An Overview of Semantic Search Engines

International Journal of Research & Review (IJRR)

2019, https://www.ijrrjournal.com/IJRR_Vol.6_Issue.10_Oct2019/Abstract_IJRR0012.html

https://doi.org/10.4444/ijrr.1002/1407

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Abstract

Semantic Search is a search technique that improves searching precision by understanding the purpose of the search and the contextual significance of words as they appear in the searchable data space, whether on the web to generate more relevant result. We highlight here about Semantic Search, Semantic Web and discuss about different type of Semantic search engine and differences between keyword base search and Semantic Search and the advantage of Semantic Search. We also give a brief overview of the history of semantic search and its feature scope in the world.

Figures (13)

Figure 1: Sematic Search Process The searching process of Semantic Search is divided into five processes as shown in Figure 1. In the first step the user entered the searching element in the searc bar. In the next step the search engine analyzed the search items. In the third ste the analyzed data is matched with thesaurus. Then semantic search accesse the matched data and then semantic searc engine returns the relevant content. a D a S a

Kngine: Kngine is a smart engine that answers de facto questions commonly posed and carries out actions. Kngine recognizes what users are truly looking for and delivers significant outcomes to them. You can speak or type your question for Kngine. It extracts the factual data from each phrase to build / update our knowledge graph. Kngine results are based either on web results or on image result. In order to achieve state-of - the-art accuracy, Kngine also uses the power of deep learning, big data and unsupervised learning. It learns and improves all the time. Currently, it includes over eight million Concepts where the power of the site resides. """! reliable sites in less time compare to Keyword Search Engine. Pl

Kosmix: Kosmix is acts as guide to Web. It allows users to browse the Web topic wise and to present a dashboard of appropriate Videos, Images, News, Opinions, Blogs, Forums, Twitter, Amazon, Facebook and references to related topics. The categorization engine of Kosmix arranges the Internet into pages of magazine-style based on the topic. It also uses Deep Web. [12,13]

DuckDuckGo: If you use Google, forget it, because unlike Google, DuckDuckGo is a feature- rich Semantic Search Engine. If you search for a term that has more than one meaning, with its disambiguation results, you will be able to select what you originally searching for. For example, if you browse for the term Orange, it will give list of possible meanings including fruit, online reservation system, corporate site, business service, etc. fa

Powerset: In Sep 2005, the firm introduced with the aim of making search easier and more intuitive. Later, Microsoft acquired it on July 1, 2008. It concentrates on doing just a single thing and doing it really well by using natural language processing to understand the nature of the question and return pages containing the answer. It comprises all the search results from Wikipedia, using semantics Search terms can be articulated as questions, which will be answered, or as simple terms, and results will be accumulated from all the significant pages on Wikipedia from different resources. "*"*!

Sensebot: Sensebot utilizes text mining to analyze web pages and recognize important semantic ideas. It then conducts a multi-document overview of content to generate a consistent overview which, depending on the query provided, gives a summarized precise search outcome. The synopsis gives A nice concept of the subject of the query. "*! The overview can be read and is consistent. It saves time. To get the outcomes, the user does not need to go through many web pages. The search engine itself attempts to comprehend the query idea, in fact what it includes and provides a suitable outcome. ie)

Cognition: Cognition finds meaning formula in the quest. It provides Link results. It is a search engine that provides the ability to learn about various elements of distinct languages and promotes Ontology, Morphology, and Synonyms. The use of this technology could vary from better enterprise-wide search to more appropriate advertising. It offers access to this technology with APIs. wl

Swoogle: A crawler-based indexing and retrieval Semantic Web. It analyzes the documents it has found in order to calculate beneficial metadata characteristics and their relationships. rl Identified documents are likewise recorded by a data recovery framework which can utilize either character N-Gram or URIrefs as keywords to search specific documents and to figure out similarities among number of documents. os By using text-mining and multi-records summarization, it extracts meaning from web pages. It finds the semantic web's suitable ontology and instance data structure. ee

Factbites: Kactbites searches tor material that is tactual and accurate. ‘lo abstract meaning from web pages, it utilizes text mining and multi-record summarization. 2" The outcome provides us a feeling of carefully and precisely understanding stuff. It is best to filter out those non-relevant sites. 77!

The following Table 3 shows the comparison of different Semantic Search Engine.

Figure 5: no of related document searched for 10 topics Figure 4: mean precision ratio of search engine

Table 2: No of related document searched