Sanju Mishra Tiwari

Autonomous University of Tamaulipas | UAT · Faculty of Engineering and Sciences

Several initiatives have been undertaken to conceptually model the domain of scholarly data using ontologies and to create respective Knowledge Graphs. Yet, the full potential seems unleashed, as automated means for automatic population of said ontologies are lacking, and respective initiatives from the Semantic Web community are not necessarily co...

Several initiatives have been undertaken to conceptually model the domain of scholarly data using ontologies and to create respective Knowledge Graphs. Yet, the full potential seems unleashed, as automated means for automatic population of said ontologies are lacking, and respective initiatives from the Semantic Web community are not necessarily co...

This survey investigates the synergistic relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's capabilities in understanding, reasoning, and language processing. It aims to address gaps in current research by exploring areas such as KG Question Answering, ontology generation, KG validation...

The confluence of Artificial Intelligence of Things (AIoT) and Semantic Web technologies is nothing short of revolutionary. The profound impact of this synergy extends far beyond the realms of industry, research, and society; it shapes the very fabric of our future. Semantic Web Technologies and Applications in Artificial Intelligence of Things is...

Artificial Intelligence (AI) is a term used frequently nowadays, and its impact on different areas is getting higher. AI is expected to affect positively sustainability and its effects on the achievement of sustainable development goals (SDGs). However, to date, there are very few published studies systematically assessing the extent to which AI mi...

Call for papers 2024 EGETC

A persistent challenge infects the vast setting of academic pursuits; the enduring gender gap in science, technology, engineering, and mathematics (STEM). Despite incremental progress, women continue to face formidable obstacles, ranging from entrenched stereotypes to institutional oversights. The urgency of addressing this issue cannot be overstat...

This book constitutes the refereed conference proceedings of the 6th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2023, held in Lübeck, Germany, during November 9–10, 2023. The 17 full papers and 2 short papers presented in this book were carefully reviewed and selected from 76 submissions. The main conference AML...

The aim of the proposed publication is to analyze the current landscape and to identify the roles and challenges of introducing cognitive computing techniques into the ubiquitous implementation of smart healthcare innovation. The health domain is characterized by many different types and variations of data, such as drug doses and molecular structur...

The Semantic Internet of Things (SIoT) is an Internet of Things (IoT) extension that uses semantic technologies to improve interoperability and understanding of data generated by connected devices. The SIoT can help in smart health by providing a common language and framework for exchanging and integrating health-related data from various sources....

Stress recognition is the process of identifying and assessing an individual's physiological and psychological responses to stressors, which has significant implications for human well-being. Artificial intelligence plays a pivotal role in stress diagnosis by leveraging advanced algorithms to analyse complex physiological data and uncover subtle st...

In the rapidly evolving landscape of Industry 4.0, the transformation of manufacturing processes is driven by the seamless integration and intelligent utilization of data. The concept of semantic interoperability is central to this paradigm evolution, as it holds the key to unleashing unparalleled efficiency, productivity, and innovation. It enable...

Currently climate change poses a significant challenge to us, both now and as we head into the future. Several individuals endeavour to adopt more sustainable lifestyles, ensuring that our daily choices do not have adverse impact on our planet. Under the umbrella of sustainability, food stands out as an area of specific emphasis, specifically regar...

This book constitutes the proceedings of the First International Conference, AI4S 2023, held in Pune, India, during September 4-5, 2023. The 14 full papers and the 2 short papers included in this volume were carefully reviewed and selected from 72 submissions. This volume aims to open discussion on trustworthy AI and related topics, trying to brin...

A blog post at Google on 16 May 2012 with the title "Introducing the Knowledge Graph: things, not strings" represented one of the first references concerning the current definition of Knowledge Graphs. On the other hand, the article by Krisztian Balog et al. "Personal Knowledge Graphs: A Research Agenda" represented one of the very first references...

Artificial Intelligence (AI) is receiving significant attention in various domains, such as precision medicine, mental healthcare, manufacturing, education, finance, and many others. Most applications in these domains are concerned with the classification or language generation tasks, wherein confidence in the outcome is measured through traditiona...

Since the development of the semantic web, knowledge graphs (KGs) have been used by search engines, knowledge-engines and question-answering services as well as social networks. A knowledge graph, also known as a semantic network, represents and illustrates a network of real-world entities such as objects, events, situations, or concepts and the re...

As Industry 4.0 continues to transform the current manufacturing scene, seamless integration and intelligent data use have emerged as important aspects for increasing efficiency, productivity, and creativity. Semantic interoperability, a critical notion in this disruptive era, enables machines, systems, and humans to comprehend and interpret data f...

This book constitutes the refereed proceedings of the 5th Iberoamerican Conference and 4th Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2023, held jointly in Zaragoza, Spain, during November 13–15, 2023. The 18 full and 2 short papers presented were carefully reviewed and selected from 50 submissions. They focus on the foll...

This book constitutes the refereed proceedings of the Second International Conference on Electronic Governance with Emerging Technologies, EGETC 2023, held in Poznan, Poland, during September 11–12, 2023. The 15 full papers and one short paper presented were thoroughly reviewed and selected from the 76 submissions. This volume focuses on the recen...

The International Workshop of Innovation and Smart Government 2023 is an international scientific workshop dedicated to the investigation of innovation and smart government through the application of information technologies. The workshop will take place on september 12 2023 in Hybrid mode. Important Dates Paper submission deadline (extended): Ju...

Emerging Technologies and Digital Transformation in the Manufacturing Industry offers a comprehensive solution to the pressing challenges faced by the manufacturing industry. As manufacturers grapple with the need to adapt to changing customer expectations and embrace emerging technologies, this book provides a timely and relevant resource. Edited...

We are pleased to share that The International Workshop on “Artificial Intelligence: Empowering Sustainable Development (AISD-2023)” collocated with “First International Conference on Artificial Intelligence: Towards Sustainable Intelligence”- AI4S conference is being organised at Symbiosis Institute of Technology, Symbiosis International, Pune. Th...

A scientific paper can be divided into two major constructs which are Metadata and Full-body text. Metadata provides a brief overview of the paper while the Full-body text contains key-insights that can be valuable to fellow researchers. To retrieve metadata and key-insights from scientific papers, knowledge acquisition is a central activity. It co...

The recent advances in large language models (LLM) and foundation models with emergent capabilities have been shown to improve the performance of many NLP tasks. LLMs and Knowledge Graphs (KG) can complement each other such that LLMs can be used for KG construction or completion while existing KGs can be used for different tasks such as making LLM...

Generally Telangana dialect is frequently spoken in vocal daily interactions. Official Telugu is the language used in books, newspapers, academic journals, and other types of literature. Telangana only produces a small quantity of literature and written material in documentary series form. Despite numerous attempts, the Telangana language’s range i...

Since the onset of Covid-19 there has been a tremendous number of research to help deal better with the disease. This has produced a huge pile of data. The produced data might be contrary to each other and it is a tough task finding a specific data among the huge landscape of available data sources. Also answering a question that requires relating...

Climate change is one of the biggest issues we face, besides Covid [6], we head into the future. Many strive to live more sustainably so that the choices made in our daily lives don’t adversely impact our planet. Food is one area of sustainability that is focused on, especially the impact of what we eat and how we can make choices that do not negat...

AMedical conditions require proper attention as some of them especially those occurring in women that are expecting pregnancy require proper care. Although pregnancy exposes them to several critical health conditions, most of these conditions were actually in existence before pregnancy with their causes traced back to poor nutrition resulting from...

This book constitutes the refereed proceedings of the 5th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2022, held in Reynosa, Tamaulipas, Mexico, during December 22–23, 2022. The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in...

The Covid-19 pandemic is a universal problem that has caused significant outbreaks in every country and region, affecting men and women of all ages around the world. The automatic detection of lung infection is a major challenge that poses a limitation to the potential medical imaging offers to augment patient treatments and strategies for tackling...

Knowledge graphs can represent information about the real-world using entities and their relations in a structured and semantically rich manner and they enable a variety of downstream applications such as question-answering, recommendation systems, semantic search, and advanced analytics. However, at the moment, building a knowledge graph involves...

International Conference on Sustainbility

During the COVID-19 pandemic, researchers started to develop technical approaches to solve the numerous challenges imposed by the new pandemic. One fundamental precondition for research is to make relevant data about the COVID-19 pandemic available in a machine-processable way. For this purpose, COVID-19 ontologies and knowledge graphs have been de...

Mobile technologies play a transcendental role in the development of organizations. The banking industry has become the world's economic engine, and when combined, they seek to generate a competitive advantage and attract more users. For this reason, this research aims to determine the influence of users' trust in their satisfaction when they use e...

The objective of this research is to determine the critical success factors of a tax collector website in a country with an emerging economy. In the method, a questionnaire is applied to 488 taxpayers in Northeastern Mexico, and factor analysis is a statistical tool. The results show that the top five success factors are citizen satisfaction, servi...

The chapter addressed what smartphones, mobile applications, programming languages, and mobile operating systems are. The development, implementation, and results obtained from mobile applications in the following areas are discussed in detail: educational platforms, citizen participation with the government, teaching the pronunciation of the Engli...

Mental health diseases such as depression, anxiety, and heart-related disorders are a big concern in today's life. As a result, it is now crucial to monitor stress levels. Here, we propose and suggest a deep learning hybrid approach convolution neural network-long short-term memory (CNN-LSTM) model that can recognize stress. Electrocardiogram (ECG)...

Despite the Telangana, the dialect is frequently spoken in vocal daily interactions. Official Telugu is the language used in books, newspapers, academic journals, and other types of literature. By incorporating Telangana slang into their writings, poetry, and dissertations, just a few local Telangana authors have worked to preserve the dialect. As...

Mental health is of utmost importance in present times as mental health problems can have a negative impact on an individual. Stress recognition is an important part of the digital healthcare system as stress may act as a catalyst and lead to mental health problems or further amplify them. With the advancement of technology, the presence of smart w...

This book constitutes selected and revised papers presented at the First International Conference on Electronic Governance with Emerging Technologies, EGETC 2022, held in Tampico, Mexico, in September 2022. The 15 full papers and 2 short papers presented were thoroughly reviewed and selected from the 54 submissions. This volume focuses on the rec...

This book constitutes the proceedings of the 4th Iberoamerican Conference and third Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2022, which took place in Madrid, Spain, in November 2022. The 22 full and 3 short research papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers cov...

This book is a guide to the combination of the Internet of Things (IoT) and the Semantic Web, covering a variety of tools, technologies and applications that serve the myriad needs of the researchers in this field. It provides a multi dimensional view of the concepts, tools, techniques and issues that are involved in the development of semantics fo...

The Knowledge Graph and Semantic Web Conference is an international scientific conference series devoted to knowledge graph and semantic web research. Due to the COVID-19 pandemic, this edition of the conference will be hybrid.

A key focus in recent years has been on sustainable development and promoting environmentally conscious practices. In today’s rapidly evolving technological world, it is important to consider how technology can be applied to solve problems across disciplines and fields in these areas. Further study is needed in order to understand how technology ca...

Today, the popularity of semantic models and ontologies is increasing rapidly. This leads not only to the high number of general ontologies, but also to a variety of domain-specific ontologies where the medical or healthcare domain plays a major role. The increasing popularity of ontologies, particularly in different non-IT domains, has an impact o...

The electronic government is a new application field for the Semantic Web, and the ontologies play a key role in the development of the Semantic Web. Consequently, if we focus on the law and the public policy that base the governments and build a documentation ontology that encompasses the electronic governments' needs of services at the front-offi...

There are three basic needs for human living: food, home, and clothes. As a result, food plays a critical part in human life. In today's world, every field achieves some level of accomplishment. We should take food as per our body needs. In recent times, many dangerous diseases have taken place in the human body. During this time, awareness of our...

!!!!!!!!!!!!Call for Book Chapters in Semantic Artificial Intelligence in Knowledge Graphs !!!!!!!!!!!!!!!! Are you planning to write a chapter on Semantic AI in Knowledge Graphs? We are inviting you to submit a proposal before the deadline by given links: Submission Links: https://lnkd.in/djXKna4Q Website Link: https://lnkd.in/d_s9Sz58 Please fee...

Healthcare is a sensitive domain for human beings and needs extra care to monitor patients and elderly people. Massive exploitation of associated devices is the primary source for collecting health data during the monitoring of patients. All connected devices such as sensors, actuators, and RFIDs produce challenging data simultaneously and sometime...

Title: Semantic Artificial Intelligence in Knowledge Graphs

Machine learning (ML) and artificial intelligence (AI) approaches are prominent and well established in the field of health-care informatics. Because they have a more productive ability to predict, they are successfully applied in several health-care applications. ML approaches are needed thanks to the unsatisfactory experience of the novel virus,...

Natural language, being unstructured, makes the tedious task for building a model to parse it into a query language successfully. An incorrect query for a particular question would lead to an absurd answer. As seen in many semantic parsing approaches, the inaccurate answering of complex questions increases significantly. This leads to many novel ef...

The availability of clinical and natural information is present in large abundance. To handle or study the large quantity of drugs for development and testing, manual power has a large effort as well as a large amount of time is being consumed. So, the extra effort and consumption of a large amount of time in the study of the development of drugs s...

Automatic extraction of background knowledge of news articles, published over the web is a complex task and less explored by knowledge-mining researchers. Suppose there is no source of background or related information available on editorial, in this case, the reader needs to search it, which is a time-consuming process of manually going over possi...

A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions of people. The studies that apply artificial intelligence (AI) and machine learning (ML) methods for various purposes against the COVID-19 outbreak have increased because of their significant advantages. Although AI/ML applications provide satisfactory solutions to COV...

Ontologies are considered as a cornerstone for knowledge-based systems and semantic web for reusing and sharing the knowledge by explicit specification of shared conceptualizations. For representing and organizing knowledge, ontology needs a conceptual model to express the real-world objects. The conceptual model explores a series of entities, rela...

Recently, the amount of research in the field of self-driving cars has grown significantly with autonomous vehicles having clocked in more than 10 million miles, providing a substantial amount of data for use in training and testing. The most complex part of training is the use of computer vision for feature extraction and object detection in real-...

The health care industry is facing a lot of challenges like demand for high-quality services, competition among health care providers, need for collaboration among various health care service providers and organizations. Due to these challenges, health care providers are adopting innovative IoT-based semantic web technologies to build new health ca...

Advances in data mining and machine learning methods for classification and regression open the door of identifying complex patterns from domain sensitive data. In biomedical applications, massive amounts of clinical data are generated and collected to predict diseases. Diagnosis of diseases, such as diabetes and liver diseases, needs more tests th...

We are ready to take submissions for KGSWC-2021. As we had successfully published KGSWC-2020 Proceedings, all events(Conference, WinterSchool, Hackathon, Workshops) of KGSWC-2020 were initiated with zero fees to make this conference special in Semantic Web Community. All accepted papers of KGSWC-2020 had been registered with zero fees due to epidem...

With the extensive growth of data that has been joined with the thriving development of the Internet in this century, finding or getting valuable information and knowledge from these huge noisy data became harder. The Concept of Knowledge Graph (KG) is one of the concepts that has come into the public view as a result of this development. In additi...

This book highlights recent research on soft computing, pattern recognition and biologically inspired computing. It presents 24 selected papers from the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) and 5 papers from the 11th World Congress on Nature and Biologically Inspired Computing (NaBIC 2019), held at V...

Information integration is great for military operations because the range of pertinent information sources is significantly distinct and dynamic. This article develops an intelligent knowledge treasure comprised of military resource ontology and procedures, as a learning model for better interoperability of heterogeneous resources of the Indian mi...

This book constitutes the thoroughly refereed proceedings of the Third Iberoamerican Conference, KGSWC 2021, held in Kingsville, Texas, USA, in November 2021.* The 22 full and 2 short papers presented were carefully reviewed and selected from 85 submissions. The papers cover topics related to software and its engineering, information systems, soft...

In the time of web, Memes have become probably the sultriest subject on the web and apparently, the most widely recognized sort of satire seen via web-based networking media stages these days. Memes are visual outlines consolidated along with content which for the most part pass on amusing importance. Individuals use images to communicate via web-b...

In today’s fast-paced world where patients may need to be remotely monitored while they are away or out of hospitals, there is a need for mobile applications that can gather the biometric and biomedical signals from any number of devices and sensors, collecting biometric or biomedical data from a patient. This work presents the improvement of a cir...

Call for Chapters 1. Foundations of Deep Learning and Its Applications to Health Informatics 2. Deep Learning in Bio-Medical Applications 3. Challenges in Applying Deep Learning in Bio-Medical and Health Care Applications. 4. Biomedical Data And Transfer Learning 5. Deep Learning for Handling The COVID-19 Situation 6. Predicting Epidemic Outbreak...

Purpose Health-care ontologies and their terminologies play a vital role in knowledge representation and data integration for health information. In health-care systems, Internet of Technology (IoT) technologies provide data exchange among various entities and ontologies offer a formal description to present the knowledge of health-care domains. Th...