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All Journal Journal of Applied Data Sciences International Journal for Applied Information Management Journal of Digital Market and Digital Currency
Sanyour, Rawan
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

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FUZRUF-onto: A Methodology to Develop Fuzzy Rough Ontologies Sanyour, Rawan; Abdullah, Manal
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.625

Abstract

Nowadays, semantic web technologies play a crucial role in the knowledge representation paradigm. With the rise of imprecise and vague knowledge, there is an upsurge demand in applying a concrete well-established procedure to represent such knowledge. Ontologies, particularly fuzzy ontologies, are increasingly applied in application scenarios in which handling of vague knowledge is significant. However, such fuzzy ontologies utilize fuzzy set theory to provide quantitative methods to manage vagueness. In various cases of real-life scenarios, people need to express their everyday requirements using linguistic adverbs such as very, exactly, mostly, possibly, etc. The aim is to show how fuzzy properties can be complemented by Rough Set methods to capture another type of imprecision caused by approximation spaces. Rough sets theory offers a qualitative approach to model such vagueness via describing fuzzy properties at multiple levels of granularity using approximation sets. Using rough-set theory, each fuzzy concept is represented by two approximations. The lower approximation PL(C) consists of a set of fuzzy properties that are definitely observable in the concept. The upper approximation PU(C) on the other hand contains fuzzy properties that are possibly associated with the concept but may not be observed. This paper introduces a methodology named FUZRUF-onto methodology, which is a formal guidance on how to build fuzzy rough ontologies from scratch using extensive research in the area of fuzzy rough combination. Fuzzy set and rough set theories are applied to capture the inherently fuzzy relationships among concepts expressed by natural languages. The methodology provides a very good guideline for formally constructing fuzzy rough ontologies in terms of completeness, correctness, consistency, understandability, and conciseness. To explain how the FUZRUF-onto works, and demonstrate its usefulness, a practical step by step example is provided.
Assessing Sentiment in YouTube Video Content: A Title and Description Analysis Approach to Analyze User Reactions Sanyour, Rawan; Abdullah, Manal; El Emary, Ibrahiem M. M.
International Journal for Applied Information Management Vol. 4 No. 4 (2024): Regular Issue: December 2024
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v4i4.93

Abstract

This study investigates the relationship between sentiment in YouTube video titles and descriptions and user engagement metrics, such as view count, like count, and comment count. The findings reveal that videos with positive sentiment generally attract higher levels of engagement, including more views, likes, and comments, while videos with negative sentiment typically receive lower interaction levels. The research emphasizes the importance of emotionally resonant content, suggesting that content creators should focus on producing videos with positive emotional tones to maximize audience interaction. Additionally, the study highlights the significance of well-crafted titles and descriptions as key drivers of engagement, as these textual elements influence viewers' initial expectations and emotional reactions. However, the study is limited to analyzing titles and descriptions, which may not fully capture the emotional tone of the video itself. Future research should incorporate the actual video content and explore additional engagement metrics, such as shares and watch time, for a more comprehensive understanding of viewer behavior. Despite these limitations, the study provides valuable insights that can guide content creators in tailoring their video content and metadata to foster greater viewer engagement and content success.
Examining User Satisfaction and Continuous Usage Intention of Digital Financial Advisory Platforms in Indonesia: An Integrated Model Approach Emary, Ibrahiem M. M. El; Sanyour, Rawan; Abdullah, Manal
Journal of Digital Market and Digital Currency Vol. 2 No. 2 (2025): Regular Issue June 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jdmdc.v2i2.30

Abstract

This study evaluates user satisfaction (US) and continuous intention (CI) to use digital financial advisory platforms in Indonesia. Utilizing structural equation modeling (SEM) with SmartPLS, we examined the relationships between perceived ease of use (PEU), perceived enjoyment (PE), service quality (SQ), US, and CI. Data were collected from 413 respondents via an online survey conducted between February and March 2024. The descriptive statistics for the main variables indicated that the mean scores ranged from 5.3 to 5.9 on a 7-point Likert scale, with standard deviations between 1.1 and 1.3. Our results show that PEU significantly influences PE (β = 0.923, t-value = 88.677, p < 0.001) and CI (β = 0.471, t-value = 13.950, p < 0.001). PE positively affects the US (β = 0.211, t-value = 7.248, p < 0.001), while SQ is a strong predictor of the US (β = 0.773, t-value = 29.423, p < 0.001). Furthermore, the US significantly impacts CI (β = 0.518, t-value = 15.117, p < 0.001). The R-squared values for the key constructs were 0.851 for PE, 0.876 for US, and 0.878 for CI, indicating substantial explanatory power. These findings underscore the importance of usability, enjoyment, and SQ in enhancing US and retention. The study contributes to the literature by providing an integrated model that combines these key variables, offering a comprehensive framework for understanding user behavior in digital financial advisory platforms. Theoretical contributions include extending the Technology Acceptance Model (TAM) by incorporating enjoyment and SQ. Practical implications suggest that platform providers prioritize user-friendly design, engaging features, and high service standards to improve the US and foster long-term engagement. Future research should explore additional factors, such as perceived security and trust, to further enrich the understanding of user behavior in digital financial services.
Co-Authors Abdullah, Manal El Emary, Ibrahiem M. M. Emary, Ibrahiem M. M. El