Amir Qayyum

Work place: Centre of Research in Networks & Telecom, M. A. Jinnah University, Islamabad, Pakistan



Research Interests: Engineering


Amir Qayyum: Male, Islamabad, Pakistan, Dr. Amir Qayyum received his Bachelors in Electrical Engineering from U.E.T., Lahore, Pakistan in 1991, then M.S. in Computer Engineering from E.S.I.M., France in 1995, then D.E.A. from University of Paris-Sud, France in 1996 and then Doctorate from University of Paris-Sud, France in 2000. He is currently a professor at M. A. Jinnah University, Islamabad and also the head of the Center of Research in Networks and Telecommunication (CoReNeT). His current research interests include mobility management framework for mobile devices, QoS and scalable multicast in IPv6 networks, MANETs and VANETs, VoIP and network security. Currently he is Dean of Faculty of Engineering at Mohammad Ali Jinnah University Islamabad Pakistan.

Author Articles
Semantic Schema Matching Using DBpedia

By Saira Gillani Muhammad Naeem Raja Habibullah Amir Qayyum

DOI:, Pub. Date: 8 Mar. 2013

In semantic computing, Match is an operator that takes as an input two graph-like structures; it can be database schemas or XML schemas and generates a mapping between the corresponding nodes of the two graphs. In semantic schema matching, we attempt to explore the mappings between the two schemas; based on their semantics by employing any semantic similarity measure. In this study, we have defined taxonomy of all possible semantic similarity measures; moreover we also proposed an approach that exploits semantic relations stored in the DBpedia dataset while utilizing a hybrid ranking system to dig out the similarity between nodes of the two graphs.

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Performance Evaluation of Index Schemes for Semantic Cache

By Sheneela Naz Muhammad Naeem Amir Qayyum

DOI:, Pub. Date: 8 Mar. 2013

In last decade of computing, a growing popularity for semantic cache schemes has been observed. Numerous techniques have been proposed for improved performance of semantic cache. Semantic cache is aimed towards reducing the network traffic load with the ability to address some queries without contacting the server. Semantic cache overcomes the limitations of previous page-caching and tuple-cache techniques. A prime concern of semantic cache includes query processing (query response-time) and cache management. The efficiency of semantic cache can be improved by using semantic indexing sachems. Semantic indexing sachems are segment based and hierarchical semantic indexing scheme. Both these sachems can improve the efficiency of query processing and cache management. In this paper, we have performed the evaluation of index schemes for Semantic Cache through the experimental study. Evaluations of these schemes are available in literature but experimental study is not available. Through this experiment, we have highlighted which technique is most suited in what kind of scenario.

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