Affiliation:
1. Lire Laboratory , University of Abdelhamid Mehri Constantine 2 , Ali Mendjeli, Constantine , Algeria
Abstract
Abstract
The description of resources and their relationships is an essential task on the web. Generally, the web users do not share the same interests and viewpoints. Each user wants that the web provides data and information according to their interests and specialty. The existing query languages, which allow querying data on the web, cannot take into consideration the viewpoint of the user. We propose introducing the viewpoint in the description of the resources. The Resource Description Framework (RDF) represents a common framework to share data and describe resources. In this study, we aim at introducing the notion of the viewpoint in the RDF. Therefore, we propose a View-Point Resource Description Framework (VP-RDF) as an extension of RDF by adding new elements. The existing query languages (e.g., SPARQL) can query the VP-RDF graphs and provide the user with data and information according to their interests and specialty. Therefore, VP-RDF can be useful in intelligent systems on the web.
Reference50 articles.
1. [1] D. Heckmann, Ubiquitous User Modeling. Berlin: Aka, 2005.
2. [2] O. Djama and Z. Boufaida, “Instantiation of the Multi-Viewpoints Ontology from a Resource,” International Journal of Computers and Applications, pp. 1–12, Jan. 2020. https://doi.org/10.1080/1206212X.2020.1711615
3. [3] F. Al-akashi, “SAMA: A Real-Time Web Search Architecture,” International Journal of Computers and Applications, pp. 1–8, Dec. 2020. https://doi.org/10.1080/1206212X.2020.1859245
4. [4] T. Berners-Lee, J. Hendler and O. Lassila, “The Semantic Web,” Journal of Scientific American, vol. 284, no. 5, pp. 34–43, May 2001. https://doi.org/10.1038/scientificamerican0501-34
5. [5] G. Klyne and J. Carroll. (2004, Feb.). Resource Description Framework (RDF): Concepts and Abstract Syntax [Online]. Available: http://www.w3.org/TR/2004/REC-rdf-concepts-20040210/
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Large-Scale Commodity Knowledge Organization and Intelligent Query Optimization;International Journal of Mobile Computing and Multimedia Communications;2022-04-22