Ontology Matching Techniques: A Gold Standard Model

11/26/2018
by   Alok Chauhan, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/24/2020

The Knowledge Graph Track at OAEI – Gold Standards, Baselines, and the Golden Hammer Bias

The Ontology Alignment Evaluation Initiative (OAEI) is an annual evaluat...
research
07/13/2022

O-Dang! The Ontology of Dangerous Speech Messages

Inside the NLP community there is a considerable amount of language reso...
research
04/27/2020

Visual Analysis of Ontology Matching Results with the MELT Dashboard

In this demo, we introduce MELT Dashboard, an interactive Web user inter...
research
07/12/2021

EduCOR: An Educational and Career-Oriented Recommendation Ontology

With the increased dependence on online learning platforms and education...
research
08/15/2012

Evaluating Ontology Matching Systems on Large, Multilingual and Real-world Test Cases

In the field of ontology matching, the most systematic evaluation of mat...
research
09/20/2020

Supervised Ontology and Instance Matching with MELT

In this paper, we present MELT-ML, a machine learning extension to the M...
research
06/09/2020

SANOM Results for OAEI 2019

Simulated annealing-based ontology matching (SANOM) participates for the...

Please sign up or login with your details

Forgot password? Click here to reset