How does the complexity of ontology impact the performance of ontology-based systems?
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The complexity of ontology can significantly impact the performance of ontology-based systems. The adoption of rich data models and complex relationships among concepts in ontologies can lead to variations in computational performance . The evaluation of performance should consider critical factors such as representational requirements versus reasoning performance . Traditional evaluation metrics may not accurately assess the performance of systems that deal with complex correspondences . Finding complex correspondences in ontologies is a challenge due to the lack of widely accepted benchmarks and the increased computational complexity . However, advancements have been made in developing potential complex alignment benchmarks and utilizing automated alignment systems to suggest complex correspondences . The performance of ontology matching systems in real-life applications has shown promise, and the hierarchical analysis of mappings can improve precision .
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Open access 01 Jan 2018 | The paper does not directly address the impact of ontology complexity on the performance of ontology-based systems. |
8 Citations | The provided paper does not directly address the impact of ontology complexity on the performance of ontology-based systems. |
| The paper does not directly address the impact of ontology complexity on the performance of ontology-based systems. | |
12 Jun 2019 1 Citations | The paper discusses that the computational performance of ontology-based systems can significantly vary based on the adoption of rich data models and the complexity of the ontology. |
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