Ant seeker: An algorithm for enhanced web search

Kouzas, G; Kayafas, E; Loumos, V

dc.contributor.author	Kouzas, G	en
dc.contributor.author	Kayafas, E	en
dc.contributor.author	Loumos, V	en
dc.date.accessioned	2014-03-01T01:23:37Z
dc.date.available	2014-03-01T01:23:37Z
dc.date.issued	2006	en
dc.identifier.issn	15715736	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17050
dc.subject	Ant Colony	en
dc.subject	Document Similarity	en
dc.subject	Information Retrieval	en
dc.subject	Web Search	en
dc.subject	Ant Colony Optimization Algorithm	en
dc.title	Ant seeker: An algorithm for enhanced web search	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/0-387-34224-9_76	en
heal.identifier.secondary	http://dx.doi.org/10.1007/0-387-34224-9_76	en
heal.publicationDate	2006	en
heal.abstract	This paper proposes a web search algorithm, which aims to distinguish irrelevant information and to enhance the amount of the relevant information in respect to a user's query. The proposed algorithm is based on the Ant Colony Optimization algorithm (ACO), employing in parallel document similarity issues from the field of information retrieval. Ant Colony Optimization algorithms were inspired through the observation of ant colonies. In our approach, ants are used as agents through Internet, which are capable of collecting information, calculating the content similarity in each visited node and generating routing paths through the web. © 2006 International Federation for Information Processing.	en
heal.journalName	IFIP International Federation for Information Processing	en
dc.identifier.doi	10.1007/0-387-34224-9_76	en
dc.identifier.volume	204	en
dc.identifier.spage	649	en
dc.identifier.epage	656	en