Ontology Matching Techniques: A Gold Standard Model

TL;DR

This paper proposes a comprehensive gold standard model for ontology matching techniques that combines multiple abstraction level matchers to improve matching quality, supported by a review and metric analysis.

Contribution

It introduces a novel gold standard model for ontology matching that categorizes techniques and defines a new evaluation metric, enhancing the assessment of matching methods.

Findings

The model supports improved matching precision and recall.

A new metric effectively evaluates ontology matching techniques.

Review confirms the model's applicability across recent research.

Abstract

Typically an ontology matching technique is a combination of much different type of matchers operating at various abstraction levels such as structure, semantic, syntax, instance etc. An ontology matching technique which employs matchers at all possible abstraction levels is expected to give, in general, best results in terms of precision, recall and F-measure due to improvement in matching opportunities and if we discount efficiency issues which may improve with better computing resources such as parallel processing. A gold standard ontology matching model is derived from a model classification of ontology matching techniques. A suitable metric is also defined based on gold standard ontology matching model. A review of various ontology matching techniques specified in recent research papers in the area was undertaken to categorize an ontology matching technique as per newly proposed gold standard model and a metric value for the whole group was computed. The results of the above study support proposed gold standard ontology matching model.