Open AccessSemantic Network
Author(s) -
M Samridha,
A.K. Chawla,
Shagnik Roy,
M Neharidha
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1798.1010120
Subject(s) - computer science , semantics (computer science) , artificial intelligence , tree traversal , field (mathematics) , semantic web , inference , knowledge representation and reasoning , natural language understanding , simple (philosophy) , natural language processing , task (project management) , process (computing) , natural language , data science , programming language , epistemology , philosophy , mathematics , management , pure mathematics , economics
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.