Semantic Integration in Big Data: State-of-the-Art


  • Zaoui Sayah LINATI Laboratory, Department of Computer Science and New Technologies, KASDI Merbah University of Ouargla, Algeria
  • Okba Kazar Intelligent Computer Science Laboratory, Computer Science Department, University Mohamed Khider of Biskra, Algeria
  • Ahmed Ghenabzia LINATI Laboratory, Department of Computer Science and New Technologies, KASDI Merbah University of Ouargla, Algeria



Big data, Hadoop, ontology, semantic integration, interoperability


Nowadays, web users and systems continually overload the web with an exponential generation of a massive amount of data. This leads to making big data more important in several domains such as social networks, internet of things, health care, E-commerce, aviation safety, etc. The use of big data has become increasingly crucial for companies due to the significant evolution of information providers and users on the web. However, big data remain meaningless without semantics. In order to get a good comprehension of big data, we raise questions about how big data and semantic are related to each other and how semantic may help. To overcome this problem, researchers devote considerable time to the integration of ontology in big data to ensure reliable interoperability between systems in order to make big data more useful, readable and exploitable. This technology can hide the heterogeneity of different data resources. Moreover, in given domains, users can exchange knowledge without caring to choose the suitable semantic that makes their content more expressive. This paper aims to provide a comprehensive overview for readers about big data and the appropriate tools to manipulate and analyse them such as Hadoop. Afterwards, we talk about ontology and how it can be used to improve big data management and analyses for decision makers. Finally, different semantic integration approaches are seen in a comparative study. This survey is concluded with a discussion and some perspectives.


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Author Biographies

Zaoui Sayah, LINATI Laboratory, Department of Computer Science and New Technologies, KASDI Merbah University of Ouargla, Algeria

Zaoui Sayah is a Ph.D. Student and research associate in the Artificial Intelligence and Information Technologies Laboratory (LINATI). Department of Computer Science and Information Technologies, Ouargla University, Algeria. He has a scientific BAC in 2001. He received his DEUA in computer science from Biskra University, Algeria in 2004. He earned his license and Master degrees in distributed system and artificial intelligence in 2014 and 2016 respectively from El oued University, Algeria. His current research interests include Big Data, Ontology, MAS, IoT, energy saving.

Okba Kazar, Intelligent Computer Science Laboratory, Computer Science Department, University Mohamed Khider of Biskra, Algeria

Okba Kazar obtained his magister degree in 1997 from the Constantine University (Algeria) by working on artificial intelligence field. He obtained his PhD degree from the same university in 2005. He is member of editorial board of some Journals. He published more than 307 papers in international journals and communication in international conference. He participate as a session chair in international conferences, and he also published a book “Manual d’Intelligence artificielle”, Bigdata security” and five chapters book. His main research field is artificial intelligence, and he is interested in the multiagents systems and their applications, PHM in medical and industrial fields, ERP, advanced information systems, Web services, semantic Web, bigdata, Internet of things, and cloud computing. Actually, Okba KAZAR is a full professor at computer science department of Biskra University and director of smart computer science laboratory (LINFI). Ahmed

Ahmed Ghenabzia, LINATI Laboratory, Department of Computer Science and New Technologies, KASDI Merbah University of Ouargla, Algeria

Ahmed Ghenabzia is a Ph.D. student and research associate in the Artificial Intelligence and Information Technologies Laboratory (LINATI) at Kasdi Merbah University-Ouargla, Algeria. he received his IT engineering from ESI in Algiers, Algeria in 2013. He earned his licence and Master degrees in distributed system and artificial intelligence in 2016 respectively from El Oued University, Algeria. His current research interests include Data science, Big Data, multi-agent systems, IoT, Ontology and renewable energy.


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How to Cite

Sayah, Z., Kazar, O., & Ghenabzia, A. (2020). Semantic Integration in Big Data: State-of-the-Art. Journal of Mobile Multimedia, 15(3), 191–238.