A Semantic Web Technology Index
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Abstract (arXiv)
Semantic Web (SW) technology has been widely applied to many domains such as medicine, health care, finance, geology. At present, researchers mainly rely on their experience and preferences to develop and evaluate the work of SW technology. Although the general architecture (e.g., Tim Berners-Lee's Semantic Web Layer Cake) of SW technology was proposed many years ago and has been well-known, it still lacks a concrete guideline for standardizing the development of SW technology. In this paper, we propose an SW technology index to standardize the development for ensuring that the work of SW technology is designed well and to quantitatively evaluate the quality of the work in SW technology. This index consists of 10 criteria that quantify the quality as a score of 0 ~ 10. We address each criterion in detail for a clear explanation from three aspects: 1) what is the criterion? 2) why do we consider this criterion and 3) how do the current studies meet this criterion? Finally, we present the validation of this index by providing some examples of how to apply the index to the validation cases. We conclude that the index is a useful standard to guide and evaluate the work in SW technology.
Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). Builds on 8 of its 64 references that are in the map. First posted on arXiv 14 Jan 2022.
Builds on
8 of 64 references.
References · 8
- 2017DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoningcited by 266
- 2020Building a PubMed knowledge graphcited by 38
- 2018Improving Knowledge Graph Embedding Using Simple Constraintscited by 36
- 2020An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practicecited by 13
- 2019Efficient Knowledge Graph Accuracy Evaluationcited by 12
- 2019Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graphcited by 12
- 2016FOCA: A Methodology for Ontology Evaluationcited by 2
- 2020An Ontology-based Context Model in Intelligent Environmentscited by 2
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Citing papers per year: 2022: 2; 2023: 6; 2024: 7; 2025: 1.
16 papers.
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- 2022Intelligent Perception System for Vehicle-Road Cooperationcited by 2
- 2023Exploration of the Assessment for AVP Algorithm Training in Underground Parking Garages Simulation Scenariocited by 2
- 2023Active Data Acquisition in Autonomous Driving Simulationcited by 1
- 2023Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Surveycited by 1
- 2024Automatic parking planning control method based on improved A* algorithmcited by 1
- 2022Vehicle-road Cooperative Simulation and 3D Visualization Systemcited by 0
- 2023Development of Real-time Rendering Technology for High-Precision Models in Autonomous Drivingcited by 0
- 2023PCG-based Static Underground Garage Scenario Generationcited by 0
- 2023Real-time pedestrian recognition on low computational resourcescited by 0
- 2024Standardizing Knowledge Engineering Practices with a Reference Architecturecited by 0
- 2024Automated Parking Planning with Vision-Based BEV Approachcited by 0
- 2024Acceleration method for generating perception failure scenarios based on editing Markov processcited by 0
4 more
- 2024Deep Reinforcement Learning for Adverse Garage Scenario Generationcited by 0
- 2024Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lotscited by 0
- 2024Development of Occupancy Prediction Algorithm for Underground Parking Lotscited by 0
- 2025Manboformer: Learning Gaussian Representations via Spatial-temporal Attention Mechanismcited by 0
- 2025Manboformer: Learning Gaussian Representations via Spatial-temporal Attention Mechanism6 Mar 2025
- 2024Development of Occupancy Prediction Algorithm for Underground Parking Lots2 Sep 2024
- 2024Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lots2 Jul 2024
- 2024Deep Reinforcement Learning for Adverse Garage Scenario Generation1 Jul 2024
- 2024Acceleration method for generating perception failure scenarios based on editing Markov process1 Jul 2024
- 2024Automated Parking Planning with Vision-Based BEV Approach24 May 2024
- 2024Automatic parking planning control method based on improved A* algorithm24 May 2024
- 2024Standardizing Knowledge Engineering Practices with a Reference Architecture4 Apr 2024
- 2023Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey10 Nov 2023
- 2023Exploration of the Assessment for AVP Algorithm Training in Underground Parking Garages Simulation Scenario17 Oct 2023
- 2023Real-time pedestrian recognition on low computational resources4 Sep 2023
- 2023PCG-based Static Underground Garage Scenario Generation8 Jul 2023
4 more
- 2023Active Data Acquisition in Autonomous Driving Simulation24 Jun 2023
- 2023Development of Real-time Rendering Technology for High-Precision Models in Autonomous Driving1 Feb 2023
- 2022Intelligent Perception System for Vehicle-Road Cooperation30 Aug 2022
- 2022Vehicle-road Cooperative Simulation and 3D Visualization System14 Jul 2022
- 2022Intelligent Perception System for Vehicle-Road Cooperationcited by 2
- 2023Exploration of the Assessment for AVP Algorithm Training in Underground Parking Garages Simulation Scenariocited by 2
- 2023Active Data Acquisition in Autonomous Driving Simulationcited by 1
- 2023Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Surveycited by 1
- 2024Automatic parking planning control method based on improved A* algorithmcited by 1
- 2022Vehicle-road Cooperative Simulation and 3D Visualization Systemcited by 0
- 2023Development of Real-time Rendering Technology for High-Precision Models in Autonomous Drivingcited by 0
- 2023PCG-based Static Underground Garage Scenario Generationcited by 0
- 2023Real-time pedestrian recognition on low computational resourcescited by 0
- 2024Standardizing Knowledge Engineering Practices with a Reference Architecturecited by 0
- 2024Automated Parking Planning with Vision-Based BEV Approachcited by 0
- 2024Acceleration method for generating perception failure scenarios based on editing Markov processcited by 0
12 most cited of 15 All 15 (JSON)
- 2025Manboformer: Learning Gaussian Representations via Spatial-temporal Attention Mechanism6 Mar 2025
- 2024Development of Occupancy Prediction Algorithm for Underground Parking Lots2 Sep 2024
- 2024Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lots2 Jul 2024
- 2024Acceleration method for generating perception failure scenarios based on editing Markov process1 Jul 2024
- 2024Automated Parking Planning with Vision-Based BEV Approach24 May 2024
- 2024Automatic parking planning control method based on improved A* algorithm24 May 2024
- 2024Standardizing Knowledge Engineering Practices with a Reference Architecture4 Apr 2024
- 2023Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey10 Nov 2023
- 2023Exploration of the Assessment for AVP Algorithm Training in Underground Parking Garages Simulation Scenario17 Oct 2023
- 2023Real-time pedestrian recognition on low computational resources4 Sep 2023
- 2023PCG-based Static Underground Garage Scenario Generation8 Jul 2023
- 2023Active Data Acquisition in Autonomous Driving Simulation24 Jun 2023
12 newest of 15 All 15 (JSON)