Construction of Semantic Web search engine from a specific context

2016 ◽  
Author(s):  
Jaime Martinez Vallejo ◽  
J. Guadalupe Ramos Diaz ◽  
Juan Carlos Olivares Rojas
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
Web Search ◽  
Specific Context ◽  
Web Search Engine

Interface features of semantic web search engine

2013 ◽  
Author(s):  
Azilawati Azizan ◽  
Zainab Abu Bakar ◽  
Normaly Kamal Ismail ◽  
Mohd Firdaus Amran
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
Web Search ◽  
Web Search Engine

Watson, more than a Semantic Web search engine

Semantic Web ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 55-63 ◽  
Author(s):  
Mathieu d'Aquin ◽  
Enrico Motta
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
Web Search ◽  
Web Search Engine

scholarly journals Searching and Browsing Linked Data with SWSE: The Semantic Web Search Engine

2011 ◽  
Author(s):  
Aidan Hogan ◽  
Andreas Harth ◽  
JJrgen Umbrich ◽  
Sheila Kinsella ◽  
Axel Polleres ◽  
...  
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
Linked Data ◽  
Web Search ◽  
Web Search Engine

scholarly journals Searching and browsing Linked Data with SWSE: The Semantic Web Search Engine

2011 ◽  
Vol 9 (4) ◽  
pp. 365-401 ◽  
Author(s):  
Aidan Hogan ◽  
Andreas Harth ◽  
Jürgen Umbrich ◽  
Sheila Kinsella ◽  
Axel Polleres ◽  
...  
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
Linked Data ◽  
Web Search ◽  
Web Search Engine

WebOWL: A Semantic Web search engine development experiment

2012 ◽  
Vol 39 (5) ◽  
pp. 5052-5060 ◽  
Author(s):  
Alexandros Batzios ◽  
Pericles A. Mitkas
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
Web Search ◽  
Web Search Engine ◽  
Engine Development

scholarly journals Semantic Web Search Engines : A Comparative Survey

2019 ◽  
pp. 107-115
Author(s):  
Anita Kumari ◽  
Jawahar Thakur
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
Retrieval System ◽  
Relevant Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Web Search Engine ◽  
Comparative Survey

Search engines play important role in the success of the Web. Search engine helps the users to find the relevant information on the internet. Due to many problems in traditional search engines has led to the development of semantic web. Semantic web technologies are playing a crucial role in enhancing traditional search, as it work to create machines readable data and focus on metadata. However, it will not replace traditional search engines. In the environment of semantic web, search engine should be more useful and efficient for searching the relevant web information. It is a way to increase the accuracy of information retrieval system. This is possible because semantic web uses software agents; these agents collect the information, perform relevant transactions and interact with physical devices. This paper includes the survey on the prevalent Semantic Search Engines based on their advantages, working and disadvantages and presents a comparative study based on techniques, type of results, crawling, and indexing.

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