9786135838589 - Ontology Based Ranking in Search Engine de Bansal, Rahul (6 resultados)

Paperback. Condición: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.

Taschenbuch. Condición: Neu. Ontology Based Ranking in Search Engine | Rahul Bansal | Taschenbuch | 52 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786135838589 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Today's web is human readable where information cannot be easily processed by machines. The current existing Keyword-Based Search Engines provides an efficient way to browse the web content. But they do not consider the context of the user query or the web page and return a large result set, out of which very few are relevant to the user. Therefore, users are often confronted with the daunting task of shifting through multiple pages, to find the exact match. In addition, the Ranking factors employed by these search engines do not take into account the context or the domain of the web page. In this book, to rank a context sensitive web page, a ranking factor is developed which uses the underlying ontology of the particular domain in which it lies. The value of this factor is computed by calculating the number of data properties present in the web page. 52 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bansal RahulRahul Bansal (presently working in Tata Consultancy Services Limited, former YMCAUST, Faridabad). ?He received B-Tech Degree from MDU, Rohtak, India in 2013 (with a major in Computer science) and M-Tech from YMCAUST, Fari.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Today's web is human readable where information cannot be easily processed by machines. The current existing Keyword-Based Search Engines provides an efficient way to browse the web content. But they do not consider the context of the user query or the web page and return a large result set, out of which very few are relevant to the user. Therefore, users are often confronted with the daunting task of shifting through multiple pages, to find the exact match. In addition, the Ranking factors employed by these search engines do not take into account the context or the domain of the web page. In this book, to rank a context sensitive web page, a ranking factor is developed which uses the underlying ontology of the particular domain in which it lies. The value of this factor is computed by calculating the number of data properties present in the web page.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Today's web is human readable where information cannot be easily processed by machines. The current existing Keyword-Based Search Engines provides an efficient way to browse the web content. But they do not consider the context of the user query or the web page and return a large result set, out of which very few are relevant to the user. Therefore, users are often confronted with the daunting task of shifting through multiple pages, to find the exact match. In addition, the Ranking factors employed by these search engines do not take into account the context or the domain of the web page. In this book, to rank a context sensitive web page, a ranking factor is developed which uses the underlying ontology of the particular domain in which it lies. The value of this factor is computed by calculating the number of data properties present in the web page.