Research Excellence Award
Sherif ELdemerdash
Helwan University, Egypt
Sherif ELdemerdash is a researcher affiliated with Helwan University, Egypt, whose supplied scholarly record is associated with computer technology for design and simulation. His listed publication, “An Integrated ETL–OLAP and Semantic Retrieval Architecture for Hybrid Analysis of Structured and Unstructured Enterprise Data,” addresses the integration of data-processing, analytical, and semantic retrieval approaches. These technologies are relevant to enterprise information management, where organizations increasingly need to analyze data stored in different formats. This profile summarizes the supplied publication information and researcher identifiers in the context of the Research Excellence Award category of the Global CAD Awards. [1]
Abstract
This article outlines the supplied research profile of Sherif ELdemerdash and his work on integrated enterprise data analysis. The identified publication proposes an architecture combining extract, transform, and load (ETL) processes, online analytical processing (OLAP), and semantic retrieval for structured and unstructured information. These approaches address the challenge of extracting useful information from heterogeneous enterprise data sources. The publication details provide a starting point for investigating the proposed architecture, its implementation, and its potential applications. [1]
Keywords
Computer technology; computer-aided design; simulation; enterprise data; ETL; OLAP; semantic retrieval; data integration; information systems; structured and unstructured data.
Introduction
Organizations generate information through databases, documents, reports, and other digital resources. Combining these sources for analysis requires methods that preserve data quality while supporting efficient retrieval and interpretation. ETL workflows prepare and integrate information, OLAP supports multidimensional analysis, and semantic retrieval helps identify content according to meaning and context. Their integration represents a relevant direction in enterprise information architecture. [2]
Research Profile
The supplied profile lists one document, two citations, and an h-index of one under Scopus author ID 57403356000. These metrics represent the provided snapshot and may change as publications are indexed and cited. The listed affiliation is Helwan University in Egypt. The researcher’s ORCID identifier provides a persistent link for author identification. Bibliographic metrics alone do not establish the quality or practical impact of a research contribution. [3]
Research Contributions
The supplied publication title indicates a focus on combining several complementary data technologies:
- ETL processes for extracting, transforming, and loading information from multiple sources.
- OLAP-based analysis to support structured exploration of enterprise information.
- Semantic retrieval for finding relevant information across structured and unstructured data.
A combined architecture of this kind may support more integrated information access and analytical workflows. Its actual performance, novelty, and benefits must be assessed using the publication’s methods, results, and evaluation evidence. [1]
Publications
The supplied bibliographic record identifies the following journal article:
- “An Integrated ETL–OLAP and Semantic Retrieval Architecture for Hybrid Analysis of Structured and Unstructured Enterprise Data.” Information, October 16, 2026. DOI: 10.3390/info17101031.
The DOI provides a persistent link to the publisher’s record, where the complete author list, abstract, methodology, and publication details can be checked. [4]
Research Impact
Integrated enterprise data architectures may be relevant to business intelligence, information retrieval, and data-driven decision-making. Combining analytical processing with semantic search can potentially help users investigate information across different formats. However, the supplied bibliographic information does not establish specific performance gains or real-world adoption. Further assessment should consider reproducibility, comparative evaluation, scalability, and independent scholarly engagement.
Award Suitability
The listed publication provides a potential basis for consideration under a Research Excellence Award category because it addresses integration across established data-management and retrieval approaches. Evaluation could examine originality, technical rigor, practical relevance, and documented research outcomes. This article is a research-profile summary and does not confirm nomination, selection, or receipt of an award. Any recognition decision remains subject to the Global CAD Awards’ official criteria and verification procedures.
Conclusion
Sherif ELdemerdash’s supplied research record identifies work on integrated ETL–OLAP and semantic retrieval architecture for enterprise data analysis. The subject connects data integration, analytical processing, and information discovery. The publisher’s article record and the researcher’s identifiers provide starting points for further verification and evaluation.
External Links
References
- MDPI. (2026). An Integrated ETL–OLAP and Semantic Retrieval Architecture for Hybrid Analysis of Structured and Unstructured Enterprise Data. Information. DOI: 10.3390/info17101031.
- Kimball, R., and Ross, M. (2013). The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling. Wiley. This work provides general background on data warehousing and analytical data models.
- Elsevier. (n.d.). Scopus author details: Sherif ELdemerdash, Author ID 57403356000. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57403356000
- MDPI. (2026). Information, volume 17, article 1031. Publisher’s DOI record for the supplied publication. https://doi.org/10.3390/info17101031.
- ORCID. (n.d.). Researcher identifier: Sherif ELdemerdash.
https://orcid.org/0009-0006-8291-291X