A novel approach that combines NLP and semantic web techniques to generate a knowledge graph from textual data that impact on industry 5.0

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Ronak Panchal

VBTMCA, India

: J Comput Eng Inf Technol

Abstract

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Knowledge bases gather their information from free text on web pages, databases, and audio and video content. A subject-objectpredicate (SOP) knowledge graph is a type of knowledge graph that represents relationships between entities using a triple of subject, object, and predicate. Constructing an SOP knowledge graph from text involves identifying the subject, object, and predicate in a sentence and representing them in a graph data structure. Semantic reasoning can be applied to the SOP knowledge graph to infer new relationships and properties between entities. SOP knowledge graphs are useful for various applications such as information retrieval, question answering, and knowledge representation. The ability to automatically construct SOP knowledge graphs from text is an important area of research in natural language processing and artificial intelligence. Researcher is implementing this research paper towards Industry 5.0 with certain steps like Text Analyses using StanfordOpenIE, generate Triples in CSV file and Create Graph Visualization (GraphViz tool), Convert CSV to RDF using Tarql tool and RDF Visualization in RDF playground. The main purpose of the research paper it that AI and the semantic web could play critical roles in achieving the vision of Industry 5.0 by enabling more intelligent, adaptive, and context-aware industrial systems. Keywords: Ontology, RDF, SPARQL, Tarql, Knowledge Graph, NLP, Industry 5.0. Recent Publications: 1. A Review On Protection Against Fileless Malware Attacks Using Gateway DOI: https://doi.org/10.17762/turcomat. v12i10.5620 2. question answering over Indian Missiles Knowledge Graph DOIhttps://doi.org/10.1007/s00500-021-06233-y 3. AISHE-Onto: A Semantic Model for Public Higher Education Universities https://doi.org/10.1145/3463677.3463750 4. Execution of SPARQL Query using Apache Jena Fuseki Server in AISHE domain http://ir.paruluniversity.ac.in:8080/ xmlui/handle/123456789/7483 5. A Novel Approach: Semantic Web Enabled Subject Searching for Union Catalogue DOIhttps://doi.org/10.1007/978-3- 031-34222-6_15

Biography

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Ronak Panchal, is a seasoned professional in the field of data science and IT project management. Currently, He hold the position of Senior Data Scientist and IT Project Manager at Cognizant, a leading multinational IT company located in Pune. His extensive backgroun includes prior roles as an Assistant Professor and Trainer, where he specialized in Computer Science and Information & Communication Technology (ICT). With over 12.2 years of experience, he have garnered valuable expertise in various areas. One of his primary strengths lies in database management, encompassing both SQL and NoSQL technologies. Additionally, he possess deep knowledge in cuttingedge fields such as Sematic Web, Knowledge Graph, Ontology/RDF/SPARQL, Data Science (Machine Learning, Deep Learning, NLP), and Cloud technologies (AWS/GCP/Azure). To further enhance my skill set, I have earned certifications in Snowflake, Neo4j, AWS Database Specialist, and GCP Cloud Associate Engineer. These certifications validate his proficiency in respective technologies and platforms. Throughout his 3.6+ years of experience in the IT industry, He have consistently delivered impactful results and contributed to the success of diverse projects. His passion for innovation, coupled with a strong analytical abilities, enables me to drive meaningful insights and optimize business outcomes. He take pride in his ability to adapt to dynamic environments and collaborate effectively with cross-functional teams. With a relentless pursuit of excellence, he dedicated to staying at the forefront of emerging technologies and industry trends. In conclusion, his comprehensive skill set, vast experience, and commitment to professional growth make him a valuable asset to any organization seeking expertise in data science, IT project management, and database technologies.