Feature-based ontological framework for semantic interoperability in product development

Gupta, Ravi; Gurumoorthy, B.

doi:10.1016/j.aei.2021.101260

Cited by 12 publications

(5 citation statements)

References 50 publications

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“…In recent years, ontology has been adopted for modelling knowledge related to product design to enable knowledge reuse and information sharing between different applications [16][17][18][19]. Also, TSAG is an important area of computer-aided design [12].…”

Section: Related Workmentioning

confidence: 99%

“…Ontologies, as conceptual explicit specifications, are known for their ability to explicitly represent and exchange data semantics [20,21] and play an important role in information sharing, application integration, interoperability implementation and knowledge reuse [18]. They are increasingly being used in the product development process to share data and enable interoperability between heterogeneous product design software [17].…”

Section: Application Of Ontology In the Field Of Product Design Toler...mentioning

confidence: 99%

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A Tolerance Specification Automatic Design Method for Screening Geometric Tolerance Types

Liu,

Huang,

2024

Applied Sciences

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At present, the automatic generation of tolerance types based on rule-based reasoning has an obvious characteristic: for the same assembly feature, tolerance items are recommended that satisfy all feature characteristics, with a large number of recommendations. For this reason, automatically selecting tolerance types and reducing designer autonomy remains a challenging task, especially for complex mechanical products designed using heterogeneous CAD systems. This article proposes a tolerance specification design method for the automatic selection of assembly tolerance types. Based on the construction of a hierarchical representation model of assembly tolerance information with tolerance-zone degrees of freedom (DOFs), a semantic model of geometric tolerance information with tolerance-zone DOFs and a meta-ontology model of assembly tolerance information representation are constructed. Descriptive logic is used to express the attribute relationships between different classes in the assembly tolerance information meta-ontology model, and screening inference rules are constructed based on the mechanism for selecting assembly tolerance types based on tolerance-zone DOFs. On this basis, a process for selecting assembly geometric tolerance types based on the ontology of tolerance-zone DOFs is formed. Finally, the effectiveness and feasibility of this method were verified through examples.

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Section: Related Workmentioning

confidence: 99%

Section: Application Of Ontology In the Field Of Product Design Toler...mentioning

confidence: 99%

A Tolerance Specification Automatic Design Method for Screening Geometric Tolerance Types

Liu,

Huang,

2024

Applied Sciences

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“…In this way, the model helps continuously monitor a person's emotional outbursts from a neutral to a happy state and vice versa. The semantically interoperable property makes the model more competent [23][24][25][26]. It helps to analyze the overall activity of a person in their several social channels.…”

Section: Proposed Solutionmentioning

confidence: 99%

Sentiment Analysis of Semantically Interoperable Social Media Platforms Using Computational Intelligence Techniques

et al. 2023

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Competitive intelligence in social media analytics has significantly influenced behavioral finance worldwide in recent years; it is continuously emerging with a high growth rate of unpredicted variables per week. Several surveys in this large field have proved how social media involvement has made a trackless network using machine learning techniques through web applications and Android modes using interoperability. This article proposes an improved social media sentiment analytics technique to predict the individual state of mind of social media users and the ability of users to resist profound effects. The proposed estimation function tracks the counts of the aversion and satisfaction levels of each inter- and intra-linked expression. It tracks down more than one ontologically linked activity from different social media platforms with a high average success rate of 99.71%. The accuracy of the proposed solution is 97% satisfactory, which could be effectively considered in various industrial solutions such as emo-robot building, patient analysis and activity tracking, elderly care, and so on.

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“…It enhanced the ability to perform analysis and modeling tasks and achieve matching queries of the components of the 3D model [21]. Gupta and others developed shape ontology, established the equivalence relation between the surface features such as concave, convex, and saddleshape extracted from the CAD free-form surface model and semantics, and realized the semantic interoperability of the production parts [14]. It can be seen that more advanced semantic processing is inseparable from extracting meaningful parts or significant areas of the 3D model, but it is difficult to fully automate advanced semantic annotation.…”

Section: Semantic Annotation Of a 3d Modelmentioning

confidence: 99%

“…to their domain ontology to define advanced semantic terms [12]. Gupta et al extracted concave, convex, saddle-shaped, and other surface features from CAD models and developed shape ontology to realize the equivalence relation between surfaces and semantics and to support the semantic interoperability of the production parts [13,14].The first and second knowledge extraction methods start from human natural language or are implemented by human operation, and the extracted knowledge is closer to the daily knowledge shown by the high-level attained.The third method starts from the features of the image or 3D model itself and maps them to high-level semantics, extracting knowledge that is closer to the underlying shape-space knowledge.…”

Section: Introductionmentioning

confidence: 99%

Construction of a 3D Model Knowledge Base Based on Feature Description and Common Sense Fusion

Zhou

Sheng

2023

Applied Sciences

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Three-dimensional models represent the shape and appearance of real-world objects in a virtual manner, enabling users to obtain a comprehensive and accurate understanding by observing their appearance from multiple perspectives. The semantic retrieval of 3D models is closer to human understanding, but semantic annotation for describing 3D models is difficult to automate, and it is still difficult to construct an easy-to-use 3D model knowledge base. This paper proposes a method for building a 3D model knowledge base to enhance the ability to intelligently manage and reuse 3D models. The sources of 3D model knowledge are obtained from two aspects: on the one hand, constructing mapping rules between the 3D model features and semantics, and on the other hand, extraction from a common sense database. Firstly, the viewpoint orientation is established, the semantic transformation rules of different feature values are established, and the representation degree of different features is divided to describe the degree of the contour approximating the regular shape under different perspectives through classification. An automatic output model semantic description of the contour is combined with spatial orientation. Then, a 3D model visual knowledge ontology is designed from top to bottom based on the upper ontology of the machine-readable comprehensive knowledge base and the relational structure of the ConceptNet ontology. Finally, using a weighted directed graph representation method with a sparse-matrix-integrated semantic dictionary as a carrier, an entity dictionary and a relational dictionary are established, covering attribute names and attribute value data. The sparse matrix is used to record the index information of knowledge triplets to form a three-dimensional model knowledge base. The feasibility of this method is demonstrated by semantic retrieval and reasoning on the label meshes dataset and the cultural relics dataset.

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Feature-based ontological framework for semantic interoperability in product development

Cited by 12 publications

References 50 publications

A Tolerance Specification Automatic Design Method for Screening Geometric Tolerance Types

A Tolerance Specification Automatic Design Method for Screening Geometric Tolerance Types

Sentiment Analysis of Semantically Interoperable Social Media Platforms Using Computational Intelligence Techniques

Construction of a 3D Model Knowledge Base Based on Feature Description and Common Sense Fusion

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