PREDICTING TECHNOLOGY CONVERGENCE BETWEEN KNOWLEDGE MANAGEMENT AND ARTIFICIAL INTELLIGENCE FIELDS

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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