Work place: COMSATS Institute of Information Technology /Department of Computer Science, Wah Cantt, 47040, Pakistan
E-mail: wasifnisar@gmail.com
Website:
Research Interests: Software Development Process, Software Engineering, Computer systems and computational processes, Distributed Computing
Biography
Muhammad Wasif Nisar received his PhD degree candidate in computer science from Institute of Software, GUCAS China in 2008. He received his BSc degree in 1998 and MSc degree computer science in 2000 from University of Peshawar, Pakistan. His research interest includes software estimation, software process Improvement, distributed systems, semantic search engines, databases and CMMI-based project management.
Email:wasifnisar@gmail.com
By Junaid Rashid Muhammad Wasif Nisar
DOI: https://doi.org/10.5815/ijitcs.2016.10.10, Pub. Date: 8 Oct. 2016
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.
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