PREDICTING TECHNOLOGY CONVERGENCE BETWEEN KNOWLEDGE MANAGEMENT AND ARTIFICIAL INTELLIGENCE FIELDS

Year 2024, Issue: 60, 35 - 52, 17.01.2024

Aylin Sabancı Bayramoğlu , Serkan Dolma

https://doi.org/10.30794/pausbed.1321966

Cited By: 1

Abstract

The aim of this study is to examine the technological convergence between the fields of knowledge management and
artificial intelligence. For this purpose, patent data from 2015 to 2021 was utilized. The current relationship between these
fields was analyzed using network analysis methods. The link prediction method identified potential areas for technological
connections. The themes of the predicted technology convergence were determined using community detection and topic
modeling methods. The findings of this study indicate that methods and techniques like machine learning, neural networks,
and natural language processing are being utilized in the development of new technologies. In this context, semantic
web concepts, such as knowledge graphs and ontologies, are expected to come to the forefront in the future for better
management, interpretation, and effective utilization of knowledge. Considering these concepts, it is evident that artificial
intelligence methods and techniques could be widely applied in health for drug and treatment recommendation systems, and
in industry for the management and error prediction of hardware systems. Knowledge management and artificial intelligence
technologies can also be leveraged in developing intelligent question-answering systems and educational applications.

Keywords

Technology convergence, Network analysis, Link prediction, Topic modelling

BİLGİ YÖNETİMİ VE YAPAY ZEKÂ ALANLARI ARASINDAKİ TEKNOLOJİ YAKINSAMASININ ÖNGÖRÜLMESİ

Abstract

Bu çalışmanın amacı, bilgi yönetimi ve yapay zekâ alanları arasındaki teknoloji yakınsamasını incelemektir. Bu amaç
doğrultusunda 2015-2021 yıllarını kapsayan patent verileri kullanılmıştır. Ağ analizi yöntemiyle alanların mevcut ilişkisi analiz
edilmiştir. Bağlantı tahmin yöntemi kullanılarak alanlar arasında potansiyel olarak bağlantı oluşması beklenen teknoloji alanları
belirlenmiştir. Öngörülen teknoloji yakınsamasının temaları topluluk tespiti ve konu modelleme yöntemleri kullanılarak tespit
edilmiştir. Bu çalışmada elde edilen bulgular makine öğrenmesi, sinir ağları ve doğal dil işleme gibi yöntem ve tekniklerin yeni
teknolojilerin geliştirilmesinde kullanıldığını göstermektedir. Bu bağlamda önümüzdeki dönemde bilginin daha iyi yönetilmesi,
anlamlı hale getirilmesi ve etkili bir şekilde kullanılması için bilgi grafiği ve ontoloji gibi anlamsal web kavramları ön plana
çıkmaktadır. Bu kavramlar göz önünde bulundurulduğunda yapay zekâ yöntem ve tekniklerinin sağlık alanında ilaç ve tedavi
öneri sistemlerinde, endüstride donanımsal sistemlerin yönetilmesi ve hata öngörülmesinde yaygın olarak kullanılabileceğini
göstermektedir. Bilgi yönetimi ve yapay zekâ teknolojileri ayrıca zeki soru-cevap sistemlerinin ve eğitim uygulamalarının
geliştirilmesinde kullanılabilir.

Keywords

Teknoloji yakınsaması, Ağ analizi, Bağlantı tahmini, Konu modelleme

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