Sun’iy intelekt

Bilimlarni freymlar orqali taqdim etishning afzalliklari quyidagilardan iborat:

1. 
   Kadrlar haqidagi bilimlarni ko'rsatish tegishli ma'lumotlarni guruhlash orqali dasturlashni osonlashtiradi.
   
2. 
   Kadr tasviri nisbatan moslashuvchan va sun'iy intellektdagi ko'plab ilovalar tomonidan qo'llaniladi.
   
3. 
   Yangi atribut va munosabatlar uchun slotlarni qo'shish juda oson.
   
4. 
   Standart ma'lumotlarni kiritish va etishmayotgan qiymatlarni qidirish oson.
   
5. 
   Freym tushunchasini tushunish va tasavvur qilish oson.
   

Bilimlarni freymlar orqali taqdim etishning kamchiliklari:

1. 
   Freym tizimida xulosa chiqarish mexanizmi osonlikcha qayta ishlanmaydi.
   
2. 
   Xulosa qilish mexanizmini ramka tasviri bilan muammosiz davom ettirib bo'lmaydi.
   
3. 
   Kadrlarni tasvirlash ancha umumlashtirilgan yondashuvga ega.
   

Foydalanilgan adabiyotlar ro’yhati

1. 
   Stanley Kok and Pedro Domingos. (2008). Extracting Semantic Networks from Text via Relational Clustering. In Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases-Part I, pp. 624-639.
   

2. 
   Fritz Lehmann. (1992). Semantic Networks. Computers & Mathematics with
   

Applications. Vol.23, No. 2-5, pp. 1–50.

3. 
   Sajid Ullah Khan. (2013). Transformation of Semantic Networks into Frames.
   

International Journal of Innovation, Management and Technology, Vol. 4, No. 1, pp. 21-25.

4. 
   Pedro Patron, Emilio Miguelanez, Joel Cartwright, Yvan R. Petillot. (2008).
   

Semantic knowledge-based representation for improving situation awareness in service oriented agents of autonomous underwater vehicles. IEEE Oceans 2008, Canada, pp. 15-18.

5. 
   Huang-Chia Shih and Chung-Lin Huang. (2003). A semantic network modeling for understanding baseball video. In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP '03), pp. V - 820-3 vol.5.
   
6. 
   Stankov, S., Glavinic, V. , and Rosic, M. (2000). On Knowledge Representation in an Intelligent Tutoring System. Proceedings of IEEE International Conference on Intelligent Engineering Systems (INES 2000), pp. 381-384.
   

7. 
   Philip J. Hayes. (1977). On semantic nets, frames and associations. Proceeding of the 5th international joint conference on Artificial intelligence - Volume 1, pp. 99- 107.
   

8. 
   Robert Wilensky. (1987). Some Problems and Proposals for Knowledge Representation. Technical Reports. University of California at Berkeley, CA, USA.
   

9. 
   Philippe Martin. (2002) . Knowledge representation in RDF/XML, KIF, Frame- CG and Formalized-English. Distributed System Technology Centre, Griffith University, Australia.
   

10. 
    Sargur N. Srihari, William J. Rapaport, and Deepak Kumar. (1987). On knowledge representation on using semantic networks and Sanskrit. Technical report. State University of New York at Buffalo.
    

11. 
    James F. Allen and Alan M. Frisch. (1982). What's in a Semantic Network?