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performance. Apart from estimating the best path to follow, our system also expands its initial keywords by using genetic algorithm during the crawling process. To crawl Vietnamese web pages, we apply a hybrid word segmentation approach which consists of combining automata and part of speech tagging techniques for the Vietnamese
Due to the rapid growth of Web pages available on the Internet recently, searching a relevant and up-to-date information has become a crucial issue. Conventional search engines use heuristics to determine which Web pages are the best match for a given keyword. Results are obtained from a database that is located at
This paper proposes genetic-based algorithm that uses inverted index model as a preprocessing step called GAWS. It is used as a method for finding best set of documents related to the entered user keywords. These keywords are divided into three types: main keywords, should exist keywords and should not exist keywords
The Fuzzy-Go search engine develops a fuzzy ontology to capture the similarities of terms in the ontology for accomplishing the semantic search of keywords, a web crawler to gather and classify web pages, and a fuzzy search mechanism to aggregate all fuzzy factors based on their degrees of importance and degrees of
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.