A Study on Semantic Searching, Semantic Search Engines and Technologies Used for Semantic Search Engines

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Author(s)

Junaid Rashid 1,* Muhammad Wasif Nisar 1

1. COMSATS Institute of Information Technology /Department of Computer Science, Wah Cantt, 47040, Pakistan

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2016.10.10

Received: 4 Jan. 2016 / Revised: 23 Apr. 2016 / Accepted: 5 Jul. 2016 / Published: 8 Oct. 2016

Index Terms

Semantic, Semantic Searching, Semantic Search Engine, Hakia, RDF

Abstract

Semantic search engines(SSE) are more efficient than other web engines because in this era of busy life everyone wants an exact answer to his question which only semantic engines can provide. The immense increase in the volume of data, traditional search engines has increased the number of answers to satisfy the user. This creates the problem to search for the desired answer. To solve this problem, the trend of developing semantic search engines is increasing day by day. Semantic search engines work to extract the best answer of user queries which exactly fits with it. Traditional search engines are keyword based which means that they do not know the meaning of the words which we type in our queries. Due to this reason, the semantic search engines super pass the conventional search engines because they give us meaningful and well-defined information. In this paper, we will discuss the background of Semantic searching, about semantic search engines; the technology used for the semantic search engines and some of the existing semantic search engines on various factors are compared.

Cite This Paper

Junaid Rashid, Muhammad Wasif Nisar, "A Study on Semantic Searching, Semantic Search Engines and Technologies Used for Semantic Search Engines", International Journal of Information Technology and Computer Science(IJITCS), Vol.8, No.10, pp.82-89, 2016. DOI:10.5815/ijitcs.2016.10.10

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