Affiliated to Visvesvaraya Technological University, Belagavi

Approved By AICTE, New Delhi

Recognized by UGC with 2(f) & 12(B) status

Accredited by NBA and NAAC

AICTE-Sponsored Short Term Training Programme (STTP) on ’Research Challenges

and Emerging Trends in Ontology and Data Science for Deep Learning’

Date of the Event 12.10.2020 to 17.10.2020

Title of the Event AICTE-Sponsored Short Term Training Programme (STTP)

on ‘Research Challenges and Emerging Trends in Ontology

and Data Science for Deep Learning’

Organized by

Jointly organized by AICTE, New Delhi, and Dept. of

Information Science and Engineering, MVJCE, Bangalore

Name of the Resource Speaker Dr. Manjaiah D H Faculty, Mangalore University

Mr. Praveen Hancinal, Founder and Team Lead,

INWHIZZ IT Innovation

Mr. Mayur Patil, Project Manager at Cloint India Pvt.

Ltd.

Dr. Sandhiya Ravi, Faculty, Coimbatore Institute of

Technology, Anna University

Dr. M Thangamani, Faculty, Kongu Engineering

College, Anna University

Dr. Ezz Eldin, Faculty, Menoufia University, Egypt

AICTE - Sponsored Short Term Training Programme

Dr. Jeevan Pinto, Faculty, Mangalore University

Mr. Sripada H Ravindranath, Senior Engineer,

Infoworks.io

Mr. Narasimha Dutta N, Co-founder of GoMaster

Technologies, Visiting Professor at BITS-Pilani and

PES University

Dr. Abdo Hasan Ali Guroob, Faculty, Sumait

University, Tanzania

Mr. Anand Gurumurthy, CEO, Cosmitude Software

Pvt. Ltd.

The Department of Information Science and Engineering organized AICTE-Sponsored

Short Term Training Programme (STTP) on ‘Research Challenges and Emerging Trends in

Ontology and Data Science for Deep Learning’, from 12th October to 17th October 2020. The

purpose of this short-term training program was to enhance the skill set and knowledge of the

faculty members, Research Scholars and Industry professionals in areas like Bigdata, Data Mining,

Machine Learning, Ontology, Artificial Intelligence and Data Science. 80 participants from

various academic institutions and industries attended the programme.

Topics of the STTP:

Data Mining using Weka and Orange

Social Network Analysis for Big Data

Ontology

Ontology and Automation

Big data Analytic

AI and Automation

Data Science – The Emerging Trend

Machine Learning for Industrial Consultancy

Big Data in Industry

Natural Language Processing for Big Data

Deep Learning – Basics and Algorithms

Research challenges in Deep Learning

The STTP was inaugurated by Dr. P Mahabaleswarappa, Principal, MVJCE, on 12th October.

On behalf of the Management and the Institution, the Principal welcomed all the participants and

Resource Speakers to the Short erm Training Programme (STTP) on ‘Research Challenges and

Emerging Trends in Ontology and Data Science for Deep Learning’. In the welcome address, he

mentioned that considering the present research interest areas, the topic of the training program is

very apt. He added that Ontology is mainly concerned with organizing data into information and

knowledge, using which we can solve various problems in our domain. He said that in recent times,

every software industry and academic institution has been speaking about IoT, Machine Learning,

Cyber Security, Data Science etc. and Ontology is well-connected to all these thrust areas.

Following the Principal’s welcome address, Dr. Manjaiah D H, Professor, Mangalore University,

delivered the keynote address. In the keynote session, Dr. Manjaiah remarked that before three to

five decades, researchers had to put in enormous effort to solve a research problem because they

lacked proper knowledge of how to analyze or process large volumes of data. But today, with the

introduction of various emerging areas like Data Science, Data mining, Bigdata, Machine Learning

etc., data analysis, categorization and processing have become much easier and more convenient.

Dr. Manjaiah inspired the participants by interacting with them on topics such as Data Science

approaches for business decisions and incorporation of Artificial Intelligence in various real time

applications.

12.10.2020 - Session 1:

Following the keynote session by Dr. Manjaiah, the training program progressed towards Session

1. The topic for this session was ‘Data Mining using Weka and Orange’ and this was handled by

Mr. Praveen Hancinal, Founder and Team Lead, INWHIZZ IT Innovation.

During this session, Mr. Praveen Hancinal explained about the following concepts:

What is data

Why data should be mined

Where data mining is applicable

How Weka tool helps in data mining

Mr. Praveen Hancinal followed this up with a demonstration of Weka and Orange tools for data

mining.

12.10.2020 - Session 2:

The topic for the afternoon session was ‘Social Network Analysis for Big Data’, by Mr. Mayur

Patil, Project Manager at Cloint India Pvt. Ltd. During this session, Mr. Mayur Patil explained the

importance of social network analysis. He demonstrated social network analysis with the help of use cases.

He elaborated on key components and different levels of measures for social network analysis. He explained

the concepts with real time examples.

13.10.2020 - Session 1:

On 13.10.2020, Dr. Sandhiya Ravi, Faculty, Coimbatore Institute of Technology, Anna University,

conducted a session on ‘Ontology'. Dr. Sandhiya Ravi started her session with a brief explanation of

Ontology background.

During this session, Dr. Sandhiya Ravi explained the following concepts:

Types of data relation

Examples of relation

Class hierarchy

Dr. Sandhiya Ravi gave a demonstration on OWL language for Ontology.

13.10.2020 - Session 2:

Session 2 on 13.10.2020 was conducted by Dr. M Thangamani, Faculty, Kongu Engineering College,

Anna University, on the topic ‘Ontology and Automation’.

During her session, the following concepts were explained:

Steps to create Ontology

Ontological structure for concept relation

Ontology data model that can be applied to a set of individual facts, to create a knowledge

graph

Ontologies for better Data Management

Dr. M Thangamani pointed out that Ontologies are now widely used in bioinformatics, and are

becoming increasingly important within the life sciences.

14.10.2020 - Session 1:

On 14.10.2020, Session 1 was on ‘Big data Analytic’, by Dr. Ezz Eldin, Faculty, Menoufia University,

Egypt.

Dr Ezz Eldin spoke about the origin of Bigdata. He explained bigdata characteristics, in terms of

size of the data. He mentioned that Bigdata is used in business to make better managerial decisions

by:

Automatic summarization of data

Extracting essence of information stored

Discovering patterns in raw data

The following concepts were dealt with by Dr. Ezz Eldin, during his session:

Steps involved in KDD Process

Data Analysis Life Cycle

DIKW Model

Evolution of the Internet

Edge analytics and Cloud analytics

Need for Virtualization

Evolution of Bigdata Process Engine

14.10.2020 - Session 2:

During Session 2 on 14.10.2020, Mr. Praveen Hancinal, Founder and Team Lead, INWHIZZ IT

Innovation, dealt with the various concepts and facts related to AI and Automation. Mr. Praveen

Hancinal started his session with a problem statement, mentioning the usefulness of Artificial

Intelligence in our daily life. He explained the key points that are related to AI.

In the latter part of his session, he elaborated on the following concepts:

Traditional Programming vs Machine Learning

How Machine Learning works

Categories of Machine Learning

Relation between IoT, Bigdata and AI

What AI deals with

Demonstration of an AI project

15.10.2020 - Session 1:

Mr. Sripada H Ravindranath, Senior Engineer, Infoworks.io delivered a lecture on ‘Machine

Learning for Industrial Consultancy’, during Session 1 of 15.10.2020. He expounded the following

concepts:

Spark MLib

Text Classification

Comparison of Training a data and Testing a data with an example ML workflow

Demonstration of Apache workflow with collaborative learning

Towards the end of his session, Mr. Sripada H Ravindranath asked the participants to work on

following assignment:

1) Install Python3 2) Install apache airflow 3) Install MySQL db 4) Manage the clustering in

apache airflow 5) Design a simple dag 6) Schedule a simple dag 7) Run a sample dag with simple

k-means python script getting executing inside the dag task 8) Schedule that dag for 10 runs in a

day 9) Evaluate the result of the k-means script in the end 10) Plot the char based on the output

received, using any open source visualization packages

15.10.2020 - Session 2:

In Session 2, Dr. Manjaiah D H, Faculty, Mangalore University, threw light on ‘Data Science – The

Emerging Trend’. He spoke about the research challenges of Data Science, relation of Data Science

and the Academia, Data Science case studies, tools and techniques.

Following the session of Dr. Manjaiah D H, more insight on Data Science was given by Dr. Jeevan

Pinto, Faculty, Mangalore University. Dr. Jeevan Pinto gave various real time example

applications of Data Science. He explained about the difference between Bigdata and Small Data,

Bigdata analytics for public service, 3 Vs of Bigdata, growth of data etc.

16.10.2020 - Session 1:

On 16.10.2020, Session 1 was conducted on ‘Big Data in Industry’, by Mr. Narasimha Dutta N,

Co-founder of GoMaster Technologies, Visiting Professor at BITS-Pilani and PES University. Mr.

Narasimha Dutta dealt with the following topics:

Bigdata Industry Objectives

MapReduce Use Cases

Timeline of Hadoop

HDFS Blocks

File Read & Write data flow

Pipeline node selection

Reverse web link graph

Yarn Application Processing

He then demonstrated MapReduce with sample data.

16.10.2020 - Session 2:

Session 2 was on ‘Natural Language Processing for Big Data’, by Mr. Mayur Patil, Project

Manager at Cloint India Pvt. Ltd. Mr. Mayur Patil took up the following topics during his session:

Natural language Toolkit

Rule Based vs Statistical NLP

Components of NLP

Python Libraries

Challenges of NLP

Application of NLP

Demonstration of NLP Tool

17.10.2020 - Session 1:

Session 1 on 17.10.2020 was on ‘Deep Learning – Basics and Algorithms’, by Dr. Abdo Hasan

Ali Guroob, Faculty, Sumait University, Tanzania. Dr. Abdo Hasan started his session by

highlighting the limitations of Machine Learning and pointed out how Deep learning comes to the

rescue. He covered the following topics during his session:

Types of Machine Learning

Applications of Deep learning

Deep Learning mechanisms

How Deep learning is related to Machine Learning

Need of Artificial Neurons, Convolutional Neural Network

Use Cases

17.10.2020 - Session 2:

The final session was on ‘Research Challenges in Deep Learning', by Mr. Anand Gurumurthy, CEO,

Cosmitude Software Pvt. Ltd.

He spoke about the research challenges faced by various organizations and explained how those

challenges are tackled with the help of Deep learning. Mr. Anand Gurumurthy mentioned that

Deep learning, the spearhead of artificial intelligence, is one of the most exciting technologies of

the decade. It has been used in various research problems such as recognizing speech, detecting

cancer etc.

The programme concluded with vote of thanks by Dr. Sanchari Saha, HOD, Dept. of ISE,

MVJCE.

At the end of the program, a test was conducted for the participants for distribution of the

certificates.

Outcome of the event:

The STTP provided inputs to the participants on various research domains which will enhance

their ability to work in interdisciplinary areas. It will boost their research ability and also enhance

their confidence to contribute in seminars / conferences / workshops, as Resource Persons.

Links for the STTP Phase-I Details in MVJCE Official Social Media:

Facebook: https://bit.ly/30JKH4P

Twitter: https://bit.ly/3lrAK3Q

LinkedIn: https://bit.ly/34CnZgc

Instagram: https://bit.ly/2Ie82oT