Investigation of Automatic Data Extraction Method from Complex Web Pages
Abstract: The Internet presents great deal of helpful info that is sometimes formatted for its users, that makes it laborious to extract relevant knowledge from numerous sources. Therefore, there's a big would like of strong, versatile info Extraction systems that remodel the net pages into program friendly structures like a computer database can become essential. The projected system focuses on info extraction from websites. We tend to cluster the net documents supported the common example structures so the example for every cluster is extracted at the same time. The planet wide net could be a huge and speedily growing supply of helpful info that is employed to publish and access the knowledge on the net. It uses totally different templates with contents for providing quick access for readers. This is often wont to extract info from example websites.
Keywords: Information Extraction, Clustering, Minimum Description Length Principle, MinHash, Template extraction, Clustering web pages
How to Cite?: Nitin More, Rupali A. Mangrule, "Investigation of Automatic Data Extraction Method from Complex Web Pages", Volume 10 Issue 11, November 2021, International Journal of Science and Research (IJSR), Pages: 668-671, https://www.ijsr.net/getabstract.php?paperid=SR211112161356, DOI: https://dx.doi.org/10.21275/SR211112161356