id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-026154-9773qanf	Rezaei, Navid	Image-Based World-perceiving Knowledge Graph (WpKG) with Imprecision	2020-05-18		.txt	text/plain	3779	268	58	However, from the point of view of possible applications of semantically rich data formats in intelligent, real-world scenarios, there is a need for knowledge graphs that describe contextual information regarding realistic and casual relations between items in the real world. Processing an image means generating a scene graph representing relations between objects/entities present on this image. Possibilistic knowledge bases and graphs are important forms representing uncertainty of data and information [14] , and [15] . Compared to ConceptNet, which represents an example of a semi-automatic method of retrieving knowledge from text, our proposed approach can extract common-sense relations based on only observing visual data. Further, the generated WpKG is processed and multiple possibilistic graphs can be constructed based on it.It is shown that using deep learning models, we can extract common-sense situational information about objects present in visual data.	./cache/cord-026154-9773qanf.txt	./txt/cord-026154-9773qanf.txt