Year 2017, Volume 1 , Issue 2, Pages 85 - 109 2017-12-30

Arşiv Yönetim Sistemleri için Ontoloji Bilgi Tabanı Geliştirilmesi
Development of Ontology Knowledgebase for Archive Management Systems

Mehmet ERTUGRUL [1] , Ali Gunes [2]


Sayısal Arşiv Yönetim Sistemleri (SAYS), Vakıflar Genel Müdürlükleri idaresinde bulunan milyonlarca adet sayısal belgenin, elektronik ortamda yönetilmesi ve diğer kurumlar ile paylaşılmasına olanak sağlayan en önemli yazılım araçlarıdır. Bu tür sistemlerde en önemli işlev, belge arama olup; amacı, kurum işleyişi ve düzeni için aranan ilgili bir belgeyi/belgeleri doğru ve hızlı bir şekilde bulmaktır. Vakıflarda verilen hizmetin gereği, SAYS yazılımlarından milyonlarca belge içinden istenilen bir belgenin en kısa zamanda etkin bir üslupla aranması ve kullanıcıya en kısa zamanda sunması beklenir. Bu nedenle, ülkemizde Vakıflar Genel Müdürlükleri bünyesinde kullanılan mevcut SAYS sistemlerinin, yapay zekâ yaklaşımlarıyla yükseltilmesine ihtiyaç duyulmaktadır. Bu çalışmada, sayısal arşivleri yönetmek için Vakıflar Genel Müdürlükleri tarafından kullanılan mevcut SAYS için ontoloji tabanlı belge arama modülü önerilmiştir. Bu modül, SAYS’ne entegre olabilecek, ek bir arama modülü ya da bir ağ servisi gibi arka planda çalışabilecektir. Önerilen sistemin iki temel çıktısı bulunmaktadır; Arşiv Yönetim Sistemi Ontolojisi (AYSO) bilgi tabanı ve semantik tabanlı belge arama motoru yazılımıdır. Fakat sistemin oldukça geniş olmasından dolayı, bu makalede sistemin sadece Arşiv Yönetim Sistemi Ontolojisi (AYSO) olan anlamsal bilgi tabanının geliştirilmesi süreçlerinden ve sistemin genel çalışma prensibinden bahsedilmiştir.

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.

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Subjects Engineering
Published Date December 2017
Journal Section Research Article
Authors

Author: Mehmet ERTUGRUL
Institution: Istanbul Aydin University, Engineering Faculty, Department of Computer Engineering
Country: Turkey


Author: Ali Gunes
Institution: Istanbul Aydin University, Engineering Faculty, Department of Computer Engineering
Country: Turkey


Dates

Application Date : April 9, 2017
Acceptance Date : July 28, 2017
Publication Date : December 30, 2017

Bibtex @research article { asujse305026, journal = {Aksaray University Journal of Science and Engineering}, issn = {}, eissn = {2587-1277}, address = {Aksaray Üniversitesi, Fen Bilimleri Enstitüsü, Merkez Kampüs, 68100 Aksaray}, publisher = {Aksaray University}, year = {2017}, volume = {1}, pages = {85 - 109}, doi = {10.29002/asujse.305026}, title = {Development of Ontology Knowledgebase for Archive Management Systems}, key = {cite}, author = {Ertugrul, Mehmet and Gunes, Ali} }
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 . DOI: 10.29002/asujse.305026
MLA Ertugrul, M , Gunes, A . "Development of Ontology Knowledgebase for Archive Management Systems" . Aksaray University Journal of Science and Engineering 1 (2017 ): 85-109 <http://asujse.aksaray.edu.tr/en/pub/issue/29955/305026>
Chicago Ertugrul, M , Gunes, A . "Development of Ontology Knowledgebase for Archive Management Systems". Aksaray University Journal of Science and Engineering 1 (2017 ): 85-109
RIS TY - JOUR T1 - Development of Ontology Knowledgebase for Archive Management Systems AU - Mehmet Ertugrul , Ali Gunes Y1 - 2017 PY - 2017 N1 - doi: 10.29002/asujse.305026 DO - 10.29002/asujse.305026 T2 - Aksaray University Journal of Science and Engineering JF - Journal JO - JOR SP - 85 EP - 109 VL - 1 IS - 2 SN - -2587-1277 M3 - doi: 10.29002/asujse.305026 UR - https://doi.org/10.29002/asujse.305026 Y2 - 2017 ER -
EndNote %0 Aksaray University Journal of Science and Engineering Development of Ontology Knowledgebase for Archive Management Systems %A Mehmet Ertugrul , Ali Gunes %T Development of Ontology Knowledgebase for Archive Management Systems %D 2017 %J Aksaray University Journal of Science and Engineering %P -2587-1277 %V 1 %N 2 %R doi: 10.29002/asujse.305026 %U 10.29002/asujse.305026
ISNAD Ertugrul, Mehmet , Gunes, Ali . "Development of Ontology Knowledgebase for Archive Management Systems". Aksaray University Journal of Science and Engineering 1 / 2 (December 2017): 85-109 . https://doi.org/10.29002/asujse.305026
AMA Ertugrul M , Gunes A . Development of Ontology Knowledgebase for Archive Management Systems. Aksaray J. Sci. Eng.. 2017; 1(2): 85-109.
Vancouver Ertugrul M , Gunes A . Development of Ontology Knowledgebase for Archive Management Systems. Aksaray University Journal of Science and Engineering. 2017; 1(2): 85-109.