Revealing information paths in web graphs through an ant colony based algorithm

Kouzas, G; Anagnostopoulos, I; Kolias, V; Kayafas, E

dc.contributor.author	Kouzas, G	en
dc.contributor.author	Anagnostopoulos, I	en
dc.contributor.author	Kolias, V	en
dc.contributor.author	Kayafas, E	en
dc.date.accessioned	2014-03-01T01:58:57Z
dc.date.available	2014-03-01T01:58:57Z
dc.date.issued	2009	en
dc.identifier.issn	1472-8915	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28793
dc.subject	Ant colony-based algorithms	en
dc.subject	web search	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	DOCUMENT SIMILARITY	en
dc.subject.other	OPTIMIZATION	en
dc.title	Revealing information paths in web graphs through an ant colony based algorithm	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	This paper introduces a new web ant-colony based search methodology, called the Ant-Seeker. As many other successfully applied biological-inspired algorithms and metaphors, Ant-Seeker is capable of tracing relevant information in web graphs, imitating the mission of real ants when they seek food far from their nests. The methodology uses swarm intelligence joined with soft computing techniques, as well as information retrieval theory in directed web crawling (web harvesting techniques). We describe the theoretical background and technologies used, as well as all the necessary amendments and considerations for applying ant colony-based algorithms to the Web. Finally, we describe an initial assessment of Ant-Seeker in selected sub-universes of the Web.	en
heal.publisher	C R L PUBLISHING LTD	en
heal.journalName	ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS	en
dc.identifier.isi	ISI:000281470100003	en
dc.identifier.volume	17	en
dc.identifier.issue	2-3	en
dc.identifier.spage	85	en
dc.identifier.epage	97	en