Non-Structured Materials Science Data Sharing Based on Semantic Annotation

Non-Structured Materials Science Data Sharing Based on Semantic Annotation

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The explosion of non-structured materials science data makes it urgent for materials researchers to resolve the problem of how to effectively share this information.Materials science image data is an important class of non-structured data.This paper proposes a semantic annotation method to resolve the problem of materials science image read more data sharing.

This method is implemented by a four-layer architecture, which includes ontology building, semantic annotation, reasoning service, and application.We take metallographic image data as an example and build a metallographic image OWL-ontology.Users can accomplish semantic annotation of metallographic image according to the ontology.

Reasoning service is provided in wac 4011 a data sharing application to demonstrate the effective sharing of materials science image data through adding semantic annotation.