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Knowledge Graph Representation Challenges
Representing knowledge in non-traditional ways, like fuzzy vector space, poses challenges as it becomes complex to define connections between nodes and attributes. The practical implementation of knowledge graphs is difficult due to the need to finalize attributes which may not always match the diverse and complex nature of real-world entities. For instance, defining attributes like gender for humans can be complicated when considering gender diversity in living beings. The complexity of the real world makes it challenging to design and maintain knowledge graphs, leading many to avoid using them.