Automatic Alignment of Ontology Eliminating the Probable Misalignments

Autor:	Yohei Seki, Masaki Aono, Seddiqui Md. Hanif
Rok vydání:	2006
Předmět:	Process of elimination Information retrieval Computer science ComputerApplications_COMPUTERSINOTHERSYSTEMS Semantic integration Data mining Ontology (information science) Precision and recall computer.software_genre Semantic Web computer Ontology alignment
Zdroj:	The Semantic Web – ASWC 2006 ISBN: 9783540383291 ASWC
DOI:	10.1007/11836025_22
Popis:	This paper describes a novel approach of detecting misalignment at the time of aligning two different ontologies, and of eliminating the misalignments Our objective is to reduce limitation of a specific technique of ontology alignment Two aligned sets extracted by different alignment techniques from the same pair of ontology, are fed to the misalignment detection and elimination process to produce better alignments Our experiments demonstrate that our method, taking advantage of misalignment detection and elimination, shows a good recall and precision.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5b2b5ee18b1538299db3d9a11427b9ec https://doi.org/10.1007/11836025_22 Zobrazit plný text záznamu