Graph-based data management system for efficient information storage, retrieval and processing
References
[1]
Abutaleb G., Eldahshan K., Elhabshy A., Data in the time of COVID-19: a general methodology to select and secure a NoSQL DBMS for medical data, PeerJ Computer Science (2020).
[2]
Aldwairi, M., Duwairi, R., & Alqarqaz, W. (2009). A Classification System for Predicting RNA Hairpin Loops. In 2009 international joint conference on bioinformatics, systems biology and intelligent computing (pp. 109–115). https://doi.org/10.1109/IJCBS.2009.123.
[3]
Almeida J., Fajarda O., Pereira A., Oliveira J., Strategies to access patient clinical data from distributed databases, in: Proceedings of the 12th international joint conference on biomedical engineering systems and technologies - HEALTHINF, SciTePress, INSTICC, 2019, pp. 466–473,.
[4]
Alsaadi H.H., Aldwairi M., Yasin F., Cachinho S.C.P., Hussein A., Artificial intelligence tool for the study of COVID-19 microdroplet spread across the human diameter and airborne space, 2022,. MedRxiv. arXiv:https://www.medrxiv.org/content/early/2022/06/01/2022.06.01.22275872.full.pdf, URL: https://www.medrxiv.org/content/early/2022/06/01/2022.06.01.22275872.
[5]
Angles R., Gutierrez C., Survey of graph database models, ACM Computing Surveys 40 (1) (2008).
[6]
Arias, J. F. (2020). The Benefits of Graph Databases for the Computation of Clinical Quality Measures. In 2020 IEEE 33rd international symposium on computer-based medical systems (CBMS) (pp. 433–436).
[7]
Asri, H., Mousannif, H., Al Moatassime, H., & Noel, T. (2015). Big data in healthcare: Challenges and opportunities. In 2015 international conference on cloud technologies and applications (cloudtech) (pp. 1–7).
[8]
Ataky T. M S., Ferreira L., Ribeiro M., Prado Santos M., Evaluation of graph databases performance through indexing techniques, International Journal of Artificial Intelligence & Applications (IJAIA) 06 (2015) 87–98.
[9]
Banane M., Belangour A., El Houssine L., Storing RDF data into big data NoSQL databases, in: Mizera-Pietraszko J., Pichappan P., Mohamed L. (Eds.), Lecture notes in real-time intelligent systems, Springer International Publishing, Cham, 2019, pp. 69–78.
[10]
Bao L., Yang J., Wu C.Q., Qi H., Zhang X., Cai S., XML2HBase: Storing and querying large collections of XML documents using a NoSQL database system, Journal of Parallel and Distributed Computing 161 (2022) 83–99,. URL: https://www.sciencedirect.com/science/article/pii/S0743731521002100.
[11]
Bhattacharyya, A., & Chakravarty, D. (2020). (Graph Database: A Survey). In 2020 international conference on computer, electrical communication engineering (ICCECE) (pp. 1–8).
[12]
Cheriguene, S., Azizi, N., Djellali, H., Bunakhla, O., Aldwairi, M., & Ziani, A. (2017). New computer aided diagnosis system for glaucoma disease based on twin support vector machine. In 2017 first international conference on embedded & distributed systems (EDiS) (pp. 1–6). https://doi.org/10.1109/EDIS.2017.8284039.
[13]
Cimmino A., Poveda-Villalon M., Garcia-Castro R., eWoT: A semantic interoperability approach for heterogeneous IoT ecosystems based on the web of things, Sensors 20 (3) (2020).
[14]
Davoudian A., Chen L., Liu M., A survey on NoSQL stores, ACM Computing Surveys 51 (2) (2018).
[15]
De Abreu D., Flores A., Palma G., Pestana V., Piñero J., Queipo J., et al., Choosing between graph databases and RDF engines for consuming and mining linked data, in: Proceedings of the fourth international conference on consuming linked data - Volume 1034, in: COLD13, CEUR-WS.org, Aachen, DEU, 2013, pp. 37–49.
[16]
Decker S., Mitra P., Melnik S., Framework for the semantic web: an RDF tutorial, IEEE Internet Computing 4 (6) (2000) 68–73.
[17]
Dumontier M., Building an effective semantic Web for health care and the life sciences, Semantic Web 1 (1, 2) (2010) 131–135.
[18]
Eshtay M., Sleit A., Aldwairi M., Implementing bi-temporal properties into various NoSQL database categories, International Journal of Computing 16 (1) (2019).
[19]
Foundation E., RDF4j framework, 2022, https://rdf4j.org/, Accessed: May, 25, 2022.
[20]
Foundation E., RDF4j tutorial, 2022, https://rdf4j.org/documentation/tutorials/, Accessed: May, 25, 2022.
[21]
Foundation T.A.S., SPARQL tutorial, 2022, https://jena.apache.org/tutorials/sparql.html, Accessed: May, 25, 2022.
[22]
Guia J., Soares V.G., Bernardino J., Graph databases: Neo4j analysis, in: Proceedings of the 19th international conference on enterprise information systems - Volume 3: ICEIS,, SciTePress, INSTICC, 2017, pp. 351–356.
[23]
Hertel A., Broekstra J., Stuckenschmidt H., RDF storage and retrieval systems, in: Handbook on ontologies, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, pp. 489–508.
[24]
Imran S., Mahmood T., Morshed A., Sellis T., Big data analytics in healthcare – A systematic literature review and roadmap for practical implementation, IEEE/CAA Journal of Automatica Sinica 8 (1) (2021) 1–22.
[25]
Janos A., Steinbrunn W., Pfisterer M., Detrano R., Heart disease data set, 2022, https://archive.ics.uci.edu/ml/datasets/Heart+Disease, Accessed: May, 25, 2022.
[26]
Jarrah M., Al-khatieb B., Mahasneh N., Al-khateeb B., Jararweh Y., GDBApex: A graph-based system to enable efficient transformation of enterprise infrastructures, Software - Practice and Experience (2020).
[27]
Katzung B.G., Medical conditions and their commonly used drugs, 2022, https://www.emedexpert.com/lists/conditions.shtml, Accessed: May, 25, 2022.
[28]
Kaur S., Kaur K., Visualizing class diagram using orientdb NOSQL data – store, International Journal of Computer Applications 145 (2016) 11–15.
[29]
Kotiranta P., Junkkari M., Nummenmaa J., Performance of graph and relational databases in complex queries, Applied Sciences 12 (13) (2022),. URL: https://www.mdpi.com/2076-3417/12/13/6490.
[30]
Kotsilieris T., An efficient agent based data management method of NoSQL environments for health care applications, Healthcare (Basel, Switzerland) 9 (3) (2021) 322.
[31]
Kuhn M., Letunic I., Jensen L., Bork P., The SIDER database of drugs and side effects., 2022, http://sideeffects.embl.de/download/, Accessed: May, 25, 2022.
[32]
Kundu G., Mukherjee N., Mondal S., Building a graph database for storing heterogeneous healthcare data, in: Senjyu T., Mahalle P.N., Perumal T., Joshi A. (Eds.), Information and communication technology for intelligent systems, Springer Singapore, Singapore, 2021, pp. 193–201.
[33]
Mason, R. T. (2015). NoSQL databases and data modeling techniques for a document-oriented NoSQL database. In Proceedings of informing science & IT education conference (InSITE) (pp. 259–268). https://doi.org/10.28945/2245.
[34]
Mater W., Aldwairi M., Ibrahim R., Enhanced teamwork communication model for electronic clinical pathways in healthcare, The Open Bioinformatics Journal 11 (3) (2018).
[35]
Neo4j I., The native graph database for todayś connected applications, 2022, https://neo4j.com/product/neo4j-graph-database/, Accessed: May, 25, 2022.
[36]
Neo4j I., Neo4j life sciences and healthcare network, 2022, https://neo4j.com/developer/life-sciences-and-healthcare/, Accessed: May, 25, 2022.
[37]
Neo4j I., Real-time recommendation engines for a connected world, 2022, https://go.neo4j.com/rs/710-RRC-335/images/Neo4j-Real-Time%20Recommendations-datasheet.pdf, Accessed: May, 25, 2022.
[38]
News I.T., The impact of big data on the healthcare industry, 2022, https://irishtechnews.ie/the-impact-of-big-data-on-the-healthcare-industry, Accessed: May, 25, 2022.
[39]
OrientDB I.T., Orientdb, 2022, https://orientdb.com/support/, Accessed: May, 25, 2022.
[40]
Özsu M.T., A survey of RDF data management systems, Frontiers of Computer Science 10 (2016).
[41]
Park, Y., Shankar, M., Park, B.-H., & Ghosh, J. (2014). Graph databases for large-scale healthcare systems: A framework for efficient data management and data services. In 2014 IEEE 30th international conference on data engineering workshops (pp. 12–19). https://doi.org/10.1109/ICDEW.2014.6818295.
[42]
Puustjarvi, J., & Puustjarvi, L. (2009). Semantic Exchange of Medicinal Data: A Way Towards Open Healthcare Systems. In 2009 third international conference on digital society (pp. 168–173). https://doi.org/10.1109/ICDS.2009.59.
[43]
Robu I., Robu V., Thirion B., An introduction to the semantic web for health sciences ibrarians, Journal of the Medical Library Association : JMLA 94 (2006) 198–205.
[44]
Santana L.H.Z., Mello R.d.S., An analysis of mapping strategies for storing RDF data into nosql databases, in: Proceedings of the 35th annual ACM symposium on applied computing, in: SAC 20, Association for Computing Machinery, New York, NY, USA, 2020, pp. 386–392.
[45]
Schätzle A., Przyjaciel-Zablocki M., Skilevic S., Lausen G., S2RDF: RDF querying with SPARQL on spark, Proceedings of the VLDB Endowment 9 (10) (2016) 804–815.
[46]
Scott I., Abdel-Hafez A., Barras M., Canaris S., What is needed to mainstream artificial intelligence in health care?, Australian Health Review (2021).
[47]
solid I.T., Graph databse ranking, 2022, https://db-engines.com/en/ranking/graph+dbms, Accessed: May, 25, 2022.
[48]
Suleykin, A. S., & Panfilov, P. B. (2022). Designing Data-Intensive Application System for Production Plans Data Processing and Near Real-Time Analytics. In 2022 8th international conference on control, decision and information technologies (CoDIT), Vol. 1 (pp. 1495–1500). https://doi.org/10.1109/CoDIT55151.2022.9804133.
[49]
Touahri R., Azizi N., Hammami N.E., Aldwairi M., Benzebouchi N.E., Moumene O., Multi source retinal fundus image classification using convolution neural networks fusion and gabor-based texture representation, International Journal of Computational Vision and Robotics 11 (4) (2021).
[50]
Ullah F., Habib M.A., Farhan M., Khalid S., Durrani M.Y., Jabbar S., Semantic interoperability for big-data in heterogeneous IoT infrastructure for healthcare, Sustainable Cities and Society 34 (2017) 90–96.
[51]
W3C F., Semantic web, 2022, https://www.w3.org/standards/semanticweb/, Accessed: May, 25, 2022.
[52]
W3C F., SPARQL 1.1 query language, 2022, https://www.w3.org/TR/sparql11-query/, Accessed: May, 25, 2022.
[53]
Wang, H., Miao, X., & Yang, P. (2018). Design and Implementation of Personal Health Record Systems Based on Knowledge Graph. In 2018 9th international conference on information technology in medicine and education (ITME) (pp. 133–136).
[54]
Zemmal, N., Azizi, N., Ziani, A., Benzebouchi, N. E., & Aldwairi, M. (2019). An Enhanced Feature Selection Approach based on Mutual Information for Breast Cancer Diagnosis. In 2019 6th international conference on image and signal processing and their applications (ISPA) (pp. 1–6). https://doi.org/10.1109/ISPA48434.2019.8966803.
[55]
Zenuni X., Raufi B., Ismaili F., Ajdari J., State of the art of semantic web for healthcare, Procedia - Social and Behavioral Sciences 195 (2015) 1990–1998. World Conference on Technology, Innovation and Entrepreneurship.
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Published: 01 March 2023
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