World-Wide Semantic Web of Agriculture Knowledge

Lukose, Dickson

doi:10.1016/s2095-3119(12)60066-5

Cited by 15 publications

(7 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A survey of the current status of agricultural linked open data can be found in [12]. Moreover, [13] introduces Agricultural Ontology Services (AOS) as well as ontology engineering techniques for the agriculture domain.…”

Section: Related Workmentioning

confidence: 99%

Ontology Based Data Access and Integration for Improving the Effectiveness of Farming in Nepal

Pokharel¹,

Sherif²,

Lehmann³

2014

2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

View full text Add to dashboard Cite

Abstract-It is widely accepted that food supply and quality are major problems in the 21st century. Due to the growth of the world's population, there is a pressing need to improve the productivity of agricultural crops, which hinges on different factors such as geographical location, soil type, weather condition and particular attributes of the crops to plant. In many regions of the world, information about those factors is not readily accessible and dispersed across a multitude of different sources. One of those regions is Nepal, in which the lack of access to this knowledge poses a significant burden for agricultural planning and decision making. Making such knowledge more accessible can boot up a farmer's living standard and increase their competitiveness on national and global markets. In this article, we show how we converted several available, although not easily accessible, datasets to RDF, thereby lowering the barrier for data re-usage and integration. We describe the conversion, linking, and publication process as well as use cases, which can be implemented using the farming datasets in Nepal.

show abstract

Section: Related Workmentioning

confidence: 99%

Ontology Based Data Access and Integration for Improving the Effectiveness of Farming in Nepal

Pokharel¹,

Sherif²,

Lehmann³

2014

2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

View full text Add to dashboard Cite

show abstract

“…Corporative privacy may be some data whereby to identify an individual corporation or an aggregate corporation itself such as phone number, corporation address, credit card number. In addition,some sensitive information and some expensive digital information asset of Agriculture Intelligent System and of the like system all belongs to the focus of security concern [2], [3]. For examples, the individual health reports from Diagnosing System, the Knowledge Rules of Agriculture Expert System [4], [5] and financial records from Stock System and so on.…”

Section: A Status Of Corporate and Individual Cloud Securitymentioning

confidence: 99%

An Innovative Encryption Method for Agriculture Intelligent Information System based on Cloud Computing Platform

Tan

Zhao

Wang

et al. 2014

JSW

View full text Add to dashboard Cite

Along with a rapid growth of cloud computing technology and its deep application in Agriculture Intelligent Information System, Agriculture Industry information security and privacy has become a highlight of the issue about Agriculture Cloud Information System. Encrypting is a conventional information security means, however, hitherto almost all encryption scheme cannot support the operation based on cipher-text. As a result, it is a difficult to build up the corporate and individual information security and privacy-securing in the information system based on cloud computing platform. In order to construct the information security and privacy of cloud computing infrastructure, down to the practicality of Agriculture Information System the project crew brings forward An Innovative Encryption Method for Agriculture Intelligent Information System based on Cloud Computing Platform, OCEVMO for short, which takes root in the theory of matrix, and supports a series of cipher-text-operation essential to build a secure communication protocol between user, owner and cloud server. Beside the conventional encryption-decryption operation, OCEVMO implements 4 operations of cipher-textnumerical-value data such as adding, subtracting, multiplying and dividing. Theoretical analysis and experimental performance estimation demonstrates that OCEVMO is of IND-CCA security, capable of performing crypo-function with a moderate speed. Its favorable versatile performance gives promise of the interactive operation Securing corporateindividual privacy in the area of Agriculture Intelligent Information System.

show abstract

“…The first being a generic crop ontology, followed by ontology each for tomato, corn and chili. Dickson Lukose briefly described the evolution of the LOD, the emerging world-wide semantic web (WWSW), and explore the scalability and performance features of the service oriented architecture that forms the foundation of the semantic technology platform developed at MIMOS Bhd., for addressing the challenges posed by the intelligent future internet [51].…”

Section: Agricultural Intelligent Decision Technologymentioning

confidence: 99%

Studies on Domestic and Overseas in Research Progress of Agricultural Information Technologies

Shi

et al. 2014

Computer and Computing Technologies in Agriculture VII

View full text Add to dashboard Cite

Abstract. This paper is a comparative study of domestic and overseas in the aspect of agricultural information technologies research progress. In domestic, it is short of independent development of core technology in precision operation integrated system. The key problem that needs to be resolved in agricultural information acquisition and analysis technology is how to improve the accuracy, the agricultural products information collection technology is still a blank. Lacking of shared and integrated simulation platform in agricultural digital model and virtual technology, and agricultural productivity prediction and early warning technology still needs to be improved. In the technology of agricultural intelligent decision, China is blank in the field of knowledge grid, knowledge sharing cannot be achieved. The high technical cost and the low operation reliability are the main problems in agricultural intelligent equipment. In modern agricultural mechanical equipment technology, China is lack of uniformed standards and regulations. There is a big gap between domestic and overseas in rapid detection technology and bio-mechanical composite technology.

show abstract

World-Wide Semantic Web of Agriculture Knowledge

Cited by 15 publications

References 4 publications

Ontology Based Data Access and Integration for Improving the Effectiveness of Farming in Nepal

Ontology Based Data Access and Integration for Improving the Effectiveness of Farming in Nepal

An Innovative Encryption Method for Agriculture Intelligent Information System based on Cloud Computing Platform

Studies on Domestic and Overseas in Research Progress of Agricultural Information Technologies

Contact Info

Product

Resources

About