E.Hossny, S. Khattab, O. A. Omara, and H. Hassan, "STAGER: Semantic-based Framework for Generating Adapters of Service-based Generic-API for Portable Cloud Applications", IEEE Transactions on Services Computing, pp. 1 - 1, 2018. Abstract

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Othman, M., H. Hassan, R. Moawad, and A. M. Idrees, "A Linguistic Approach for Opinionated Documents Summary", Future Computing and Informatics Journal, vol. In Press, Corrected Proof, Available online 11 November 2017, 2017.
Said Saleh, M., O. Ismail, A. Kamel, and H. Hassan, From CommonKADS to SOA Environment: An Adaptation Model, , 2018. AbstractWebsite

Common knowledge acquisition and documentation structuring (CommonKADS) methodology is used for building knowledge-based systems. Legacy systems built depending on CommonKADS suffer from weak points regarding reusability. The main objectives of this work are: (1) switching of CommonKADS methodology from just a design model to be an executable application, (2) facilitating the linkage and cooperation between CommonKADS services that are using different terminologies and (3) enhancing suitability and reusability of existing CommonKADS-based systems. An enhancement to the CommonKADS methodology in order to improve its applications reusability is introduced. This enhancement contains an adaptation of the original CommonKADS methodology and utilization of service-oriented architecture (SOA) as a promising software engineering technology. The proposed adaptation model includes two alternative processes: adjusting and converting. An adjusting process performs a transformation of the existing CommonKADS layers to be SOA-enabled so that it includes representing the data in a new standard form to be transformed into set of services. Converting process is concerned with changing CommonKADS-based legacy systems to SOA-enabled systems through using GenericSOA framework. An example application, a potato CommonKADS-based expert system, was used to evaluate the new proposed model through the analysis and automated restructuring of it to be SOA-enabled system.

Hassan, H., E. Nabil, and M. Rady, "Different Aspects for Supplier Evaluation and Selection to Improve Supply Chain Performance", International Journal of Electrical & Computer Sciences IJECS-IJENS, vol. 15, issue 6, pp. 35-51, 2015. 158006-1717-ijecs-ijens.pdf
Hossny, E., S. Khattab, F. Omara, and H. Hassan, "Semantic-based generation of generic-API adapters for portable cloud applications", CrossCloud '16 Proceedings of the 3rd Workshop on CrossCloud Infrastructures & Platforms, UK, April, 2016.
Hassan, H., E. Nabil, and M. RADY., "A Model for Evaluating and Improving Supply Chain Performance", International Journal of Computer Science and Software Engineering , vol. 4, issue 11, pp. 283-302, 2015.
Hassan, H., E. Nabil, and M. Rady, "Supply Chain Performance Paradigms: A Survey", International Journal of Electrical & Computer Sciences IJECS-IJENS, vol. 15, issue 6, pp. 6-22, 2015. 157906-3838-ijecs-ijens.pdf
Othman, M., H. Hassan, R. Moawad, and A. M. Idrees, "Using NLP Approach for Opinion Types Classifier", Journal of Computers (JCP),, vol. 11, issue 5, 2016.
Mohsen, A. M., H. A. Hassan, and A. M. Idrees, "A Proposed Approach for Emotion Lexicon Enrichment", ICDAR 2016: International Conference on Document Analysis and Recognition, vol. 2, no. 1, Johannesburg, South Africa, Fayoum University, pp. 1786, Jan 12-13, 2016. Abstract

Document analysis is an important research field that aims to gather information by analyzing data in documents. As one of the important targets for many fields is to understand what people actually want, sentimental analysis field has been one of the vital fields that are tightly related to the document analysis. This research focuses on analyzing text documents to classify each document according to its opinion. The aim of this research is to detect the emotions from text documents based on enhancing the lexicon based approach. The proposed approach has been presented and different experiments are applied by different perspectives to reveal the positive impact of the proposed approach on the classification results.

Mohsen, A. M., H. A. Hassan, and A. M. Idrees, "Documents Emotions Classification Model Based on TF-IDF Weighting Measure", ICEDM 2016: International Conference on Educational Data Mining,, , vol. 2, no. 1, Copenhagen, Denmark, Fayoum University, pp. 1795, Jun 27-28, 2016.