VP-RDF: An RDF Based Framework to Introduce the Viewpoint in the Description of Resources

Djama, Ouahiba

doi:10.2478/acss-2021-0006

Cited by 3 publications

(20 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The semantic annotation will be represented in RDF. However, the notion of the viewpoint cannot appear clearly in the RDF representation [1]. In the VP-RDF [1], the viewpoint appears clearly.…”

Section: Related Workmentioning

confidence: 99%

“…However, the notion of the viewpoint cannot appear clearly in the RDF representation [1]. In the VP-RDF [1], the viewpoint appears clearly. Therefore, in our work, we aim to propose an approach that allows converting RDF document to VP-RDF document.…”

Section: Related Workmentioning

confidence: 99%

“…Then, the obtained annotation can be represented in RDF. Djama [1] has proposed the VP-RDF as an extension of the RDF to introduce the viewpoint in the description of resources.…”

Section: Related Workmentioning

confidence: 99%

“…The context is a judgment based on rational arguments that represent a set of conditions [1] (Euclidean geometry or solid geometry). However, the viewpoint is a partial definition of an object [1]. Doan et al [24] have developed a machine learning approach to establish semantic mappings among multiple ontologies.…”

Section: Related Workmentioning

confidence: 99%

“…This step aims to exploit the VP-RDF vocabulary and syntax [1] (see subsection 2.3.) to convert the RDF statement to VP-RDF statement.…”

Section: Creation Of Vp-rdf Statementsmentioning

confidence: 99%

See 4 more Smart Citations

Introducing the Viewpoint in the Resource Description using Machine Learning

Djama¹

2021

Advances in Machine Learning, Data Mining and Computing

Self Cite

View full text Add to dashboard Cite

Search engines allow providing the user with data and information according to their interests and specialty. Thus, it is necessary to exploit descriptions of the resources, which take into consideration viewpoints. Generally, the resource descriptions are available in RDF (e.g., DBPedia of Wikipedia content). However, these descriptions do not take into consideration viewpoints. In this paper, we propose a new approach, which allows converting a classic RDF resource description to a resource description that takes into consideration viewpoints. To detect viewpoints in the document, a machine learning technique will be exploited on an instanced ontology. This latter allows representing the viewpoint in a given domain. An experimental study shows that the conversion of the classic RDF resource description to a resource description that takes into consideration viewpoints, allows giving very relevant responses to the user’s requests.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…Then, the obtained annotation can be represented in RDF. Djama [1] has proposed the VP-RDF as an extension of the RDF to introduce the viewpoint in the description of resources.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…This step aims to exploit the VP-RDF vocabulary and syntax [1] (see subsection 2.3.) to convert the RDF statement to VP-RDF statement.…”

Section: Creation Of Vp-rdf Statementsmentioning

confidence: 99%

See 3 more Smart Citations

Introducing the Viewpoint in the Resource Description using Machine Learning

Djama¹

2021

Advances in Machine Learning, Data Mining and Computing

Self Cite

View full text Add to dashboard Cite

show abstract

Large-Scale Commodity Knowledge Organization and Intelligent Query Optimization

2022

International Journal of Mobile Computing and Multimedia Communications

View full text Add to dashboard Cite

The Internet is facing the era of knowledge interconnection Web3.0, and its goal is to realize a more intelligent network that can be understood by both humans and machines. In this environment, various types of knowledge graphs have emerged. Because of the heterogeneity of knowledge, commodity knowledge makes its management more challenging. A large-scale product knowledge organization framework is designed, objective product classification knowledge is combined with subjective user perspectives in the framework, a neural network-based learning index technology is proposed to improve query efficiency. According to the properties of the knowledge structure and the characteristics of query requirements, a connection strategy is realized based on sub-variable combination.The experimental results show that, compared with the existing knowledge management system, the proposed method has a significant improvement in the retrieval efficiency of large-scale commodity knowledge.

show abstract

Advances in Machine Learning, Data Mining and Computing

2021

View full text Add to dashboard Cite

show abstract

VP-RDF: An RDF Based Framework to Introduce the Viewpoint in the Description of Resources

Cited by 3 publications

References 31 publications

Introducing the Viewpoint in the Resource Description using Machine Learning

Introducing the Viewpoint in the Resource Description using Machine Learning

Large-Scale Commodity Knowledge Organization and Intelligent Query Optimization

Advances in Machine Learning, Data Mining and Computing

Contact Info

Product

Resources

About