ISIC 2021
International Semantic Intelligence Conference 2021

Table of Contents

• Front Matter 1-13
  
  
  Summary : ISIC 2021 has attracted 4 top-shot researchers as advisory. The conference committee has taken due care in finalizing the three keynote speakers and the eight invited speakers for the conference. They are diversified across the whole world and are eminent experts in their field. The conference has also tied up with 14 special sessions with overall 34 chairs. There are 21 members as chairs in the main conference organization and approximately 200 technical program committee members from various countries all around the world. ISIC 2021 showcases one workshop and three tutorials. The conference depicts a high geographic diversity with members from around 40 different countries and high gender diversity with more than 35% women in its organization.
                ISIC 2021 is Hybrid (Face-to-face and Online) in mode. Though the COVID-19 pandemic hits this initiative to some extent, we have brought out a quality proceeding. The review and selection process has ensured that only high quality manuscripts in the area of the conference are accepted for final publication. We are glad to share that we received a total number of 110 submissions in the main conference. There were 15 desk rejections by the editors. Rest 95 were passed to reviewers. We invited reviewers to bid for submissions. We have managed to get three to six reviews for each submission; with each reviewer getting a maximum of four submissions to review. All reviews are from internationally renowned experts. 55 papers were accepted and finally 47 papers are published in the proceedings. The accepted submissions are spread across 17 different countries with not more than 2-3 papers from any same organization.

Keynote Speakers

• Ontology based Machine Learning in Semantic Audio Applications - Abstract 14-15
  George Fazekas (Queen Mary University of London)
• Semantic Hybrid Multi-Model Multi-Platform (SHM3P) Databases 16-26
  Sven Groppe (University of Lübeck, Germany)
• Real Application of Machine Learning (REALM): Situation Knowledge on Demand (SKOD); - Abstract27-28
  Bharat Bhargava (Purdue University, Indiana, United States)

Invited Talks

• Data management in Connected environments - Abstract 29-30
  Richard Chbeir (Universite de Pau et des Pays de l'Adour, Anglet, France)
• Legitimate Open-ended Dissemination of Personal Information 31-43
  Jayati Deshmukh, Srinath Srinivasa (International Institute of Information Technology, Bangalore, India)
• Theory Building with Big Data-Driven Research – An Editorial Perspective - Abstract 44-46
  Arpan Kumar Kar (Department of Management Studies, IIT Delhi, India)
• Semantic Web End-User Tasks 47-59
  Roberto García (University in Lleida, Spain)
• Privacy-Preserving Data Sharing and Adaptable Service Compositions in Mission-Critical Clouds 60-66
  Bharat Bhargava (Purdue University, West Lafayette, IN, USA), Rohit Ranchal (Middle East Technical University, Ankara, Turkey), Pelin Angin (IBM Cloud Lab, Austin, TX, USA)
• Securing Intelligent Autonomous Systems Through Artificial Intelligence 67-71
  Ganpathi Mani, Bharat Bhargava (Purdue University, West Lafayette, Indiana, USA), Jason Kobes, Justin King, James MacDonald (Northrop Grumman Corporation, McLean, Virginia, USA)
• Semantic Enablement for Integrated Sensor Web and Spatial Data Infrastructure: Location Intelligence from Sensors (LISENS) - Abstract 72-72
  Devanjan Bhattacharya (School of Law and School of Informatics, University of Edinburgh, United Kingdom)
• Novelty Detection and Adaptation: A Domain Agnostic Approach 73-77
  Marina Haliem, Vaneet Aggarwal, Bharat Bhargava (Purdue University, West Lafayette, IN, USA)

Workshops And Tutorials

• Workshop on Novelties in Open World - Abstract 78-78
  Bharat Bhargava
• Exploration of Text–Object Relationships with Semantic Web (with special reference to Arabic language) - Abstract 79-80
  Sree Ganesh Thottempudi
• Integrating Blockchain Technology with IoT - Abstract 81-82
  Roshan Singh, Pranav Kumar Singh
• Validating RDF Data using Shapes - Abstract 83-84
  Jose Emilio Labra Gayo

The Research Track
The Research Track incorporates papers that present novel work contributing significantly to the advancement of Artificial Intelligence.

• Semantic Ontology-Based Approach to Enhance Text Classification 85-98
  Sonika Malik, Sarika Jain
• RandomForest Enabled Collaborative COVID-19 Product Manufacturing/Fabrications 99-113
  Shajulin Benedict
• Ontology Versioning Framework for Representing Ontological Concept as Knowledge Unit 114-121
  Archana Patel, Sarika Jain
• Semantic Analysis of Sentiments through Web-Mined Twitter Corpus 122-135
  Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Siddharth Swarup Rautaray, Manjusha Pandey, Sachi Nandan Mohanty
• Analysis of Global Word Representations for Depression Detection 136-148
  Niveditha Sekar, S Chandrakala, G Prakash

The Trends and Perspectives Track
The Trends and Perspectives Track explores the state of the art in the mentioned disciplines.

• Knowledge Representation for Algorithmic Auditing to Detangle Systemic Bias 149-157
  Paola Di Maio
• ECC-Based Three-Factor Authentication Scheme For Multi-Server Environment 158-163
  Rahul Kumar, Mridul K. Gupta, Saru Kuamri
• An Ontology-based Sentiment Analysis Model towards Classification of Drug Reviews164-171
  Sridevi. U.K, Shanthi. P
• An Algorithmic Representation of the Syntax Diagram of a Computer Programming Language172-179
  Anichebe Gregory Emeka
• Weed Species Identification in Different Crops Using Precision Weed Management: A Review180-194
  Anand Muni Mishra, Vinay Gautam
• Medical Query Expansion using Semantic Sources DBpedia and Wikidata 195-201
  Sarah Dahir, Jalil ElHassouni, Abderrahim El Qadi, Hamid Bennis
• Analytics and Storage of Big Data 202-210
  Shubham Upadhyay, Rakesh Manwani, Saksham Varshney, Sarika Jain
• CKD-Tree: An Improved KD-Tree Construction Algorithm 211-218
  Y Narasimhulu, Ashok Suthar, Raghunadh Pasunuri, V China Venkaiah
• Detection of COVID-19 Using the CT Scan Image of Lungs 219-227
  Ankita Bansal, Gaurav Thakur, Devang Verma
• Analysis of hospital reviews through sentiment analysis: An approach to aid patients in the times of COVID-19 pandemic 228-236
  Ankita Bansal, Manoj Maurya, Niranjan Kumar, Siddharth Tomar
• Deep Learning for Terrain Surface Classification: Vibration-based Approach 237-243
  Marcos Concon, W. K. Wong, Filbert H. Juwono, Catur Apriono
• AI Teaching and Learning KR, Neuro Symbolism and Reliability Notable Interlinked Gaps 244-249
  Paola Di Maio
• Analyzing the Punjabi Language Stemmers: A Critical Approach 250-258
  Harjit Singh
• Indian Classical Raga Identification using Machine Learning 259-263
  Dipti Joshi, Jyoti Pareek, Pushkar Ambatkar
• Sentimental Analysis – A Survey of Some Existing Studies 264-279
  Prabakaran Thangavel, Ravi Lourduswamy
• Soft Computing based Clustering Protocols in IoT for Precision and Smart Agriculture: A Survey280-295
  Vatan, Sandip Kumar Goyal
• IISWS: Integrative Intelligent System for a Multi-Domain Diversified Semantic Search296-303
  Gerard Deepak, Santhanavijayan A
• Efficient Reasoner Performance Prediction using Multi-label learning 304-313
  Ashwin Makwana
• Comparative analysis of two artificial intelligence based decision level fusion models for heart disease prediction 314-322
  Hafsa Binte Kibria, Abdul Matin, Sanzida Islam
• Human Activity Recognition Using Pose Estimation and Machine Learning Algorithm323-330
  Abhay Gupta, Kuldeep Gupta, Kshama Gupta, Kapil Gupta
• Residential Electricity Demand Prediction using Machine Learning 331-340
  Manpreet Kaur, Shalini Panwar, Ayush Joshi, Kapil Gupta
• ACCOS: A Hybrid Anomaly-Aware Cloud Computing Formulation-Based Ontology Services in Clouds341-346
  Ashish Tiwari, Ritu Garg
• A method of knowledgebase curation using RDF Knowledge Graph and SPARQL for a knowledge-based clinical decision support system 347-359
  Xavierlal J Mattam, Ravi Lourdusamy
• Analysis of Semantic and Non-Semantic crawlers 360-367
  Shridevi s, Shashwat Sanket, Jayraj Thakor, Dhivya M
• Impact of Covid-19 Outbreak on Performance of Indian Banking Sector 368-375
  Ambrish Kumar Mishra, Archana Patel, Sarika Jain
• Exploring the Effects of Different Embedding Algorithms and Neural Architectures on Early Detection of Alzheimer’s Disease 376-383
  Minni Jain, Rishabh Doshi, Vibhu Sehra, Divyashikha Sethia
• Rice Plant Infection Recognition using Deep Neural Network Systems 384-393
  Shivam, Surya Pratap Singh, Indrajeet Kumar
• Incorporating Distinct Translation System Outputs into Statistical and Transformer Model394-401
  Mani Bansal, D.K.Lobiyal
• A Systematic Review on the Identification and Diagnosis of Clinical Characteristics of COVID-19 Patients 402-414
  Poonam Phogat, Rajat Chaudhary
• CURE: An Effective COVID-19 Remedies based on Machine Learning Prediction Models415-424
  Poonam Phogat, Rajat Chaudhary
• Identification of Plants using Deep learning: A Review 425-435
  Rakibul Sk, Ankita Wadhawan
• Trust Sensitive Dual Cluster Head Based Routing Scheme to Isolate Misbehaving Nodes in MANET436-444
  Aruna Subramanian, Subramani Appavupillai
• Detection of Bipolar Disorder Using Machine Learning with MRI 445-452
  R Sujatha, K Tejesh, H Krithi, H Rasiga Shri
• Pragmatic Analysis of Classification Techniques based on Hyperparameter Tuning for Sentiment Analysis453-459
  Charu Gupta, Prateek Agrawal, Rohan Ahuja, Kunal Vats, Chirag Pahuja, Tanuj Ahuja
• Recognition of Facial Expression using Landmark Detection in Deep Learning Model460-466
  Palak Girdhar, Vishu Madaan, Tanuj Ahuja, Shubham Rawat
• AI based management of Food Wastage 467-475
  Lakshit Sama, Aaisha Makkar, Polemoni Prokshitha, Devansh Dhaloria, Bhav Kirti Sharma

The Applications and Deployment Track
The Applications and Deployment Track incorporates papers showcasing the latest advancements and applications of Artificial Intelligence.

• Conceptual Framework Guided Legal Case Perspectives for Strategic Case Planning476-485
  Krati Saxena, Sagar Sunkle, Vinay Kulkarni
• Bharathi –An Applied Semantic Intelligence Use Case for Public Data in India 486-498
  Asha Subramanian, Manikanta Vikkurthi, Gunjan Pattnayak, Akshay K S, Harika Vikkurthi
• Information Labelling of Medical Forum Posts by Non-Clinical Text Information Retrieval499-510
  Amit Kumar Kushwaha, Arpan Kumar Kar
• OBD - II based Intelligent Vehicular Diagnostic System using IoT 511-515
  Siddhanta Kumar Singh, Ajay Kumar Singh, Anand Sharma
• Automatic Information Extraction and Inferencing System from Online News Sources for Substance Abuse Cases516-520
  Judith George Joseph, Jestin Joy, Sreeraj M, Sanjay Govind, Shijas Muhammed T P, Tibi Sunni
• CoronaGo Website Integrated with Chatbot for COVID-19 Tracking 521-527
  Anil K. Pandey, R. R. Janghel, R. Sujatha, S. Sathish Kumar, T. Sangeeth Kumar, Jyotir Moy Chatterjee