A comparison on Query-Answering System in Knowledge Graphs

Question answering over Knowledge graphs has recently emerged as an important tool to allow non-expert users for accessing the accurate answer from available data. Question-answering models are considered advanced scale systems for pro- viding concise answer to natural language questions from a huge amount of web data. Traditional information retrieval models extracts only relevant documents from the web of documents that contains a specific keyword and lacking to pro- vide a unified knowledge as a result. This method of information retrieval lacks to provide a unified knowledge.