Towards Semantic Web: Challenges and Needs
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Abstract (arXiv)
There has been recently a growth of interest in developing the current machine-readable Web towards the next generation of machine-understandable Web - Semantic Web. The development of the Web to a global business was reasonably fast, whereas Semantic Web development has taken time from a plan to be used as the mainstream Web. It is also important to note that the use of Semantic Web would only be successful in small technologies. However, the goal of Semantic Web is to be used in big technologies and to be the mainstream Web. Some challenges may impede make further progress of Semantic Web. In this review paper, an overview of the current status and future needs of Semantic Web will be presented. Specifically, the challenges and needs of Semantic Web in the hope of shedding some light on the adoption or infusion of Semantic Web in the future will be discussed. Then, a critical evaluation of these challenges and needs will be presented. Semantic Web has a clear vision. It is moving, in line with this vision, towards overcoming the challenges and usability in real world applications.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 May 2021.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 2; 2025: 1.
4 papers.
- 2024From A-to-Z Review of Clustering Validation Indicescited by 11
- 2021Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm starcited by 4
- 2024Comparative Analysis of AES, Blowfish, Twofish, Salsa20, and ChaCha20 for Image Encryptioncited by 0
- 2025Reducing Formal Context Extraction: A Newly Proposed Framework from Big Corporacited by 0
- 2025Reducing Formal Context Extraction: A Newly Proposed Framework from Big Corpora1 Apr 2025
- 2024Comparative Analysis of AES, Blowfish, Twofish, Salsa20, and ChaCha20 for Image Encryption23 Jul 2024
- 2024From A-to-Z Review of Clustering Validation Indices18 Jul 2024
- 2021Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star10 Jul 2021