A Comparative Analysis of Keyword- and Semantic-Based Search Engines

Autor:	Suresh Kumar, Yogender Singh Negi
Rok vydání:	2014
Předmět:	Search engine Information retrieval Keyword density Computer science business.industry InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Semantic search business Semantic Web Natural language Expression (mathematics)
Zdroj:	Intelligent Computing, Networking, and Informatics ISBN: 9788132216643 ICACNI
DOI:	10.1007/978-81-322-1665-0_73
Popis:	Keyword-based Search engines are not able to provide relevant search result because they suffer from the fact that they do not know the meaning of the terms and expression used in the web pages and the relationship between them. This paper compares the semantic search performance of both keyword-based and semantic web-based search engines. Initially, two keyword-based search engines (Google and Yahoo) and three semantic search engines (Hakia, DuckDuckGo, and Bing) are selected to compare their search performance on the basis of precision ratio and how they handle natural language queries. Ten queries, from various topics was run on each search engine, the first twenty documents on each retrieval output was classified as being “relevant” or “nonrelevant”. Afterward, precision ratios were calculated for the first 20 document retrieved to evaluate performance of these search engines. Also, comparison of some popular semantic search engines is provided with their features.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9aa1fcdea56bf77d02d0882f48ba1e2a https://doi.org/10.1007/978-81-322-1665-0_73 Zobrazit plný text záznamu