Research on Intelligent Searching of Agricultural Information Based on Ontology

Liying, Duan; Li, Hongjuan; He, Dongbin; Wen, Zhe; Liu, Xuning

doi:10.1109/csss.2012.260

Cited by 4 publications

(3 citation statements)

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“…Liu Xuninget et al [15], proposed a convenient means of searching information using a searching tool that is developed using neural network technology. The extracted knowledge is classified automatically using neural network.…”

Section: Related Workmentioning

confidence: 99%

A Novel Framework for Data Extraction from Multiple Repositories and Generation of Ontologies using Inverted Indexing Technique

Govathoti¹,

Babu²

2017

IJDTA

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Section: Related Workmentioning

confidence: 99%

A Novel Framework for Data Extraction from Multiple Repositories and Generation of Ontologies using Inverted Indexing Technique

Govathoti¹,

Babu²

2017

IJDTA

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“…The basic goal (a) stating common portions and differences among experts presented models (b) identifying and solving terminology difference among the experts (c) bearing in mind that there may exist different point of view among different experts as several experts have a different area of specialty and they have their own approach to deal with the problem and thus they may have different analysis or contradictory understandings of a similar entity [9].…”

Section: Related Workmentioning

confidence: 99%

“…The whole paper describes the theoretical foundation for the proposed system but system implementation is not presented [9].…”

Section: Related Workmentioning

confidence: 99%

Knowledge modeling fore-agriculture using ontology

Ahsan

Motla²,

Asim³

2014

2014 International Conference on Open Source Systems &Amp; Technologies

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Agriculture is considered to be the backbone of the country's economy. The emergence of ICT in the last few years has opened new challenges in the field of knowledge management concerning to distribution, sharing and integration. It is true that a lot of good practices related to agriculture are transferred without being well documented so most part of these practices remain tacit rather than explicit. Therefore, it is necessary to effectively manage knowledge for future generations before it disappears as a result of technological advancement. Knowledge management is considered as a challenge. In this paper, we have presented the knowledge management approach in the domain of agriculture, its results are presented by prototype implementation and its effectiveness has been checked by evaluation. This knowledge management approach assists the stakeholders to share and understand the domain and instance level knowledge, removes ambiguities as well as integration with other sources of knowledge compared to the traditional approaches of information management.

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An Ontology-based Knowledge Mining Model for Effective Exploitation of Agro Information

Murali

Anouncia

2022

IETE Journal of Research

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Research on Intelligent Searching of Agricultural Information Based on Ontology

Cited by 4 publications

References 3 publications

A Novel Framework for Data Extraction from Multiple Repositories and Generation of Ontologies using Inverted Indexing Technique

A Novel Framework for Data Extraction from Multiple Repositories and Generation of Ontologies using Inverted Indexing Technique

Knowledge modeling fore-agriculture using ontology

An Ontology-based Knowledge Mining Model for Effective Exploitation of Agro Information

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