Assoc. Prof. Dr. Leila Zemmouchi-Ghomari, National Higher School of Advanced Technologies, Algeria
Assoc. Prof. Dr. Leila Zemmouchi-Ghomari is a distinguished academic and researcher at the National Higher School of Advanced Technologies in Algiers, Algeria, and a core member of the Intelligent Transportation Systems team at the Laboratory of Innovative Technologies. She holds a PhD in Computer Science (2014) and a post-doctoral accreditation to supervise research (2019), with a strong foundation in ontology engineering, semantic web, and Industry 4.0. With prior roles at USTHB and UMBB universities, and over a decade of industrial experience as an IT engineer, she has taught subjects like databases, algorithms, and information systems. Dr. Zemmouchi-Ghomari has authored numerous journal articles, books, and conference papers focusing on semantic technologies, open data, manufacturing, and AI applications in transportation. Her notable contributions include enhancing data interoperability, Industry 4.0 frameworks, and predictive analytics using machine learning. She is a recognized thought leader in digital governance, knowledge modeling, and linked data integration.
Publication Profile
Google Scholar
Academic Qualifications
Assoc. Prof. Dr. Leila Zemmouchi-Ghomari holds a distinguished academic background in computer science, emphasizing semantic technologies and information systems. She earned her Accreditation to Supervise Research on October 23, 2019—an advanced post-doctoral qualification enabling her to guide PhD candidates. She completed her PhD in Computer Science on January 23, 2014, at Ecole Nationale Supérieure d’Informatique (ESI), Algiers, with a dissertation titled “Towards a Reference Ontology for Higher Education Domain (HERO)”, showcasing her pioneering work in ontology development. Prior to this, she obtained a Research Master’s degree in Computer Science on January 31, 2009, where her thesis compared syntactic and semantic ontology alignment systems using tools like COMA++ and OWL-CTXMatch. Her academic journey began with an Engineering degree in Computer Science, with a specialization in Information Systems, from the Institut National en Informatique (INI), Algiers, earned on September 26, 1996. This solid educational foundation underpins her extensive contributions to research and teaching.
Professional Career
Assoc. Prof. Dr. Leila Zemmouchi-Ghomari has built a progressive and impactful academic and professional career in computer science and information systems. Since 2017, she has served as an Associate Professor at the Ecole Nationale Supérieure de Technologie (ENST) in Algiers, Algeria, where she teaches courses including Databases, Algorithmic, C Programming, Object-Oriented Programming, Management of Information Systems, and Business Process Modeling (BPMN). Prior to this, from 2014 to 2017, she held the position of Assistant Professor at the Université des Sciences et des Technologies Houari Boumediene (USTHB), instructing in Information Systems and Algorithmic. Between 2009 and 2013, she worked as a Lecturer at Université M’hamed Bougara Boumèrdes (UMBB), focusing on system design methodologies, decision support systems, and IT management. Her career began with a decade of industry experience as an IT Engineer in the banking sector (1996–2006), giving her practical insights that enrich her academic expertise and research.
Research Focus
Assoc. Prof. Dr. Leila Zemmouchi-Ghomari’s research primarily focuses on semantic technologies, knowledge representation, and intelligent systems. Her work bridges the domains of ontology engineering, semantic web, linked data, and information systems to enhance data interoperability and intelligent decision-making. With highly cited contributions in areas like reference ontology development, SPARQL query generation, and machine learning for predictive maintenance, she has played a vital role in merging AI with knowledge modeling. She also explores the integration of semantic technologies into Industry 4.0, open government data, and collaborative decision-making systems, reflecting her interdisciplinary impact across both academic and industrial domains. Her top-cited publications demonstrate her expertise in aligning domain ontologies, transforming natural language into machine-readable formats, and improving system-level understanding using formal knowledge structures. Furthermore, she investigates the role of semantic frameworks in digital governance, data quality, and automated systems, positioning her work at the intersection of emerging technologies and applied informatics.
Publication Top Notes
📊 “Selecting an appropriate supervised machine learning algorithm for predictive maintenance” – Cited by 95 (2022) 🤖🔧
💬 “Translating natural language competency questions into SPARQL queries: a case study” – Cited by 47 (2013) 🌐🔍
📘 “Process of building reference ontology for higher education” – Cited by 47 (2013) 🎓📑
💡 “Basic concepts of information systems” – Cited by 35 (2021) 🖥️📚
🧠 “Reference ontology” – Cited by 22 (2009) 🧩🔎
📖 “Ontology versus terminology, from the perspective of ontologists” – Cited by 20 (2012) 🧬🗣️
🏫 “Towards a reference ontology for higher education knowledge domain” – Cited by 13 (2013) 📊📖
🤝 “A CRM process model for agent-based simulation” – Cited by 12 (2017) 🛠️🤖
📈 “Essential and New Maintenance KPIs Explained” – Cited by 9 (2022) 🧾⚙️
🌐 “How industry 4.0 can benefit from semantic web technologies and artefacts” – Cited by 8 (2021) 🏭🔗
🧪 “A New Approach for Human Assessment of Ontologies” – Cited by 8 (2013) 🧠📐
🔗 “Cohabitation of relational databases and domain ontologies in the Semantic Web context” – Cited by 7 (2018) 📂🧱
🌍 “Crowdsourced collaborative decision making in crisis management” – Cited by 7 (2018) 🧑🤝🧑🦗
🛠️ “Selection and Impact Study of CMMS use on Maintenance” – Cited by 6 (2020) ⚙️📊
🧩 “Integrating an ontology into a software system” – Cited by 6 (2017) 🧠💻
🧠 “Ontology and Machine Learning: A Two-Way Street…” – Cited by 5 (2023) 🤖🧠