Seminar Description

Many organizations have discovered that using machine learning, natural language processing (NLP), and other graph-based analyses to address real-world business challenges can be costly, and does not always result in anticipated gains in efficiency or insight. A significant portion of the budget is required to develop training sets, which are not always reusable. It can also be difficult to understand the results.

Recent developments in standards that bridge the property graph / knowledge graph divide make it much easier to use more expressive knowledge graphs as the basis for these kinds of analytics. A number of well-known graph database vendors have implemented (or are implementing) the emerging RDF* / SPARQL* W3C recommendation to allow users to use RDF vocabularies and OWL ontologies as the basis for machine learning, NLP, and other analytics. Using richer vocabularies improves the results obtained from various analytical tools and can support explanation generation in ways that property graphs alone cannot.

In this one-day course, we will provide an overview of the ontology engineering skills needed to create richer models, particularly those geared towards machine learning and NLP applications, and share lessons learned to help users get started. 

Full-Day Seminar Price:

• $500 Early Bird Price through October 15, 2021
• $600 after October 15, 2021

Last day to register: Monday, November 8, 2021

Seminar CEUs: 6
Seminar Date: November 10, 2021
Seminar Time: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific

In this training, attendees will learn tips and best practices for:

• Ontology basics – definitions, underlying logic fundamentals
• Business requirements and use-case-driven approach
• Development methodology with a focus on terminology work and conceptual modeling
• Common, reusable modeling patterns with hands-on exercises
• Guidelines for achieving more consistent results, including naming conventions, rules of thumb
• Evaluating and reusing existing ontologies and data sets
• Querying and using ontologies in knowledge graph-based applications
• Real-world examples of successful implementations

NOTE: If the scheduled time is not convenient for your time zone and you have a group who would like to take this seminar at a time more convenient for you, please email [email protected] to coordinate a new course schedule.

Who Should Attend?

This full-day live online seminar is intended for business and IT professionals at all levels who have been tasked with understanding and implementing these types of technologies on behalf of their organization. It does assume general business knowledge, but not specific technical knowledge or experience. It is appropriate for executives, departmental and/or project managers, data and enterprise architects, consultants, data scientists, BI professionals, and technical staff. 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.

Seminar Format

• A full-day seminar 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 November 10, 2021
• Seminar time is: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific
• 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.