Domain Knowledge Representation through Multiple Sub Ontologies: An Application Interoperability
The issues that limit application interoperability is lack of common vocabulary, common structure, application domain knowledge ontology based semantic technology provides solutions that resolves application interoperability issues. Ontology is broadly used in diverse applications such as artificial intelligence, bioinformatics, biomedical, information integration, etc. Ontology can be used to interpret the knowledge of various domains. To reuse, enrich the available ontologies and reduce the duplication of ontologies of the same domain, there is a strong need to integrate the ontologies of the particular domain. The integrated ontology gives complete knowledge about the domain by sharing this comprehensive domain ontology among the groups. As per the literature survey there is no well-defined methodology to represent knowledge of a whole domain. The current research addresses a systematic methodology for knowledge representation using multiple sub-ontologies at different levels that addresses application interoperability and enables semantic information retrieval. The current method represents complete knowledge of a domain by importing concepts from multiple sub ontologies of same and relative domains that reduces ontology duplication, rework, implementation cost through ontology reusability.
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References:R. Reza, K. C. Thiam and P. L. Sai and S. A. Zeinab, “Interoperability Evaluation Models: A Systematic review”, Computers in Industry, Elsevier, Vol. 65, pp. 1-23, 2014.
 S. Saurabh, E. Miklos, M. Andre and J. Shantenu, “Understanding Application-Level Interoperability: Scaling- out MapReduce over High-Performance Grids and Clouds”, Future Generation Computer Systems, Elsevier, vol. 27, pp. 590-599, 2011.
 M. Lenzerini, “Ontology-based data management”, In Proc. of the 20th ACM international conference on Information and knowledge management (CIKM 11), ACM, pp. 5-6, 2011.
 J. Zhang, W. Zhao, G. Xie, and H. Chen, “Ontology- Based Knowledge Management System and Application”, Advanced in Control Engineering and Information Science, Elsevier, pp. 1021-1029.
 A. Uszok, L. Bunch, J. M. Bradshaw, T. Reichherzer, J. Hanna and A. Frantz, “Knowledge-Based Approaches to Information Management in Coalition Environments”, Intelligent Systems, IEEE, Vol. 28, Issue 1, pp. 34-41, 2013.
 Z. Ming-jian and T. Jun-cai, “A framework for ontology-based knowledge management”, Business Management and Electronic Information (BMEI-2011), IEEE, vol. 4, pp. 428-431, 2011.C. J. Kaufman, Rocky Mountain Research Lab., Boulder, CO, private communication, May 1995.
 T. H. Davenport and L. Prusak, “Working Knowledge: How Organizations Manage what they Know”, Harvard Business School Press, 2000.
 S. Arsovski, B. Markoski, P. Pecev, N. Petrovaki and D. Lacmanovi, “Advantages of Using an Ontological Model of the State Development Funds”, International Journal of Computers, Communications and Control, Vol. 9, No.3, pp. 261-275, 2014.
 C. Sarma, and S. Maija, “Development of a personalized e-learning model using methods of ontology”, Procedia Computer Science, Vol. 26, pp. 113-120, 2013.
 L. Lu and P. Tao, "Post-processing of Deep Web Information Extraction Based on Domain Ontology", Advances in Electrical and Computer Engineering, 2013, Vol. 13, No. 4, pp.25-32.
 P. Xia and H. Zhou, "Enabling Semantic Queries against the Spatial Database", Advances in Electrical and Computer Engineering, 2012, Vol.12, No. 1, pp. 46-50.
 Z. Chaim, “Conceptual Approaches for Defining Data, Information and Knowledge”, Journal of the American Society for Information Science and Technology, vol. 58, issue 4 , pp. 479-493, 2007.
 Z. Rehman and S. Kifor, “A Conceptual Architecture of Ontology Based KM System for Failure Mode and Effects Analysis”, International Journal of Computers, Communications and Control, Vol. 9, No.4, pp. 463-470, 2014.
 R. J. Thierauf, “Knowledge Management Systems for Business”, QUORUM Books, Westport, CT. KM2, 1999.
 Sunitha Abburu, G Suresh Babu, "A Framework for Ontology Based Knowledge Management", International Journal of Soft Computing and Engineering (IJSCE), Vol. 3, no.3, 2013, pp. 21-25.
 Z. LI and Y. Sun, “Ontology-based Knowledge Management in Intelligent Tutoring Systems", In Proc. International Conference on Management and Service Science, IEEE, pp.1-4, 2009.
 L. Haisheng, L. Wenzheng, C. Qiang, and L. Hongzhi, “A Framework of Ontology based Knowledge Management System”, In Proc. 2nd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2009), IEEE, pp. 374-377, 2009.
 R. Zhao and C. Zhang, “An Ontology Based Knowledge Management Approach for E-Learning System”, In Proc. International Conference on Management and Service Science, pp.1-4, 2009.
 N. Noy and D. L. McGuinness, "Ontology Development 101: A guide to Creating your First Ontology”, Stanford Medical Informatics, Technical Report No. SMI-2001-0880, 2000.
 M. Fernndez-Lpez, A. Gmez-Prez and N. Juristo, “Methontology: From Ontological Art towards Ontological Engineering”, In Proc. Symposium on Ontological Engineering of AAAI. Stanford University, California, Springer, pp 33-40, 1997.
 S. York and S. Rudi, “On-To-Knowledge Methodology Final Version”, EU-IST Project IST-1999-10132, 3rd September 2002.
 H. S. Pinto, S. Staab and C. Tempich, “DILIGENT: towards a fine grained methodology for distributed, loosely-controlled and evolving engineering of ontologies”, In Proc. 16th European Conference on Artificial Intelligence (ECAI 2004), Valencia, Spain., August 22-27 , pp. 393-397, 2004.
 A. De Nicola, M. Missikoff and R. Navigli, “A proposal for a Unified Process for Ontology building: UPON”, In Proc. 16th International Conference on Database and Expert Systems Applications (DEXA), Springer, pp. 655-664, 2005.
 K. Kotis, G. A. Vouros and J. P. Alonso, “HCOME: A tool-supported methodology for engineering living ontologies”, Semantic Web and Databases, Springer, pp. 155-166, 2005.
 A. De Nicola, M. Missikoff and R. Navigli, “A software engineering approach to ontology building”, Information Systems, Vol. 34, Issue 2, pp.258275, 2009.
 A. Gmez-Prez, E. Motta and M. C. Surez-Figueroa, “Introduction to the NeOn Methodology”, NeOn Project, IST-2005-027595 http://www.neon-project.org/webcontent/media/book-chapters/ chapter-01.pdf, 2005.
 B. Grigori, P. Florian, H. Jrg and O. Daniel, “Ontology Design for Information Integration in Disaster Management”, GI Jahrestagung, pp. 3120-3134, 2009.
 Y. Donghee, N. Sungchun and R. Minyoung, A Practical Military Ontology Construction for the Intelligent Army Tactical Command Information System, International Journal of Computers, Communications and Control , Vol. 9, No.1, pp. 93-100, 2014.
 A. Mathieu and F. N. Natalya, “Where to publish and find ontologies? A survey of ontology libraries”, Web Semantics: Science, Services and Agents on the World Wide Web, Elsevier, Vol. 11, pp. 96-111, 2012.
 L. Shuangyan, B. Christopher and S. Duncan, “Ontologies for Crisis Management: A Review of State of the Art in Ontology Design and Usability”, In Proc.10th International ISCRAM Conference Baden-Baden, Germany, pp.1-10, 2013.
 Protégé, (online) http://protege.stanford.edu/ (Accessed on 20th may, 2014)
 Neon Toolkit, (online) http://neon-toolkit.org/wiki/Main Page (Accessed on 20th may, 2014)
 J. R. Ernesto, C. G. Bernardo, S. Ulrike, S. Thomas, and B. Rafael, “ProSE: A Protégé plugin for Reusing Ontologies, Safe and Economique”, In Proc. 5th European Semantic Web Conference (ESWC) Tenerife Spain June 15 Springer LNCS, 2008.
 A. Gangemi, N. Guarino, C. Masolo and A. Oltramari, “Sweetening WordNet with DOLCE”, AI Magazine, Vol. 24, issue 3, pp.13-24, 2003.
 G. Aldo and M. Peter, “Understanding the Semantic Web through Descriptions and Situations”, Lecture Notes in Computer Science, Springer, Vol. 2888, pp. 689-706, 2003.