Ontological Analysis of Outcomes of Non-formal and Informal Learning for Agro-Advisory System AdvisOnt

Pryima, Serhii; Strokan, Oksana; Rogushina, J.V.; Gladun, Anatoly; Lubko, Dmytro; Malkina, Vira

doi:10.1007/978-3-030-62015-8_1

Cited by 6 publications

(2 citation statements)

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“…Існує велика кількість ІПС, що спеціалізуються на пошуку певних типів ІР зі специфічними метаописами (відео, музика, мапи, книги тощо) або на пошуку у певних ПрО (наприклад, товари в електронних магазинах). Крім того, у багатьох інформаційно-аналітичних системах використовуються спеціалізовані сервіси, що підтримують пошук різноманітних складних інформаційних об'єктів -подорожей, навчальних курсів [61].…”

Section: інформаційні ресурси серед яких здійснюється пошукunclassified

A three-dimensional model of semantic search: queries, resources, and results

Rogushina

2023

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We propose three-dimensional model of semantic search that analyzes search requests, information resources (IRs) and search results. This model is proposed as an additional tool for describing and comparing information retrieval systems (IRSs) that use various elements of artificial intelligence and knowledge management for more effective and relevant satisfaction of user information needs. In this work we analyze existing approaches to the semanticization of search queries and the use of external knowledge sources for retrieval process. The values of parameters analyzed by this model are not mutually exclusive, that is, the same IRS can support several search options. More over, the representation means of queries and resources are not always comparable. The model makes it possible to identify IRSs with intersected triads «request-IR-result» and to perform their comparison precisely on these subclasses of search problems. This approach allows to select search algorithms that are more pertinent for specific user tasks and to choose on base of this selection appropriate retrieval services that provide information for further processing. An important feature of the proposed model is that it uses only those IRS characteristics that can be directly evaluated by retrieval users.

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Section: інформаційні ресурси серед яких здійснюється пошукunclassified

A three-dimensional model of semantic search: queries, resources, and results

Rogushina

2023

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“…Creating an agricultural extension recommendation system based on semantic web knowledge representation: ontology, web services, software agents; user personalisation; and knowledge-based system. (Pryima et al, 2020); (Jahanshiri & Walker, 2015) Gamify creator Designing and creating an agricultural extension with a gamification approach that prioritises playfulness (Klerkx, 2021) According to Rose et al (2018), the role of extension workers in delivering information has evolved into delivering hybrid knowledge, which farmers still need to obtain in cyberspace. The next differentiator is that extension workers also play a role in analysing big data.…”

Section: Software Developermentioning

confidence: 99%

Digital Transformation in The Agriculture Sector: Exploring The Shifting Role of Extension Workers

2022

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Dunia akan terus berkembang secara digital. Meningkatnya penggunaan teknologi digital secara eksponensial telah mendorong disrupsi, termasuk di sektor pertanian. Kehadiran teknologi digital telah mengubah cara orang berkomunikasi, belajar, dan berinteraksi. Kondisi ini juga menjadi tantangan baru bagi penyuluh pertanian bagaimana menyikapi perubahan masyarakat. Tulisan ini bertujuan (1) untuk menganalisis wawasan tentang bagaimana teknologi digital mentransformasi sektor pertanian Indonesia dan (2) untuk mengeksplorasi pergeseran peran penyuluh pertanian di era digital. Metode pendekatan yang digunakan adalah kualitatif. Kami menggunakan data kualitatif (pengamatan online) yang dikumpulkan di World Wide Web dengan observasi yang tidak mengganggu dan data dari tinjauan pustaka. Hasil penelitian menunjukkan teknologi digital mengubah sektor pertanian dalam dua hal, sistem pangan, dan sistem pengetahuan dan inovasi pertanian. Tulisan ini mencoba menunjukkan bahwa digitalisasi telah mengubah peran penyuluh pertanian. Peran Penyuluh diperbaharui untuk menyesuaikan diri dengan ekosistem digital, seperti informan, konsultan, penasehat, fasilitator, mediator, dan promotor. Serta perluasan peran penyuluh di bidang baru yaitu penyuluh sebagai content creator dan influencer, gatekeeper, translator, sense makers, expert user, big data analyst, artificial intelligence dan digital twin data scientist, pengambil keputusan , pengembang perangkat lunak, dan pembuat gamify. Sementara itu, untuk menjawab dua tantangan besar tersebut,

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Concepts and Models of Semantic Technologies

Rogushina

2022

Open Semantic Technologies for Intelligent Systems

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Ontological Analysis of Outcomes of Non-formal and Informal Learning for Agro-Advisory System AdvisOnt

Cited by 6 publications

References 5 publications

A three-dimensional model of semantic search: queries, resources, and results

A three-dimensional model of semantic search: queries, resources, and results

Digital Transformation in The Agriculture Sector: Exploring The Shifting Role of Extension Workers

Concepts and Models of Semantic Technologies

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