Ontology is a formal specification that provides shareable and reusable knowledge representation. For Example: taxonomies, thesauri, topic maps, formal ontologies.

Please follow and like us: