Model of a Semantic Web Search Engine for Multimedia Content Retrieval

2007 ◽  
Author(s):  
Mohan Ponnada ◽  
Nalin Sharda
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
Web Search ◽  
Multimedia Content ◽  
Web Search Engine ◽  
Content Retrieval

Requirements to a Search Engine for Semantic Multimedia Content

2014 ◽  
Vol 5 (4) ◽  
pp. 53-65
Author(s):  
Lydia Weiland ◽  
Felix Hanser ◽  
Ansgar Scherp
Keyword(s):  
Search Engine ◽  
Web Search ◽  
User Study ◽  
Quantitative Information ◽  
Multimedia Content ◽  
Structured Interviews ◽  
Web Search Engine ◽  
Multimedia Search ◽  
Multimedia Search And Retrieval ◽  
Search And Retrieval

The authors investigate user requirements regarding the interface design for semantic multimedia search and retrieval based on a prototypical implementation of a search engine for multimedia content on the web. Thus, unlike existing image or video search engines, they are interested in true multimedia content combining different media assets into multimedia documents like PowerPoint presentations and Flash files. In a user study with 20 participants, the authors conducted a formative evaluation based on the think-aloud method and semi-structured interviews in order to obtain requirements to a future web search engine for multimedia content. The interviews are complemented by a paper-and-pencil questionnaire to obtain quantitative information. As a result, the authors elicit requirements to a web search engine for multimedia content. Among them, scalability and personalization of the presented information are identified as the main goals. Based on the requirements, they present mockups demonstrating the user interface of a future multimedia search and retrieval 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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