Özetleme Mekanizması Kullanılarak Bilgi Çizgesine Yeni Eklentiler

Yıl 2023, , 312 - 321, 30.09.2023

Savaş Takan

https://doi.org/10.7240/jeps.1244034

Öz

Bilginin doğasına ilişkin, onu şekillendiren çok çeşitli unsurlar bulunmaktadır. Örneğin güvenirlik, tutarlılık, değişmezlik ve bağlam gibi mekanizmalar bunların başında gelir. Ancak söz konusu mekanizmaların bilgi çizgesinde temsil edilmesi oldukça yaygın bir problemdir. Çalışmamızda bu problemin çözümüne katkıda bulunmak amacıyla, bilginin karmaşık doğasına ilişkin güven, tutarlılık, değişmezlik ve bağlam gibi temel mekanizmalar, hashing teknolojisi kullanılarak bilgi çizgesine entegre edilmiştir. Çalışmamızda bu eklentiler, bilgi çizgesinden ayrı tutularak, yapıların işlevselliklerinin bozulmaması sağlanmıştır. Geliştirdiğimiz eklentiler sayesinde bir bilgi değiştiğinde onu etkileyen tüm bilgilerin otomatik güncellenmesi, belirsizlik, bilgiler arasında sıralama yapılamaması, bazı bilgilerin değişmez olarak tutulamaması ve bilgiler arasında hızlı bir karşılaştırmanın yapılamaması gibi yaygın bilgi çizgesi problemleri, örnek senaryolar üzerinden test edilerek çözüme kavuşturulmuştur. Çalışmamızın, bilgi çizgesinin iyileştirilmesine yönelik literatüre ve bilgi çizgesini kullanan yapay zeka yazılımlarının geliştirilmesine katkı sunması beklenmektedir.

Anahtar Kelimeler

Bilgi çizgesi, hashing, yapay zeka, yazılım mühendisliği, bilgi temsili

Destekleyen Kurum

Destekleyen kurum bulunmamaktadır.

Novel Extensions to the Knowledge Graph Using the Hashing Mechanism

Öz

There are various elements related to the nature of knowledge that shape it. For example, mechanisms such as reliability, consistency, invariance and context are among the main ones. However, representing these mechanisms in the knowledge graph is a common problem. In our work, in order to contribute to the solution of this problem, basic mechanisms related to the complex nature of information such as trust, consistency, immutability and context are integrated into the knowledge graph using hashing technology. In our work, these plugins are kept separate from the knowledge graph so that the functionality of the structures is not impaired. Thanks to the plugins we developed, common knowledge graph problems such as automatic updating of all the information that affects a piece of information when it changes, ambiguity, inability to sort information, inability to keep some information immutable, and inability to make a quick comparison between information are tested and solved through example scenarios. Our work is expected to contribute to the literature on knowledge graph improvement and to the development of artificial intelligence software that utilizes knowledge graphs.

Anahtar Kelimeler

Bilgi çizgesi, hashing, yapay zeka, yazılım mühendisliği, bilgi temsili

Kaynakça

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