Semantic Network
Samridha M1, Akshar Chawla2, Shagnik Roy3, Neharidha M4
1Akshar Chawla*, B Tech in Computer Science and Engineering, Manipal Institute of Technology, Manipal, India.
2Shagnik Roy,B Tech in Computer Science and Engineering, Manipal Institute of Technology, Manipal, India.
3Samridha M, B Tech in Computer Science and Engineering, Manipal Institute of Technology, Manipal, India.
4Neharidha M, B.E in Electronics and Communication, NMAM Institute of Technology, Nitte, India.
Manuscript received on October 05, 2020. | Revised Manuscript received on October 10, 2020. | Manuscript published on October 30, 2020. | PP: 240-243 | Volume-10 Issue-1, October 2020. | Retrieval Number: 100.1/ijeat.A17981010120 | DOI: 10.35940/ijeat.A1798.1010120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Knowledge representation is an emerging field of research in Artificial Intelligence, Big data analytics, Semantic web, and Data Mining. Knowledge represented in an effective way helps in easy traversal, searching, reasoning, prediction, and inference. There are number of approaches, algorithms, techniques, and models that have been proposed for the same. Every approach has their own pros and cons. Hence our aim is to propose a simple and extremely effective way to represent knowledge, which has a greater expressiveness compared to logic and reverberates within the methods of people process data. In this paper we address the implementation of semantics network with simple yet powerful method, which despite the vague nature of English language, proves to give accurate results. The patterns discovered in sentences are listed in a defined order throughout the paper. The usage of Natural Language Toolkit and Posing tagging simplifies the most crucial task of tagging a word with its part of speech.
Keywords: Clauses, Natural Language Toolkit, NetworkX, Ontology, Pos tagging.