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Current Materials Science

Editor-in-Chief

ISSN (Print): 2666-1454
ISSN (Online): 2666-1462

Review Article

A Comprehensive Overview of Ontology: Fundamental and Research Directions

Author(s): Archana Patel* and Narayan C. Debnath

Volume 17, Issue 1, 2024

Published on: 20 October, 2022

Page: [2 - 20] Pages: 19

DOI: 10.2174/2666145415666220914114301

Price: $65

Abstract

Knowledge representation and reasoning is a field of ‘Artificial Intelligence’ that encodes knowledge, beliefs, actions, feelings, goals, desires, preferences, and all other mental states in the machine. An ontology is prominently used to represent knowledge and offers the richest machine-interpretable (rather than just machine-processable) and explicit semantics. Ontology does not only provide sharable and reusable knowledge, but it also provides a common understanding of the knowledge; as a result, the interoperability and interconnectedness of the model make it priceless for addressing the issues of querying data. Ontology work with concepts and relations that are very close to the working of the human brain. Ontological engineering provides the methods and methodologies for the development of ontology. Nowadays, ontologies are used in almost every field, and a lot of much research is being done on this topic. The paper aims to elaborate on the need of ontology (from data to knowledge), how does for ontology (from data to knowledge), how semantics come from logic, the ontological engineering field, history from hypertext to linked data, and further possible research directions of the ontology. This paper benefit reader who wishes to embark on ontology-based research and application development.

Keywords: Ontology, Semantic, Logic, OWL, Knowledge, Linked data

Graphical Abstract

[1]
Jain S, Murugesan S. Smart connected world: A broader perspective. In: Smart Connected World. Cham: Springer 2021; pp. 3-23.
[http://dx.doi.org/10.1007/978-3-030-76387-9_1]
[2]
Brachman RJ, Levesque HJ, Reiter R. Introduction to the special volume on knowledge representation. Artif Intell 1991; 49(1-3): 1-3.
[http://dx.doi.org/10.1016/0004-3702(91)90003-3]
[3]
Martinez-Cruz C, Blanco IJ, Vila MA. Ontologies versus relational databases: Are they so different? A comparison. Artif Intell Rev 2012; 38(4): 271-90.
[http://dx.doi.org/10.1007/s10462-011-9251-9]
[4]
Data models. Available from: https://en.wikipedia.org/wiki/Data
[5]
Kim W. Introduction to object-oriented databases. Cambridge: MIT Press 1990.
[6]
Ozsu MT, Valduriez P. Distributed database systems: Where are we now? Computer 1991; 24(8): 68-78.
[http://dx.doi.org/10.1109/2.84879]
[7]
Marcus S, Subrahmanian VS. Foundations of multimedia database systems. J Assoc Comput Mach 1996; 43(3): 474-523.
[http://dx.doi.org/10.1145/233551.233554]
[8]
Berson A, Smith SJ. Data warehousing, data mining, and OLAP. McGraw-Hill, Inc. 1997.
[9]
Strauch C, Sites ULS, Kriha W. NoSQL databases. In: Lecture Notes. Stuttgart Media University 2011; p. 20.
[10]
Rashid PQ. Semantic network and frame knowledge representation formalisms in artificial intelligence 2015.
[11]
Kalibatiene D, Vasilecas O. Berlin, Heidelberg: Springer 2011; pp. Survey on ontology languages. In: International Conference on Business Informatics Research. 124-41.
[12]
Pavliˇc. Entropy-and ontology based E-services proposing approach. In: 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing. Berlin, Heidelberg: Springer 2013; pp. 409-20.
[13]
Patel A, Debnath NC. Development of the InBan_CIDO ontology by reusing the concepts along with detecting overlapping infor-mation. In: Inventive Computation and Information Technologies. Singapore: Springer 2022; pp. 349-59.
[http://dx.doi.org/10.1007/978-981-16-6723-7_26]
[14]
Debnath NC, Patel A. Ontology evaluation tools: Current and future research. Rec Adv Comp Sci Commun 2022; 15.
[http://dx.doi.org/10.2174/2666255815666220411081837]
[15]
Kotis KI, Vouros GA, Spiliotopoulos D. Ontology engineering methodologies for the evolution of living and reused ontologies: Status, trends, findings and recommendations. Knowl Eng Rev 2020; 35: e4.
[http://dx.doi.org/10.1017/S0269888920000065]
[16]
Aminu E F, Oyefolahan I O, Abdullahi M B, Salaudeen M T. A review on ontology development methodologies for developing onto-logical knowledge representation systems for various domains 2020.
[17]
Sattar A, Salwana E, Nazir M, Ahmad M, Kamil A. Comparative analysis of methodologies for domain ontology development: A sys-tematic review. Int J Adv Comput Sci Appl 2020; 11(5)
[http://dx.doi.org/10.14569/IJACSA.2020.0110515]
[18]
Yang L, Cormican K, Yu M. Ontology-based systems engineering: A state-of-the-art review. Comput Ind 2019; 111: 148-71.
[http://dx.doi.org/10.1016/j.compind.2019.05.003]
[19]
Law NLLMF, Mahmoud AM, Tang AYC, et al. A review of ontology development aspects. Int J Adv Comput Sci Appl 2019; 10(7): 290-8.
[http://dx.doi.org/10.14569/IJACSA.2019.0100740]
[20]
Sanfilippo EM, Borgo S. What are features? An ontology-based review of the literature. Comput Aided Des 2016; 80: 9-18.
[http://dx.doi.org/10.1016/j.cad.2016.07.001]
[21]
Iqbal R, Murad MAA, Mustapha A, Sharef NM. An analysis of ontology engineering methodologies: A literature review. Res J Appl Sci Eng Technol 2013; 6(16): 2993-3000.
[http://dx.doi.org/10.19026/rjaset.6.3684]
[22]
Gokhale P, Deokattey S, Bhanumurthy K. Ontology development methods. DESIDOC J Libr Inf Technol 2011; 31(2): 77-83.
[http://dx.doi.org/10.14429/djlit.31.2.860]
[23]
Subhashini R, Akilandeswari J. A survey on ontology construction methodologies. Int J Enterprise Comp Bus Sys 2011; 1(1): 60-72.
[24]
Jaziri W, Gargouri F. Ontology theory, management and design: An overview and future directions. Ontology theory, management and design: Advanced tools and models 2010; 27-77.
[25]
Lima JF, Amaral CMG, Molinaro LFR. Ontology: An analysis of the literature. In: International Conference on ENTERprise Information Systems. Berlin, Heidelberg: Springer 2010; pp. 426-35.
[26]
Maniraj V, Sivakumar R. Ontology languages-a review. Int J Comp Theory Eng 2010; 2(6): 887-91.
[http://dx.doi.org/10.7763/IJCTE.2010.V2.257]
[27]
Cristani M, Cuel R. A survey on ontology creation methodologies. Int J Semantic Web Inf Syst 2005; 1(2): 49-69.
[http://dx.doi.org/10.4018/jswis.2005040103]
[28]
Ding Y, Foo S. Ontology research and development. part 2-a review of ontology mapping and evolving. J Inf Sci 2002; 28(5): 375-88.
[29]
Noy NF, Hafner CD. The state of the art in ontology design: A survey and comparative review. AI Mag 1997; 18(3): 53-3.
[30]
Fitting M. First-order logic and automated theorem proving. Springer Science & Business Media 2012.
[31]
Devedzić V. Understanding ontological engineering. Commun ACM 2002; 45(4): 136-44.
[http://dx.doi.org/10.1145/505248.506002]
[32]
Sharif AM. Knowledge representation within information systems in manufacturing environments 2004.
[33]
Patel A, Debnath NC, Mishra AK, Jain S. Covid19-IBO: A Covid-19 impact on Indian banking ontology along with an efficient schema matching approach. New Gener Comput 2021; 39(3-4): 647-76.
[http://dx.doi.org/10.1007/s00354-021-00136-0] [PMID: 34667368]
[34]
Kalyanpur A, Golbeck J, Banerjee J, Hendler J. Owl: Capturing semantic information using a standardized web ontology language. Multiling Comp Technol Mag 2004; 15(7)
[35]
McGuinness D L, Van Harmelen F. OWL web ontology language overview. W3C recommendation 2004; 10: 10.
[36]
Fortineau V, Paviot T, Lamouri S. Improving the interoperability of industrial information systems with description logic-based mod-els—The state of the art. Comput Ind 2013; 64(4): 363-75.
[http://dx.doi.org/10.1016/j.compind.2013.01.001]
[37]
Patel A, Sharma A, Jain S. An intelligent resource manager over terrorism knowledge base. Rec Adv Comp Sci Commun 2020; 13(3): 394-405.
[38]
Biebow B, Szulman S, Clément AJ. TERMINAE: A linguistics- based tool for the building of a domain ontology. In: International Conference on Knowledge Engineering and Knowledge Management. Berlin, Heidelberg: Springer 1999; pp. 49-66.
[http://dx.doi.org/10.1007/3-540-48775-1_4]
[39]
Khondoker MR, Mueller P. Comparing ontology development tools based on an online survey. In: World Congress on Engineering. London, UK: WCE 2010 2010.
[40]
Patel A, Jain S. Ontology versioning framework for representing ontological concept as knowledge unit. In: Workshop Proceedings CEUR, Ed. CEUR-WS. 2021; Vol. 2786.
[41]
Patel A, Debnath NC, Shukla PKA. SecureOnt: A security ontology for establishing data provenance in semantic web. J Web Eng 2022.
[http://dx.doi.org/10.13052/jwe1540-9589.21415]
[42]
Fernández-López M, Gómez-Pérez A. Overview and analysis of methodologies for building ontologies. Knowl Eng Rev 2002; 17(2): 129-56.
[http://dx.doi.org/10.1017/S0269888902000462]
[43]
Degbelo A. A snapshot of ontology evaluation criteria and strategies. Proceedings of the 13th International Conference on Semantic Systems. 1-8.
[http://dx.doi.org/10.1145/3132218.3132219]
[44]
Raad J, Cruz C. A survey on ontology evaluation methods. Proceedings of the International Conference on Knowledge Engineering and Ontology Development, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management.
[45]
Nardi D, Brachman RJ. An introduction to description logics. In: Description logic handbook. 2003; 1: p. 40.
[47]
Gerber A, Merwe AVD, Barnard A. A functional semantic web architecture. In: European Semantic Web Conference. Berlin, Heidelberg: Springer 2008; pp. 273-87.
[48]
Patel A, Jain S. Formalisms of representing knowledge. Procedia Comput Sci 2018; 125: 542-9.
[http://dx.doi.org/10.1016/j.procs.2017.12.070]
[49]
Rattanasawad T, Saikaew KR, Buranarach M, Supnithi T. A review and comparison of rule languages and rule-based inference engines for the Semantic Web. 2013 International Computer Science and Engineering Conference (ICSEC). 1-6.
[http://dx.doi.org/10.1109/ICSEC.2013.6694743]
[50]
Hitzler P, Kr¨otzsch M, Parsia B, Patel-Schneider P F, Rudolph S. OWL 2 web ontology language primer. W3C recommendation 2009; 27(1): 123.
[51]
Köhler S, Bauer S, Mungall CJ, et al. Improving ontologies by automatic reasoning and evaluation of logical definitions. BMC Bioinformatics 2011; 12(1): 418.
[http://dx.doi.org/10.1186/1471-2105-12-418] [PMID: 22032770]
[52]
Khamparia A, Pandey B. Comprehensive analysis of semantic web reasoners and tools: A survey. Educ Inf Technol 2017; 22(6): 3121-45.
[http://dx.doi.org/10.1007/s10639-017-9574-5]
[53]
Debellis M, Neches R. Knowledge representation and the semantic web: An historical overview of influences on emerging tools. Rec Adv Comp Sci Commun 2022.
[54]
Horrocks I, Patel-Schneider PF. Knowledge representation and reasoning on the semantic web: Owl. In: Handbook of semantic web technologies. 2011; pp. 365-98.
[55]
Zangeneh P, McCabe B. Ontology-based knowledge representation for industrial megaprojects analytics using linked data and the se-mantic web. Adv Eng Inform 2020; 46: 101164.
[http://dx.doi.org/10.1016/j.aei.2020.101164]
[56]
Krötzsch M. Description logic rules. IOS Press 2010; p. 8.
[57]
Horrocks I, Patel-Schneider P F, McGuinness D L, Welty C A. OWL: A description logic based ontology language for the semantic web 2007.
[http://dx.doi.org/10.1017/CBO9780511711787.016]

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