Big Data Integration: A MongoDB Database and Modular Ontologies based Approach

Procedia Computer Science

Volumn 96, Issue , 2016, Pages 446-455

  Abbes, Hanen ^a   Gargouri, Faiez ^a  

^a Faculty of Economics and Management of Sfax   (Tunisia)

Author keywords

Big Data; Modular ontologies; MongoDB; NOSQL; Ontology learning

Indexed keywords

DATA ACQUISITION; DATA INTEGRATION; DATABASE SYSTEMS; KNOWLEDGE BASED SYSTEMS;

DATABASE MANAGEMENT; FORMAL DESCRIPTION; MODULAR ONTOLOGIES; MONGODB; NOSQL; NOSQL DATABASE; ONTOLOGY LEARNING; ONTOLOGY-BASED;

BIG DATA;

EID: 84988864509     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2016.08.099     Document Type: Conference Paper

References (27)

1. Kaisler S, Armour F, Espinosa JA, Money W. Big data: issues and challenges moving forward. 6th Hawaii International Conference on System Sciences (HICSS) 2013. IEEE; p. 995-1004.
2. Gupta R, Gupta H, Mohania M. Cloud Computing and Big Data Analytics: What Is New from Databases Perspective?. In: Srinivasa S, Bhatnagar V, editors. Big Data Analytics, Volume 7678 Lecture Notes in Computer Science. New York: Springer-Verlag; 2012. p. 42-61.
3. Zikopoulos P, Eaton C. Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw-Hill/Osborne Media; 2011.
4. Boden C, Karnstedt M, Fernandez M, Markl V. Large-scale Social-media Analytics on Stratosphere. In: Proceedings of the 22nd International Conference on World Wide Web Companion; 2013. p. 257-260.
5. Lenzerini M. Data Integration: A Theoretical Perspective. In: Proceedings of the Twenty-first ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems. Madison, Wisconsin, USA; 2002. p. 233-246.
6. Malucelli A, Oliveira E. Ontology-Services to Facilitate Agents' Interoperability. In: Lee J, Barley M, editors. Proceedings of the Sixth Pacific Rim International Workshop on Multi-Agents (PRIMA). Springer-Verlag, LNAI 2891, Korea; 2003. p 170-181.
7. Wache H, Vögele T, Visser U, Stuckenschmidt H, Schuster G, Neumann H, Hübner S. Ontology-Based Integration of Information-A Survey of Existing Approaches. In: Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI-01), Workshop: Ontologies and Information Sharing, Seattle, USA, 2001.
8. Gruber TR. A translation approach to portable ontology specifications. Knowledge Acquisition. 5(2); 1993. p. 199-220.
9. Benjamin V, Perez AG. Knowledge system technology: ontology and problem solving methods. 1999.
10. Bontcheva K, Sabou M. Learning Ontologies from Software Artifacts: Exploring and Combining Multiple Sources. In Proceedings of the 2nd International Workshop on Semantic Web Enabled Software Engineering (SWESE); 2006.
11. Cimiano P, Mädche A, Staab S, Völker J. Ontology Learning. Handbook on Ontologies; 2009. p. 245-267.
12. Kadadi A, Agrawal R, Nyamful C, Atiq R. Challenges of data integration and interoperability in big data. IEEE International Conference on Big Data; 2014. p. 38-40.
13. Hashemi IA, Schneider T. Ontology Summit 2012 Communique - v1.01 Ontology for Big Systems; 2012.
14. Curé O, Lamolle M, Le Duc C. Ontology Based Data Integration Over Document and Column Family Oriented NOSQL. In The Computing Research Repository (Corr); 2013.
15. Baader F, Calvanese D, McGuiness DL, Nardi D, Patel-Schneider P. The Description Logic Handbook: Theory, Implementation, Applications", Cambridge University Press, Cambridge, UK. 2003.
16. Baader F, Sertkaya B, Turhan AY. Computing the least common subsumer w.r.t. a background terminology. In Journal of Applied Logic; 2004. p. 400-412, Springer.
17. Obitko M, Snasel V, Smid J. Ontology design with formal concept analysis. CLA. vol. 110; 2004.
18. Zimmermann A, Le Duc C. Reasoning with a network of aligned ontologies. In Proceedings of the 2nd International Conference on Web Reasoning and RuleSystems (ICWRRS); 2008. P. 43-57.
19. Jirkovský V, Obitko M. Semantic Heterogeneity Reduction for Big Data in Industrial Automation. In: Information Technologies - Applications and Theory ITAT; 2014.
20. Jirkovský V, Ichise R. Mapsom: User involvement in ontology matching. In Proceedings of the 3rd JIST Conference, Springer; 2013.
21. Bansal SK, Kagemann S. Integrating Big Data: A Semantic Extract-Transform-Load Framework. Computer, vol.48, no. 3, 2015. pp. 42-50.
22. Abbes H, Boukettaya S, Gargouri F: Learning Ontology from Big Data through MongoDB Database. In: the 12th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA); 2015.
23. Jarrar M. Towards Methodological Principles For Ontology Engineering. Phd Thesis, Vrije Universiteit Brussel Faculty of science; 2005.
24. Pathak J, Johnson TM, Chute CG. Survey of modular ontology techniques and their applications in the biomedical domain. In: Integrated computer-aided engineering, 16(3); 2009. p 225-242.
25. Djedidi R. Approche d'évolution d'ontologie guidée par des patrons de gestion de changement. Human-Computer Interaction. PhD thesis. Université Paris Sud - Paris XI; 2009.
26. d'Aquin M, Haase P, Rudolph S, Euzenat J, Zimmermann A, Dzbor M, Iglesias M, Jacques Y, Caracciolo C, Aranda CB, Gomez JM. D1.1.3: Neon formalisms for modularization: Syntax, semantics, algebra. Deliverable 1.1.3 of the NeOn Integrated Project; 2008.
27. Abbes H, Gargouri F. Towards ontology building and updating from Big Data. In: Advances on Decisional Systems Conference (ASD); 2014. p 61-66.