Web Information Retrieval - Tyagi, Nidhi
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An efficient intelligent retrieval system for crawling relevant information lies in the identification of the domain of crawled document, identification of homonyms and synonyms from the documents, providing the quicker access to the user with an efficient search interface. Novel technique with the supporting modules such as indexing algorithm for keywords in the document, generation of the semantic net for the web documents to represent them in a meaningful manner, identifying the correlated keywords for a related context are required to make the search easier and efficient. A technique of…mehr

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Produktbeschreibung
An efficient intelligent retrieval system for crawling relevant information lies in the identification of the domain of crawled document, identification of homonyms and synonyms from the documents, providing the quicker access to the user with an efficient search interface. Novel technique with the supporting modules such as indexing algorithm for keywords in the document, generation of the semantic net for the web documents to represent them in a meaningful manner, identifying the correlated keywords for a related context are required to make the search easier and efficient. A technique of forming the ecology of ontology for the set of keywords by identifying their characteristics, synonyms, and other related information has been discussed.
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Autorenporträt
Dr. Nidhi Tyagi arbeitet als Professorin in der Abteilung für IT am MIET, Meerut. Sie verfügt über eine 19-jährige Lehrerfahrung an renommierten Instituten und Universitäten. Sie hat 40 Forschungsarbeiten in internationalen und nationalen Fachzeitschriften veröffentlicht. Ihr Interessengebiet umfasst Information Retrieval System, Big Data, Datenbanken und IOT.