Can BIG DATA be instrumental in making searching through web browsers easier? How does it do it? Will there still be any restriction on the amount of keywords allowed to be searched?
Incorporating Artificial Intelligence In Searching Web Browser
Hi
Yes, Big Data can make a significant change in the way information is searched across the Internet. Sometimes, the information we want to search for includes a lot of keywords. However, there is always a restriction on the number of keywords allowed to be entered. This is where Big Data comes in handy. Big Data with the help of Artificial Intelligence lets its users to type in large search queries and also provides a relevant result for these queries.
Incorporating Artificial Intelligence In Searching Web Browser
“Big data”, by definition according to Gartner circa 2001 is:
“Data that contains greater variety arriving in increasing volumes and with ever-higher velocity”
This is known as the three (3) Vs. It is a field that treats or discusses ways to analyze, systematically extract information from, or else deal with data sets that are very large or complicated to be dealt with by normal data processing software. These data sets are so huge that traditional data processing software just can’t handle them.
The three Vs of Big data are:
- Volume – with big data, you need to process great volumes of low-density, unstructured data. This is why the amount of data matters. The data can be of unknown value like Twitter data feeds, clickstreams on a webpage, or sensor-enabled equipment. For several organizations, this can be tens of terabytes of data.
- Velocity – this is the fast rate at which data is received. Several internet-enabled smart products work in real-time or near real-time and will require real-time evaluation and action.
- Variety – this refers to the many types of available data. Traditional data types are structured and fit neatly in a relational database. When big data came, data comes in new unstructured data types. Examples of unstructured and semi-structured data types include text, audio, and video. They need additional pre-processing to obtain meaning and support metadata.
