mlsanityData to 14 Oct 2026

A Semantic Web Technology Index

arXiv 2201.07034 ↗First posted 14 Jan 2022cs.SE cs.AIcited by 16

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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

  1. 2017DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoningcited by 266
  2. 2020Building a PubMed knowledge graphcited by 38
  3. 2018Improving Knowledge Graph Embedding Using Simple Constraintscited by 36
  4. 2020An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practicecited by 13
  5. 2019Efficient Knowledge Graph Accuracy Evaluationcited by 12
  6. 2019Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graphcited by 12
  7. 2016FOCA: A Methodology for Ontology Evaluationcited by 2
  8. 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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