Ontology engineering is the practice of creating explicit, formalized representations of knowledge that capture the meaning of concepts and their relationships within a specific domain. In this live, online, two-day seminar, instructor Panos Alexopoulos explores the key principles, methodologies, and tools for building ontologies, equipping participants with the skills to create semantic descriptions of data that are accurate, understandable, and shareable by both humans and machines. 

Throughout the course, participants will explore the main challenges of ontology development, such as dealing with the inherent ambiguity, vagueness, and complexity of human language and thought. Through real-world examples and hands-on exercises, they will learn how to specify, implement, and evolve ontologies that are scalable and aligned with the needs of both small and large data systems. Additionally, the course will provide practical strategies for navigating common pitfalls and resolving dilemmas encountered in the ontology development process. 

By the end of the seminar, participants will have a comprehensive understanding of ontology engineering and its applications. They will be equipped with the knowledge and tools to create robust ontologies that enhance data interoperability and support advanced data technologies such as analytics and AI.  

Two-Day Seminar Price: 

• $1,000 Early Bird Price through November 1, 2024 
• $1,200 after November 1, 2024 

Last day to register: Monday, November 18, 2024 

Seminar CEUs: 9 
Seminar Date: Wednesday - Thursday, November 20-21, 2024 
Seminar Time: 8 AM – 1 PM, Pacific Time / 11 AM – 4 PM, Eastern Time 

By the end of this live, online, two-day course, you will: 

• Understand the fundamental concepts, phenomena, and processes related to ontology engineering and development. 
• Be aware of the quirks and challenges of ontology development and learn how to effectively leverage available frameworks and tools. 
• Know how to avoid mistakes and bad practices that can undermine your efforts to create robust ontologies. 
• Know what actions to take to address dilemmas encountered during ontology development. 
• Know how to organize and execute ontology initiatives within your organization, addressing technical, strategic, and organizational challenges. 
• Learn how to build ontologies through real-world examples and hands-on experience. 

Who Should Attend? 

This seminar is ideal for professionals in fields such as data science, information management, data architecture, data modeling, and software engineering who are looking to deepen their expertise in semantic technologies. This course is intended for data modelers, knowledge engineers, data architects, and other professionals involved in data management and artificial intelligence. While prior experience in data modeling is helpful, it is not a prerequisite, since the course will cover these technologies in a way that no prior understanding is necessary. 

It assumes general business knowledge, but not specific technical knowledge or experience. The course is not designed for any specific business domain, and as such is applicable to any business function that is in need of more reliable information, such as finance, manufacturing, human resources, analytics, operations, and more. 

Group and team attendance is strongly encouraged because the workshop activities can be applied for your organization’s unique ontology circumstances. Those activities produce results that have immediate application and lasting value for your ongoing ontology, analytics, data modeling, and AI efforts. 

We offer several bulk licensing options for corporate and group use. 

Contact us for a follow-up discussion! 

Seminar Format 

• A two-day workshop that includes lecture format over slides with questions either throughout or at the conclusion of each section, breakout sessions, and exercises. 
  • The seminar date is: Wednesday - Thursday, November 20 -21, 2024 
  • Seminar time is: 8 AM – 1 PM, Pacific Time / 11 AM – 4 PM, Eastern Time 
• All seminar material will be made available for students to download. 
• DATAVERSITY will be integrating two platforms to run the training: The DATAVERSITY Training Center (DVTC) platform and Zoom. 
• The DVTC Platform is where you will start your training: https://training.dataversity.net 
  • This will be where you will log in, and then click a “Join Now” button on the day of the live training in your course dashboard. 
  • This platform will contain the syllabus for the day, information on navigating through both platforms, enable you to take notes throughout the training, join a forum with your classroom peers to network with each other even after the live online training is over, download materials, and access the recording of the training when it is complete. 
• When you click the “Join Now” button in the DVTC Platform, a Zoom window will open. 
  • This platform is where you will take the training, view the presentation, and engage in breakout sessions.