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Dr. Siti Hajar Othman
School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia

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0 Conceptual Modelling
0 Disaster Management
0 Ontology
0 Risk Management
0 Security Management

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Journal article
Published: 20 January 2021 in Infrastructures
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Using a face validity approach, this paper provides a validation of the Database Forensic Investigation Metamodel (DBFIM). The DBFIM was developed to solve interoperability, heterogeneity, complexity, and ambiguity in the database forensic investigation (DBFI) field, where several models were identified, collected, and reviewed to develop DBFIM. However, the developed DBFIM lacked the face validity-based approach that could ensure DBFIM’s applicability in the DBFI field. The completeness, usefulness, and logic of the developed DBFIM needed to be validated by experts. Therefore, the objective of this paper is to perform the validation of the developed DBFIM using the qualitative face validity approach. The face validity method is a common way of validating metamodels through subject expert inquiry on the domain application of the metamodel to assess whether the metamodel is reasonable and compatible based on the outcomes. For this purpose, six experts were nominated and selected to validate the developed DBFIM. From the expert review, the developed DBFIM was found to be complete, coherent, logical, scalable, interoperable, and useful for the DBFI field.

ACS Style

Arafat Al-Dhaqm; Shukor Razak; Richard A. Ikuesan; Victor R. Kebande; Siti Hajar Othman. Face Validation of Database Forensic Investigation Metamodel. Infrastructures 2021, 6, 13 .

AMA Style

Arafat Al-Dhaqm, Shukor Razak, Richard A. Ikuesan, Victor R. Kebande, Siti Hajar Othman. Face Validation of Database Forensic Investigation Metamodel. Infrastructures. 2021; 6 (2):13.

Chicago/Turabian Style

Arafat Al-Dhaqm; Shukor Razak; Richard A. Ikuesan; Victor R. Kebande; Siti Hajar Othman. 2021. "Face Validation of Database Forensic Investigation Metamodel." Infrastructures 6, no. 2: 13.

Journal article
Published: 01 November 2016 in Expert Systems with Applications
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Timely knowledge sharing in disaster management (DM) is clearly vital, but it is remains challenging. Roles involved in DM processes often cut across many organizational boundaries and are dynamic. Knowledge involved is enormous and diverse. It includes information related to varieties of disasters, roles descriptions, plans and operations. Alas, practices may also vary across different regions and authorities. This paper makes a crucial contribution to address the knowledge sharing challenge by providing a knowledge based systems approach to facilitate structuring, storing and reusing DM knowledge. The contribution of this paper is three folds: Firstly, it presents a metamodel-based architecture suitable for various distributed knowledge sharing settings; Secondly, it presents an actual implementation of such a system, the Disaster Management Knowledge Repository (DMKR1.0). DMKR facilitates collaboration and DM knowledge sharing using a tailored DM language. This offers a flexible structure to allow the storage and retrieval not only of observed and measured data, but also interpretative and inferred information of the disaster management knowledge. Thirdly, the paper provides disaster management exemplars of how DMKR users can easily instantiate DM models to communicate and to generalize their knowledge for the benefit of sharing it within their community. This presents a compelling evidence of the soundness and the effectiveness of the overall approach to DM knowledge sharing.

ACS Style

Siti Hajar Othman; Ghassan Beydoun. A metamodel-based knowledge sharing system for disaster management. Expert Systems with Applications 2016, 63, 49 -65.

AMA Style

Siti Hajar Othman, Ghassan Beydoun. A metamodel-based knowledge sharing system for disaster management. Expert Systems with Applications. 2016; 63 ():49-65.

Chicago/Turabian Style

Siti Hajar Othman; Ghassan Beydoun. 2016. "A metamodel-based knowledge sharing system for disaster management." Expert Systems with Applications 63, no. : 49-65.

Journal article
Published: 20 September 2016 in Indian Journal of Science and Technology
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Objectives: There are numerous assessment practices being implemented by higher education practitioners. However, these best practices are not widely shared. In this study, a metamodel that shares the best practices is created to denote important concepts and knowledge related. Methods/Statistical Analysis: The development is using 8-steps metamodelling approach adapted in, this approach uses various models to analyse and construct the concepts, rules, constraint and relationships to model a predefined class of problem domain. There are twenty assessment models used for development and validation. The validation technique used is comparison against other model, in order to check the completeness of the metamodel. Then, the propose knowledge repository is created to represent the practicality of the metamodel. Findings: The resultant from metamodeling development is the Assessment-based Metamodel represented using UML class diagram. The concepts embedded together with the relationships cover 16 important related concepts. The creation of the metamodel can be used as a foundation of Assessment Knowledge Repository (AKR). It gathers all concepts, processes and allows various approaches to be easily shared and communicated. The AKR also consists of a collection of best practices in assessment viewed by various levels of stakeholders. Application/Improvements: This study proposes the Assessment-based Metamodel which has a capability to capture various knowledge and best practices in implementing assessment in higher education. The metamodel enables people to communicate in a well-defined language, simultaneously easy for knowledge sharing and helps in decision making. While the AKR demonstrates the usefulness of the metamodel.

ACS Style

Rashidah Mokhtar; Azizah Abdul Rahman; Siti Hajar Othman. An Assessment-based Metamodel towards a Best Practice Assessment Model in Higher Education. Indian Journal of Science and Technology 2016, 9, 1 .

AMA Style

Rashidah Mokhtar, Azizah Abdul Rahman, Siti Hajar Othman. An Assessment-based Metamodel towards a Best Practice Assessment Model in Higher Education. Indian Journal of Science and Technology. 2016; 9 (34):1.

Chicago/Turabian Style

Rashidah Mokhtar; Azizah Abdul Rahman; Siti Hajar Othman. 2016. "An Assessment-based Metamodel towards a Best Practice Assessment Model in Higher Education." Indian Journal of Science and Technology 9, no. 34: 1.