Authors : Rishabh Bhandari, Vikas Deep and Naveen Garg
Abstract: An enormous amount of data exists on the internet; there are millions of web pages online which contain some sort of content. WWW is the biggest database on the planet and every hour peta bytes of data is being uploaded stored in databases of various websites. Now, this data is not stored in a defined way, it is just stacked up. The data online is semantically unstructured and that is why sometimes it is difficult to extract a particular data from such a giant stack. Most of the content on the web is in the form of HTML coding. There are various ways in which data can be extracted by keeping HTML coding as the base. This study discusses some of these methods and gives a literature review over them.
Rishabh Bhandari, Vikas Deep and Naveen Garg, 2018. Data Extraction in Semantic Web: Literature Review. Journal of Engineering and Applied Sciences, 13: 3284-3288.