Bridging the syntactic and the semantic web search

Kouzas, G; Anagnostopoulos, I; Maglogiannis, I; Anagnostopoulos, C

dc.contributor.author	Kouzas, G	en
dc.contributor.author	Anagnostopoulos, I	en
dc.contributor.author	Maglogiannis, I	en
dc.contributor.author	Anagnostopoulos, C	en
dc.date.accessioned	2014-03-01T02:43:58Z
dc.date.available	2014-03-01T02:43:58Z
dc.date.issued	2006	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31579
dc.subject	Ant Colony Algorithm	en
dc.subject	Information Need	en
dc.subject	Information System	en
dc.subject	Machine Learning	en
dc.subject	Semantic Gap	en
dc.subject	Semantic Relations	en
dc.subject	Semantic Web	en
dc.subject	Swarm Intelligence	en
dc.subject	Web Agent	en
dc.subject	Web Search	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Ant Colony algorithm	en
dc.subject.other	Web search	en
dc.subject.other	Algorithms	en
dc.subject.other	Information management	en
dc.subject.other	Learning systems	en
dc.subject.other	Query languages	en
dc.subject.other	Semantics	en
dc.subject.other	Syntactics	en
dc.subject.other	World Wide Web	en
dc.title	Bridging the syntactic and the semantic web search	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11840930_11	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11840930_11	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	This paper proposes an information system, which aims to bridge the semantic gap in web search. The system uses multiple domain ontological structures expanding the user's query with semantically related concepts, enhancing in parallel the quality of retrieval to a large extend. Query analyzers broaden the user's information needs from classical term-based to conceptually representations, using knowledge from relevant ontologies and theirs' properties. Besides the use of semantics, the system employs machine learning techniques from the field of swarm intelligence through the Ant Colony algorithm, where ants are considered as web agents capable of collecting and processing relevant information. Furthermore, the effectiveness of the approach is verified experimentally, by observing that the retrieval precision for the enhanced queries is in higher levels, in comparison with the results derived from the classical term-based retrieval procedure. © Springer-Verlag Berlin Heidelberg 2006.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11840930_11	en
dc.identifier.isi	ISI:000241475200011	en
dc.identifier.volume	4132 LNCS - II	en
dc.identifier.spage	104	en
dc.identifier.epage	112	en