REFINE SEARCH BY QUESTION ANSWERING SYSTEM BY USING KNOWLEDGE GRAPHS

Authors

  • G. Kavitha
  • Dr.V. Khanna

Keywords:

Artificial Intelligence Mark-up Language, Contextual-KNN Algorithm, Knowledge Graphs.

Abstract

A lot of and a lot of giant scale knowledge bases are available for public access. The results are based on keywords and dependent on the user‟s resident regional language. The user can obtain a suitable answer only when the user and knowledge bases are linked. The challenge is a way to identify the question intention of users and should produce satisfying answer to the user. This issue is solved by considering an Optimize knowledge graph for RDF repository with Calculated Semantic weightage using Contextual-KNN algorithm. This technique is useful to obtain answers precisely.

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Published

2020-11-28 — Updated on 2020-11-28

How to Cite

G. Kavitha, & Dr.V. Khanna. (2020). REFINE SEARCH BY QUESTION ANSWERING SYSTEM BY USING KNOWLEDGE GRAPHS. PalArch’s Journal of Archaeology of Egypt Egyptology, 17(7), 5380–5385. Retrieved from https://archives.palarch.nl/index.php/jae/article/view/2700

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