Method of constructing REST (representational state transfer) styled ontology annotation visualization system

Abstract

The invention relates to a method of constructing a REST (representational state transfer) styled ontology annotation visualization system. The method includes: S100, using an ontology as a basic object for system processing to allow a machine to understand intrinsic logic meaning of data; S200, using a relational database to endure ontological data stored and analyzed, so as to conveniently and quickly visit and operate the ontological data; S300, using the ontological data to perform automatic semantic annotation of an REST styled service to information acquired, thereby extending the REST styled service to extract the ontological data; S400, visualizing the ontology and providing different strategies for ordinary users and expert users; S500, establishing a web work heterogeneously supportive and across browser platforms through the REST architecture style, thereby allowing users to conveniently gain access and a server to more efficiently run. Visualization and web services are implemented to web works based on the REST architecture style, the visualization technology is built in, and checking is facilitated.

Description

technical field [0001] The invention relates to an ontology annotation visualization system, in particular to a method for constructing a REST-style ontology annotation visualization system. Background technique [0002] In 1993, Gruber of Stanford University in the United States defined ontology, that is, "the explicit normative theory of conceptual models". In the field of information science, this definition has been widely adopted and recognized. Briefly, ontology is to generalize specific domain knowledge into a conceptual model to describe the differences, relationships and constraints between concepts. [0003] However, the existing technology has the following problems when constructing an ontology annotation visualization system: at the level of ontology data, some ontology data is fixed and cannot be changed dynamically; at the level of ontology verification: most of the ontologies have not been verified and cannot prove Integrity and rationality; at the level of...

AI Technical Summary

Problems solved by technology

[0003] However, the existing technology has the following problems when constructing an ontology annotation visualization system: at the level of ontology data, some ontology data is fixed and cannot be changed dynamically; at the level of ontology verification: most of the ontologies have not been verified and cannot Integrity and rationality; at the level of ontology visualization, generally only one display based on Prefuse user information is provided, which cannot meet the operational needs of professionals

[0005] (1) Most of the annotation tools need to be realized by manual operation, and a small part supports semi-automatic annotation, and the automation accuracy is not high;

[0006] (2) Most of them support DAML, RDFS, OIL, and there are relatively few annotation tools that support OWL language;

However, plug-in-based visualization tools have some defects and deficiencies in the visualization process, such as: OWLViz stacks graphics in the upper left corner of the interface, the layout effect of Chinese ontology diagrams is not obvious, and the effect of OntoViz generating Chinese ontology diagrams is poor, etc.

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