Search Engine Based on Semantic Web
Abstract: With the rapid development of the World Wide Web, one of the main tools for people to get network information is search engine. However, the search results are widely condemned due to the lack of accuracy and redundancy disadvantages. The semantic web is a technology to save data in a machine-readable format that makes it possible for the machines to intelligently match that data with related data based on its semantics. This paper starts from the traditional search engine, and firstly introduces its classification, popular technology, advantages, disadvantages, and deep Knowledge on semantic-technology, thus leads to the semantic search engine model.
Keywords: SEMANTIC SEARCH ENGINE, SPARQL, SEARCH ENGINE, DBPEDIA, ONTOLOGY, LUIS
How to Cite?: Harsh Vora, Zil Shah, Shruti Gada, Yash Bhatia, Moushmee Kuri, "Search Engine Based on Semantic Web", Volume 8 Issue 4, April 2019, International Journal of Science and Research (IJSR), Pages: 137-140, https://www.ijsr.net/getabstract.php?paperid=ART20196648, DOI: https://dx.doi.org/10.21275/ART20196648