Development of Ontology Knowledgebase for Archive Management Systems

Mehmet Ertugrul; Ali Gunes

doi:10.29002/asujse.305026

EN TR

Development of Ontology Knowledgebase for Archive Management Systems

Abstract

Digital Archive Management Systems (DAYS) is the most important software tools that provide to manage the millions of digital documents in the administration of the General Directorate of Foundations in electronic environment and share with other institutions. The most important operation in such systems is document search; the aim of it is able to find the required document(s) correctly and quickly for the processes of the institutional functioning and organization. In accordance with the services provided by the foundations, it is expected that DAYS software will search a desired document from millions of documents in the shortest possible time and present it to the user as soon as possible. For this reason, there is a need to enhance the existing DAYS systems used in the General Directorate of Foundations in our country with artificial intelligence approaches. In this study, an ontology-based document search module is proposed for the existing DAYS used by the General Directorate of Foundations to manage their digital archives. The module can work in the backplane, like an additional background module or a Web service, integrated into the DAYS. The proposed system has two basic outputs; Archive Management System Ontology (AYSO) knowledge base and a semantic-based document search engine. However, since the system is quite wide, the article has only mentioned the development of a semantic information base, which is the Archive Management System Ontology and the working principle of the system general.

Keywords

Digital Archive Management Systems,Ontology,Semantic Web,Intelligent Search Engines

References

[1] O. Menemencioğlu, İ. M. Orak, Semantik Web Arama Motoru Üzerine Bir İnceleme. ISITES 2014: 2nd International Sym. On Innovative Technologies in Engineering and Science, (2014) Karabuk, Turkey. Accessed February 2016.
[2] D. E. Rose, D. Levinson, Understanding user goals in Web search. 13th international conference on World Wide Web, New York, (2004) 13-19.
[3] M. Levene, An introduction to search engines and Web navigation. John Wiley & Sons, (2011).
[4] M. d’Aquin, L. Ding, E. Motta, Semantic Web Search Engines. In Handbook of Semantic Web Technologies, Springer, (2011) 659-700.
[5] G. Madhu, D.A. Govardhan, D.T. Rajinikanth, Intelligent Semantic Web Search Engines: A Brief Survey. arXiv preprint arXiv:1102.0831, (2011).
[6] T. O’reilly, What Is Web 2.0. (2005).
[7] T. Berners-Lee, J. Hendler, O. Lassila, The semantic web. Scientific American 284.5, (2001) 28-37.
[8] T. Gruber, Ontology. Encyclopedia of Database Systems (Springer-Verlag). Liu, Ling; Özsu, M. Tamer, eds. ISBN 978-0-387-49616-0, http://tomgruber.org/writing/ontology-definition-2007.htm, (2008).

[9] B. Chandrasekaran, J. R. Josephson, V. R. Benjamins, What are ontologies, and why do we need them?. IEEE Intelligent Systems and their applications 14.1, (1999) 20-26.
[10] The MUNIN Project-An overview. MUNIN Final Event, Hamburg, Germany, Dipl.-Wirtsch.-Ing. University MUNIN Project Coordinator:Hans-Christoph Burmeister, (2015).
[11] E. Ahonen, E. Hyvonen, Publishing historical texts on the semantic web-a case study. In: Semantic Computing, ICSC'09. IEEE International Conference on, IEEE, (2009) 167-173, IEEE. DOI: 10.1109/ICSC.2009.9
[12] E. Hyvonen, K.Viljanen, J. Tuominen, K. Seppälä, Building a national semantic web ontology and ontology service infrastructure–the FinnONTO approach. In: European Semantic Web Conference. Springer Berlin Heidelberg, (2008) 95-109.
[13] O. Lassila, R.S. Ralph, Resource Description Framework (RDF). Model and Syntax. W3C Recommendation, https://www.w3.org/TR/WD-rdf-syntax-971002/, Version 1, February (1997), Accessed April 2017.
[14] G. Adorni, M. Maratea, L. Pandolfo, L. Pulina, An ontology for historical research documents. In: International Conference on Web Reasoning and Rule Systems, Springer International Publishing, (2015) 11-18. DOI: 10.1007/978-3-319-22002-4 2.
[15] B. Arslan, İçişleri Bakanlığı Nufus ve Vatandaşlık İdaresi Dijital Arşiv Projesi (NVİ DAP). http://www.erkyazilim.com.tr/blog/konu/projeler. Accessed April 2017.
[16] S. Nešić, Semantic document model to enhance data and knowledge interoperability. In: Web 2.0 & Semantic Web. Springer US, (2010) 135-160.
[17] OWL, Web Ontology Language Overview., W3C Recommendation, Deborah L. McGuinness, Frank van Harmelen, Stanford University, Online: https://www.w3.org/TR/owl-features/, (2004) Accessed February 2016.
[18] Protégé OWL Ontology Editor. Protégé 4. 1 tool website, Stanford University. http://protege.stanford.edu/. Accessed 30 Jan 2016.
[19] OWL 2.0, OWL 2 Web Ontology Language Document Overview. W3C Recommendation, Online: http://www.w3.org/TR/owl2-overview/, 11 December 2012, Accessed February 2016.
[20] Netbeans Java Framework, https://netbeans.org/downloads/8.0/, Accessed April 2017.
[21] M. Horridge, S.Bechhofer, The OWL API: a Java API for working with OWL 2 ontologies. Proceedings of the 6th International Conference on OWL: Experiences and Directions-Volume 529. CEUR-WS. org, (2009).
[22] SWRL, A Semantic Web Rule Language Combining OWL and RuleML, W3C Member Submission 21 May 2004. Accessed February 2016.
[23] E. Sirin, B. Parsia, B.C. Grau, A. Kalyanpur, Y. Katz, PELLET: A practical owl-dl reasoner. Web Semantics: science, services and agents on the World Wide Web, (5) (2007) 51-53.
[24] W.E. Winkler, The state of record linkage and current research problems. Technical report, U.S. Census Bureau, (1999).
[25] W.E. Winkler, Y. Thibaudeau, An application of the Fellegi-Sunter model of record linkage to the 1990 U.S. decennial census. Technical report, U.S. Bureau of the Census, Washington, D.C., Statistical Research Report Series RR91/09, (1991).
[26] R. Shearer, B. Motik, I. Horrocks, Hermit: A highly-efficient OWL reasoner. In: OWLED, (432) (2008).

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Mehmet Ertugrul
Istanbul Aydin University, Engineering Faculty, Department of Computer Engineering
Türkiye

Ali Gunes
Istanbul Aydin University, Engineering Faculty, Department of Computer Engineering
Türkiye

Publication Date

December 30, 2017

Submission Date

April 9, 2017

Acceptance Date

July 28, 2017

Published in Issue

Year 1970 Volume: 1 Number: 2

DOI

https://doi.org/10.29002/asujse.305026

IZ

https://izlik.org/JA88ML65UC

Cite

RIS / Bibtex

APA

Ertugrul, M., & Gunes, A. (2017). Development of Ontology Knowledgebase for Archive Management Systems. Aksaray University Journal of Science and Engineering, 1(2), 85-109. https://doi.org/10.29002/asujse.305026