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A Comparative Study of Semantic Search Systems

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dc.contributor.author Gavankar, Chetana
dc.date.accessioned 2024-10-19T07:23:49Z
dc.date.available 2024-10-19T07:23:49Z
dc.date.issued 2020
dc.identifier.uri https://ieeexplore.ieee.org/abstract/document/9104081
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16143
dc.description.abstract Today’s internet consists of mostly unstructured data, most of it being unusable for average users. With increase in the number of smart devices that are getting access to the web, we have a large set of unlinked data that is not able to communicate. Indirectly, it can be said that the Web is broken. Semantic Web focuses on making the meaning explicit instead of fetching results with the help of word matching. Semantic Web is an extension to the current Web that provides an easier way to find, share, reuse and combine information. In this paper, we are presenting an analysis of the different approaches taken by various semantic web search engines and the comparison between them, thus identifying the advantages and limitation of each search engine. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Computer Science en_US
dc.subject Semantic Search en_US
dc.subject Large Datasets en_US
dc.subject Dot-com Bubble en_US
dc.subject Ontology Language en_US
dc.title A Comparative Study of Semantic Search Systems en_US
dc.type Article en_US


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