Comparative Study on Semantic Search Engines

Abstract

Current World Wide Web also recognized as Web 2.0 is an immense library of interlinked documents that are transferred by computers and presented to people. Search engine is considered the most important tool to discover any information from WWW. Inspite of having lots of development and novel research in current search engines techniques, they are still syntactic in nature and display search results on the basis of keyword matching without understanding the meaning of query, resulting in the production of list of WebPages containing a large number of irrelevant documents as an output. Semantic Web (Web 3.0), the next version of World Wide Web is being developed with the aim to reduce the problem faced in Web 2.0 by representing data in structured form and to discover such data from Semantic Web, Semantic Search Engines (SSE) are being developed in many domains. This paper provides a survey on some of the prevalent SSEs focusing on their architecture; and presents a comparative study on the basis of technique they follow for crawling, reasoning, indexing, ranking etc.

Comparative Study of Semantic and Keyword Based Search Engines

“…Once a different keyword is found, they expand on it to find similar keywords for that keyword [17]. Keyword suggestion tools usually aid the process of finding similar keywords such as in [18] where substitutional keywords are the suggestions for the query. There are many techniques used in keyword search engines such as identify the core of the keyword, research related search terms, create a list of main terms and long-tail keywords, use the Google AdWords keyword planner…etc.…”

“…There are many examples of SSEs such as Hakia, DuckDuckGo, Swoogle… etc. The methods to store information within the SW technology are able to answer complex queries given to a search engine [18][13].…”

“…It is representing the primary layer used in SW. RDF is very important to represent data which can be processed by machines [18]. The method that is used to identify and provide the relationship among the resources called graph model.…”

“…The SW technology has grown a new generation of the web by using some new methods to search about the best results related to searcher intent. There are many engines which depend on the semantic approach [18]. In the following sections, the most common SSEs are presented.…”

A Novel Approach to Cluster Web Pages Dynamically based on Domain Knowledge

“…In [10] the authors-Ranjna Jain, Neelam Duhan, A.K Sharma, have explained the importance of search engines. Also with a lot of improvements in searching technique, yet the search engine displays the result based on keywords and does not understand the meaning of the keywords.…”