Show simple item record

Hierarchical taxonomy extraction by mining topical query sessions

dc.contributor.authorFernández Fernández, Miguelspa
dc.contributor.authorGayo Avello, Daniel spa
dc.descriptionKDIR 2009-International Conference On Knowledge Discovery And Information Retrieval, 2009, Funchal, Portugalen
dc.description.abstractSearch engine logs store detailed information on Web users interactions. Thus, as more and more people use search engines on a daily basis, important trails of users common knowledge are being recorded in those files. Previous research has shown that it is possible to extract concept taxonomies from full text documents, while other scholars have proposed methods to obtain similar queries from query logs. We propose a mixture of both lines of research, that is, mining query logs not to find related queries nor query hierarchies but actual term taxonomies. In this first approach we have researched the feasibility of finding hyponymy relations between terms or noun-phrases by exploiting specialization search patterns in topical sessions, obtaining encouraging preliminary
dc.format.extentp. 229-235spa
dc.relation.ispartofProceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal - Madeira, Portugal, October 6-8, 2009
dc.rightsCC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
dc.subjectWeb searchen
dc.subjectQuery logen
dc.subjectHyponymy relationsen
dc.subjectQuery reformulationen
dc.subjectAutomatic taxonomy extractionen
dc.titleHierarchical taxonomy extraction by mining topical query sessionseng

Files in this item


This item appears in the following Collection(s)

Show simple item record

CC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
This item is protected with a Creative Commons License