Ranking methods for entity-oriented semantic web search

Entity Oriented Search

Web-Scale Semantic Ranking

Semantic ranking models go beyond keyword matching to score documents based on closeness in meaning to the query. The use of semantic ranking in Web search has been limited due to the high cost of these models. To address this issue, we have designed and implemented a new Web-scale ranking system that enables us to integrate semantic ranking techniques into a commercial search engine. We have e...

Web Search Relevance Ranking

Definition Web search engines return lists of web pages sorted by the page’s relevance to the user query. The problem with web search relevance ranking is to estimate relevance of a page to a query. Nowadays, commercial web-page search engines combine hundreds of features to estimate relevance. The specific features and their mode of combination are kept secret to fight spammers and competitors...

Semantic technologies for mobile Web and personalized ranking of mobile Web search results

The semantic Web has brought exciting new possibilities for information access. Semantic Web is already adopted in several application domains. Our main objective is to critically present solutions using semantic Web technologies to provide successful mobile Web services. Aim of this work is also to introduce a novel semantically enriched personalization technique for the accelerating market of...

A New Hybrid Method for Web Pages Ranking in Search Engines

There are many algorithms for optimizing the search engine results, ranking takes place according to one or more parameters such as; Backward Links, Forward Links, Content, click through rate and etc. The quality and performance of these algorithms depend on the listed parameters. The ranking is one of the most important components of the search engine that represents the degree of the vitality...