Öz
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.
Anahtar Kelimeler
Digital Archive Management Systems Ontology Semantic Web Intelligent Search Engines
Kaynakça
- [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).
Öz
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.
Anahtar Kelimeler
Ontoloji Sayısal Arşiv Yönetim Sistemleri Anlamsal Ağ Akıllı Arama Motorları
Kaynakça
- [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).
Ayrıntılar
| Konular | Mühendislik |
|---|---|
| Bölüm | Araştırma Makalesi |
| Yazarlar | |
| Yayımlanma Tarihi | 30 Aralık 2017 |
| Gönderilme Tarihi | 9 Nisan 2017 |
| Kabul Tarihi | 28 Temmuz 2017 |
| Yayımlandığı Sayı | Yıl 2017Cilt: 1 Sayı: 2 |
