Work place: Information Technology Department, College of Computer & Information Sciences, King Saud University Riyadh, Saudi Arabia
E-mail: malyahya@ksu.edu.sa
Website:
Research Interests: Computational Engineering, Computer systems and computational processes, Engineering
Biography
Maha M. Al-Yahya is an Assistant Professor at the Information Technology Department, College of Computer and Information Sciences, King Saud University (KSU). She obtained her Masters degree in Computer Science from the University of Bristol, UK, and a PhD in Computer Science from the University of Nottingham, UK. She is currently the Head of Information Technology Department at the College of Computer and Information Sciences at King Saud University (KSU), Riyadh, Saudi Arabia. She is a member of the IWAN Research Group, which specializes in Web Technologies at the College of Computer and Information Sciences at KSU. Her research interests include the semantic web, ontological engineering, and learning technologies. She has published over 20 papers in international conferences and refereed journals.
By Maha Al-Yahyab Mona Al-Shaman Nehal Al-Otaiby Wafa Al-Sultan Asma Al-Zahrani Mesheal Al-Dalbahie
DOI: https://doi.org/10.5815/ijmecs.2015.07.07, Pub. Date: 8 Jul. 2015
Semantic annotation is the process of adding semantic metadata to resources. Semantic metadata is data concerning the meaning of entities and the relationships that exist. Semantic annotation cannot be performed without an ontology suitable for the task. In this research paper, we describe the design, implementation, and evaluation of a lexical ontology for Arabic semantic relations. The main purpose of the ontology is to facilitate the task of semantic annotation of the Arabic textual content. The ontology was evaluated for usability and usefulness using a prototype system for the automated semantic annotation of Arabic text. The results of the evaluation indicated that the ontology was fit for the purpose of semantic annotation of Arabic text with lexical relations. The evaluation has also revealed important findings and recommendations for designing Arabic semantic annotation tools.
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