Hetero-GCD2RDF: An Interoperable Solution for Geospatial Climatic Data by Deploying Semantic Web Technologies

Velu, Anitha; Thangavelu, Menakadevi

doi:10.1007/s11277-021-08365-8

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…To establish the uniformity of data, interoperability, and heterogeneity, data must be presented in a standard machine-understandable format like RDF. Heterogeneous geospatial files are converted to RDF, making it easier to retrieve the information through the SPARQL protocol [18]. Some research works present the transformation of meteorological data into RDF over Spain [19] and Iran [20] for weather prediction analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Ontology Based Ocean Knowledge Representation for Semantic Information Retrieval

Velu¹,

Thangavelu²

2022

Computers, Materials &Amp; Continua

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The drastic growth of coastal observation sensors results in copious data that provide weather information. The intricacies in sensor-generated big data are heterogeneity and interpretation, driving high-end Information Retrieval (IR) systems. The Semantic Web (SW) can solve this issue by integrating data into a single platform for information exchange and knowledge retrieval. This paper focuses on exploiting the SW base system to provide interoperability through ontologies by combining the data concepts with ontology classes. This paper presents a 4-phase weather data model: data processing, ontology creation, SW processing, and query engine. The developed Oceanographic Weather Ontology helps to enhance data analysis, discovery, IR, and decision making. In addition to that, it also evaluates the developed ontology with other state-of-the-art ontologies. The proposed ontology's quality has improved by 39.28% in terms of completeness, and structural complexity has decreased by 45.29%, 11% and 37.7% in Precision and Accuracy. Indian Meteorological Satellite INSAT-3D's ocean data is a typical example of testing the proposed model. The experimental result shows the effectiveness of the proposed data model and its advantages in machine understanding and IR.

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Section: Literature Reviewmentioning

confidence: 99%

Ontology Based Ocean Knowledge Representation for Semantic Information Retrieval

Velu¹,

Thangavelu²

2022

Computers, Materials &Amp; Continua

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“…An RDF data distribution method is presented (Schroeder, R., et al 2021), which overcomes the shortcomings of the current approaches in order to scale RDF storage both on the volume of data and query processing. A Hetero-GCD2RDF data retrieval approach is proposed (Velu, A., & Thangavelu, M. 2021), it focuses on two aspects (1) Extraction of records from satellite data and represent it as linked data namely Resource Description Framework (RDF) and (2) Implementation of SPARQL query engine to the resultant RDF for data retrieval.…”

Section: Related Workmentioning

confidence: 99%

Large-Scale Commodity Knowledge Organization and Intelligent Query Optimization

2022

International Journal of Mobile Computing and Multimedia Communications

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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.

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IoT Enabled Smart Farming: A Controlled Environment Agriculture Application

Velu,

Ramamoorthy,

et al. 2023

2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)

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Hetero-GCD2RDF: An Interoperable Solution for Geospatial Climatic Data by Deploying Semantic Web Technologies

Cited by 4 publications

References 14 publications

Ontology Based Ocean Knowledge Representation for Semantic Information Retrieval

Ontology Based Ocean Knowledge Representation for Semantic Information Retrieval

Large-Scale Commodity Knowledge Organization and Intelligent Query Optimization

IoT Enabled Smart Farming: A Controlled Environment Agriculture Application

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