Today’s world is being run on the internet, and every user with an electronic device is influenced by it. Researchers and developers are working on improving the application of internet and AI from the past two decades and have come a long way since then. Today the semantic web technology is being developed to create a rational computer which can read and understand the data with a vocabulary rather than just looking at it as a program or unreadable data. Semantic web technology will help the computers to understand the information of the data and use it for better functions in fields such as health, education, and economics.
Big data such as Google combines with semantic web technologies can create a massive amount of knowledge for computers. There is a vital link between the semantic web and big data which we will discuss below.
One of the biggest examples of semantic web and big data working together is the Knowledge Graph of Google. The Google Knowledge Graph was first introduced in 2012, which has a semantic knowledge base. This helps in providing better SERPs to the users based on what they search for. One example of such is finding a movie name by typing an incomplete or even incorrect dialogue which still directs you to that movie. It not only provides the most accurate search results but also offer other relevant searches for the users to search for more. Today the knowledge graph contains more than a billion objects and over 18 billion facts which connect these objects to each other. It helps in making the engine understand the purpose of the searches in order to search for relevant results. The knowledge graph is growing every day, creating better search results for people.
The other major connection between big data and semantic web is social media. Facebook has the Facebook Open Graph Protocol, which enables any web page to convert to a rich object and project it on the social graph. The Facebook Graph Search is also a semantic search engine which offers answers to the informal queries of the users. It was first introduced in 2013, and today it has over one billion users. Facebook graph search works with Big Data and provides advanced and accurate user-specific search results.
There are many graph databases which are powerful enough to store big data applications, such as AllegroGraph and Oracle Spatial and Graph. They can store up to 1 trillion triples and offer a load rate of up to 1.4 million triples per second.