RiMOM: A dynamic multistrategy ontology alignment framework

  • Li J
  • Tang J
  • Li Y
 et al. 
  • 119

    Readers

    Mendeley users who have this article in their library.
  • 254

    Citations

    Citations of this article.

Abstract

Ontology alignment identifies semantically matching entities in different ontologies. Various ontology alignment strategies have been proposed; however, few systems have explored how to automatically combine multiple strategies to improve the matching effectiveness. This paper presents a dynamic multistrategy ontology alignment framework, named RiMOM. The key insight in this framework is that similarity characteristics between ontologies may vary widely. We propose a systematic approach to quantitatively estimate the similarity characteristics for each alignment task and propose a strategy selection method to automatically combine the matching strategies based on two estimated factors. In the approach, we consider both textual and structural characteristics of ontologies. With RiMOM, we participated in the 2006 and 2007 campaigns of the Ontology Alignment Evaluation Initiative (OAEI). Our system is among the top three performers in benchmark data sets.

Author-supplied keywords

  • Heterogeneous databases
  • Knowledge and data engineering tools and techniques
  • Ontology languages

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Juanzi Li

  • Jie Tang

  • Yi Li

  • Qiong Luo

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free