Matching biomedical ontologies based on formal concept analysis.

Journal: Journal of biomedical semantics
Published Date: Mar 19, 2018

Abstract

BACKGROUND: The goal of ontology matching is to identify correspondences between entities from different yet overlapping ontologies so as to facilitate semantic integration, reuse and interoperability. As a well developed mathematical model for analyzing individuals and structuring concepts, Formal Concept Analysis (FCA) has been applied to ontology matching (OM) tasks since the beginning of OM research, whereas ontological knowledge exploited in FCA-based methods is limited. This motivates the study in this paper, i.e., to empower FCA with as much as ontological knowledge as possible for identifying mappings across ontologies.

Authors

  • Mengyi Zhao
    MADIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Songmao Zhang
    MADIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People's Republic of China. smzhang@math.ac.cn.
  • Weizhuo Li
    MADIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Guowei Chen
    MADIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People's Republic of China.

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