Abstract
Knowledge graphs are developed to extend and organize the Web of data application. It helps to store the data in structured form and also present the entities and their relations explicitly. An entity is considered as a knowledge graph unit such as a person, movie, and city or else that need to describe. All entities of knowledge graphs are presented with their attributes like name, age, nationality, birthdates, etc., and further connected with other entities during the construction of knowledge graph. Knowledge graph construction approaches and techniques play an important role to develop the knowledge graphs. This paper initially presents the study of some existing knowledge graphs like YAGO, DBPedia, ConceptNet, FrameNet, etc., and also focused on knowledge graph construction approaches and techniques. There are 21 knowledge graphs are analysed and presented at one place with their applications.
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Tiwari, S., Gaurav, D., Srivastava, A., Rai, C., Abhishek, K. (2021). A Preliminary Study of Knowledge Graphs and Their Construction. In: Tavares, J.M.R.S., Chakrabarti, S., Bhattacharya, A., Ghatak, S. (eds) Emerging Technologies in Data Mining and Information Security. Lecture Notes in Networks and Systems, vol 164. Springer, Singapore. https://doi.org/10.1007/978-981-15-9774-9_2
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