An ontology-based search engine for postgraduate students information at the ministry of higher education portal of Iraq

Abed, Hazim Noman; Tang, Alicia Y. C.; Cob, Zaihisma Che

doi:10.1109/isda.2013.6920710

Cited by 10 publications

(4 citation statements)

References 5 publications

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“…Similarly, in [13], the authors presented a framework for building an ontology to perform the process of information integration in four specific universities in Iraq. is work focuses on assisting postgraduate students in the process of searching for information relevant to postgraduate research.…”

Section: Related Workmentioning

confidence: 99%

Ontology-Based Smart System to Automate Higher Education Activities

et al. 2021

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The need for smart e-learning environments is resulting in new challenges for researchers and practitioners to develop intelligent systems that can be used to automate the Higher Education (HE) activities in an intelligent way. Some common examples of such activities are “analyzing, finding, and ranking the right resource to teach a course,” “analyzing and finding the people with common research interests to start joint research projects,” and “using data analytics and machine reasoning techniques for conducting the exams with different levels of complexities.” Ontological reasoning and smart data analytics can play an important role in analyzing and automating these HE activities and processes. In this paper, we present a framework named as Higher Education Activities and Processes Automation Framework (HEAPAF). The HEAPAF framework can be used to identify, extract, process, and produce the semantically enriched data in machine understandable format from different educational resources. We also present the Higher Education Ontology (HEO) that we designed and developed to accommodate the HE data and then to perform analysis and reasoning on it. As a proof of concept, we present a case study on the topic, “analyzing, finding, and ranking the right resources to teach a course,” which can dramatically improve the learning patterns of students in the growing smart educational environment. Finally, we provide the evaluation of our framework as evidence of its competency and consistency in improving academic analytics for educational activities and processes by using machine reasoning.

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Section: Related Workmentioning

confidence: 99%

Ontology-Based Smart System to Automate Higher Education Activities

et al. 2021

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“…As a consequence of starting with the most significant concepts to generalize and specialize in the process of ontology developing, the middle-out approach balances the level of detail, which brings about fewer efforts, therefore, this method is used in many application scenarios. 50,[68][69][70] The skeletal methodology provides a methodological framework for constructing ontology, and compared with other methods, it has steps for documenting operations and ontology evaluation, but this method only provides guidelines for constructing ontology and does not provide specific methods and techniques.…”

Section: Manual Methodsmentioning

confidence: 99%

Knowledge modeling: A survey of processes and techniques

Yun

Zhang

et al. 2021

Int J Intell Syst

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“…Nonetheless, this ODM remains a valuable tool for Ontology Engineering, particularly for domain experts, due to its ease of use and reduced dependence on ontology engineers. It has been successfully applied in various domains, including e-government [49] and education [50].…”

Section: ) Ontology Development 101 (Od101)mentioning

confidence: 99%

An Approach for Developing an Ontology: Learned from Business Model Ontology Design and Development

Nasir,

Sulaiman,

Leong

et al. 2024

IJACSA

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Ontology, serving as an explicit specification of conceptualization, has found widespread applications across various fields. Business Model Ontology (BMO) stands out as a prominent ontology, especially in the domains of business and entrepreneurship. This study employs the narrative literature review method to delve into the Ontology Development Method (ODM). By identifying commonalities among various ODMs and drawing insights from the BMO, the study proposes a Unified Ontology Approach (UOA) as an alternative ODM. The UOA is derived by combining the common characteristics and key steps of various ODMs, aiming to streamline the ontology development process and enhance its effectiveness. Through an extensive analysis of existing methodologies, this research contributes to the field by offering a consolidated perspective on ODMs. The study findings shed light on the strengths and weaknesses of different approaches, facilitating informed decision-making for ontology developers. Furthermore, the discussion explores the implications of adopting the UOA in practical applications, emphasizing its potential to improve ontology quality, interoperability, and adaptability across diverse domains. In conclusion, this paper advocates for the adoption of the UOA as a comprehensive and flexible framework for ontology development. By synthesizing the strengths of existing ODMs and insights from the BMO, the UOA offers a promising avenue for advancing the field of ontology development and driving progress in various domains and applications.

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An ontology-based search engine for postgraduate students information at the ministry of higher education portal of Iraq

Cited by 10 publications

References 5 publications

Ontology-Based Smart System to Automate Higher Education Activities

Ontology-Based Smart System to Automate Higher Education Activities

Knowledge modeling: A survey of processes and techniques

An Approach for Developing an Ontology: Learned from Business Model Ontology Design and Development

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