Knowledge modeling: A survey of processes and techniques

Yun, Woo-Seop; Zhang, Xuan; Li, Zhu-dong; Liu, Hui; Han, Mengting

doi:10.1002/int.22357

Cited by 39 publications

(12 citation statements)

References 133 publications

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“…The physical factors are not considered here, such as the local climate conditions. This could be solved by coupling a knowledge model of crop growth 50 containing the environment and suitable cultivar information. Given ecological, physical, and economic information, different weights can be allocated in building the constraints 51 …”

Section: Discussionmentioning

confidence: 99%

Parallel crop planning based on price forecast

Fan

Kang

Wang

et al. 2021

Int J of Intelligent Sys

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Agrifood system actors operate within diverse sociocultural, economic, and biophysical settings. For growers, crop planning, usually a yearly business plan, is a key decision to make on when, what, and how many to plant. It is a challenging task as it deals with multiple constraints in volatile economic and/or climate environment. Most crop planning models have difficulty in adapting to changing situation. In this study, a parallel system of crop planning composed of the artificial system, computational experiment, and parallel execution is proposed. The farmers are described as agents, and the decision is made based on the heuristic searching of optimal plan; the adaption of plan is triggered autonomously given strong environment changes. Focus is given to economic environment, which is indicated as product price. In a case study, the economic environment of the artificial system is built based on the monthly and weekly price information for 13 products during 7 years. The computational experiment provides the initial cropping plan and harvest time, with social and ecological constraints. Result shows that the cropping plan can further adapt to price variation. This flexible cropping plan system can strengthen the capability of cooperatives serving small-scale farmers.

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Section: Discussionmentioning

confidence: 99%

Parallel crop planning based on price forecast

Fan

Kang

Wang

et al. 2021

Int J of Intelligent Sys

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“…Agent model. A person or software capable of executing assignments can be considered an agent; In this model, different characteristics of the agents are mentioned, such as restrictions and competencies [19].…”

Section: Methodology Stagesmentioning

confidence: 99%

“…Communications model. The information that is exchanged between the agents at the time of carrying out the tasks announced in the task model is collected in detail [19].…”

Section: Methodology Stagesmentioning

confidence: 99%

Implementation of an Intelligent System for the Diagnosis and Treatment of Venereal Diseases

Villacorta

Agüero

2022

Int. J. Onl. Eng.

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Over time, human beings are attacked by different venereal diseases, which cause serious consequences. Not all people know exactly if they suffer from a venereal disease, so they look for possible treatments based on their symptoms in different media, not all of them are reliable. The objective of the research is to implement an expert system, which through a web page, provides a correct diagnosis based on the symptoms registered by the user, as well as a possible treatment for the identified disease. This was achieved based on the knowledge tree that was developed in Python so that when a user completes the symptom record, the expert system continues with the process. All this procedure was carried out using the Common kads methodology. which is related based on knowledge topics. The result was the development of the application, which was validated by different specialists in expert systems, giving a total average of 4 as a response, which was qualified as a high-quality level, on the other hand, the system brings an improvement in the acquisition of information through the web, providing diagnoses and possible treatments, in addition, it provides a facility to people who do not wish to attend a health establishment, as well as to specialists in the health sector, which allows them to provide diagnoses and treatments.

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“…Knowledge graphs can be partially created automatically but, in order to increase and maintain their quality, they need manually curated data ( 40 ), which can also be introduced through semi-automatic curation workflows based on artificial intelligence (AI) algorithms ( 41 , 42 ). The increased use of knowledge graphs, including by companies such as Google and Meta, shows that improvements in NLP have not led to a decrease in, and one could say it has fed, the need for duly compiled, manually extracted knowledge.…”

mentioning

confidence: 99%

New reasons for biologists to write with a formal language

Rodriguez‐Esteban

2022

Database

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Current biological writing is afflicted by the use of ambiguous names, convoluted sentences, vague statements and narrative-fitted storylines. This represents a challenge for biological research in general and in particular for fields such as biological database curation and text mining, which have been tasked to cope with exponentially growing content. Improving the quality of biological writing by encouraging unambiguity and precision would foster expository discipline and machine reasoning. More specifically, the routine inclusion of formal languages in biological writing would improve our ability to describe, compile and model biology.

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Knowledge modeling: A survey of processes and techniques

Abstract: Knowledge modeling is an important step in building knowledge-based applications. Understanding the processes of knowledge modeling and the techniques involved can help developers to grasp the knowledge

Cited by 39 publications

References 133 publications

Parallel crop planning based on price forecast

Parallel crop planning based on price forecast

Implementation of an Intelligent System for the Diagnosis and Treatment of Venereal Diseases

New reasons for biologists to write with a formal language

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