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A Measurement and Sorting Method of Ontology Debugging Information

A technology for debugging information and sorting methods, applied in instrumentation, computing, semantic analysis, etc., to enhance user experience

Inactive Publication Date: 2022-01-11
NORTHEASTERN UNIV LIAONING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Although experimental results show that the accuracy of the model is as high as 94%, the accuracy is limited to two-step inference

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  • A Measurement and Sorting Method of Ontology Debugging Information
  • A Measurement and Sorting Method of Ontology Debugging Information
  • A Measurement and Sorting Method of Ontology Debugging Information

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Embodiment Construction

[0035] The present invention will be described in detail below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0036] Such as figure 1As shown, the present invention provides a method for measuring and sorting ontology debugging information, including:

[0037] 1), according to the cognition of the user, extract the metric standard of justification, and the metric standard includes complexity, relevance and novelty;

[0038] The complexity in the step 1) includes syntax complexity and semantic complexity;

[0039] Syntactic complexity:

[0040] The grammatical complexity includes a 9-component justification metric model based on cognitive complexity and 3 supplementar...

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Abstract

The invention discloses a method for measuring and sorting ontology debugging information, which includes extracting the metric standard of the justification according to the user's cognition of the justification, and the metric standard includes three aspects: complexity, relevance and novelty; and uses ListNet sorting learning The method constructs the top k sorting model, sorts the characterized justifications according to the ranking model, and obtains the top k easy-to-understand justifications. From the perspective of user cognition, a set of standards for measuring OWL justification is proposed. This set of standards comprehensively considers the three aspects of complexity, relevance, and novelty. Based on this set of standards, a top k ranking model is constructed to obtain easy-to-understand top k A justification, to help users better explain inconsistent ontology, thereby enhancing user experience.

Description

technical field [0001] The invention relates to the technical field of ontology debugging, in particular to an optimization and measurement sorting method for ontology debugging. Background technique [0002] With the increasing amount of Web information, it becomes an inevitable trend to use computers to process this information. The Semantic Web emerged as the times require, and has become a research hotspot at present. The goal of the Semantic Web is to extend the current World Wide Web, provide machines with readable and identifiable Web information, and provide a mechanism for automatic reasoning based on Web information. In order to facilitate computer processing and interaction, information in the Semantic Web is described by a shared vocabulary and given strict semantics. This shared vocabulary is an ontology. An ontology is defined as an explicit specification of a conceptualization that provides a shared vocabulary for use by different domains in the Semantic Web...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/30G06F40/253G06K9/62
CPCG06F40/253G06F40/30G06F18/2415
Inventor 吴刚邱煜晶乔百友王波涛韩东红刘辉林王国仁
Owner NORTHEASTERN UNIV LIAONING