November 2025
Intermediate to advanced
416 pages
10h 46m
English
book
Digital Immune System
by Sujata Priyambada Dash, Vaibhav Mishra, Bijeta Shaw, Sandeep Kumar Panda, S. Balamurugan
Content preview from Digital Immune System
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8Ontologically Structured Methods for Evaluating Semantic Textual Similarity in Security Applications
Atul Gupta, Rohit Saxena*, Vishal Nagar and Satyasundara Mahapatra
Department of Computer Science & Engineering, Pranveer Singh Institute of Technology, Kanpur, India
Abstract
In computer engineering and cognitive science, evaluating semantic textual similarity (STS) among phrases, paragraphs, and documents is crucial. Additionally, it has numerous uses in a variety of industries, including geomatics and bioinformatics. In this chapter, we analyzed the concept of semantic recognition of patterns and the utilization of the tool that is basically concerned about security domain. In this study, we give a review on several linguistic similarity techniques, as well as information on the existence of various STS-related tools and apps. For several tasks in natural language processing (NLP), including abstractive summarization, semantic features, short response grading, pattern recognition, and extracting, STS is a critical part. They categorize the conceptual similarity metrics into three main groups: knowledge-based similarity, corpus-based similarity, and string-based similarity. The techniques connected to the WordNet ontology are highlighted more. Structural approaches are crucial for deciphering the original meaning of ambiguous terms because they are exceedingly challenging for computers to analyze. We also suggest a novel outlook to gauging sentence semantic relatedness. ...
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