Title :
Focused crawler for finding professional events based on user interests
Author :
Selma Ayse Ozel;Esra Sarac
Author_Institution :
Computer Engineering Department, ?ukurova University, Faculty of Engineering and Architecture 01330 Balcali, Adana, Turkey
Abstract :
In this paper, a focused crawler is designed to gather information about conferences and meetings on a specific area. Our crawler starts visiting links from a set of related Web sites that are specified by a human expert then, it classifies pages as relevant and not relevant by using vector space model. During the crawling process, metadata information (e.g., title, date, venue, url, etc.) are extracted and stored in a relational DBMS. Through a Web-based interface, users search the database to find an event that matches their preferences.
Keywords :
"Crawlers","Relational databases","Marine animals","Design engineering","Space technology","Uniform resource locators","Data mining","Search engines","Delay","IEEE news"
Conference_Titel :
Computer and Information Sciences, 2008. ISCIS ´08. 23rd International Symposium on
Print_ISBN :
978-1-4244-2880-9
DOI :
10.1109/ISCIS.2008.4717938
