Introduction to Ontology Engineering
Ontology is essentially the study of things, how they relate to other things, and what those things are called.
Ontologist makes research, examine, classify, and explain the kinds and structures of objects. It provides a basis for building models of all things in which computer science is interested. Ontology engineering aims at providing standard components for building knowledge models. It allows the reuse of knowledge in a knowledge base by providing conceptualization, reflecting assumptions and requirements made in the problem solving using the knowledge base. Ontology engineering provides the means to build and use ontologies for building models. Ontologies play a similar role to design rationale in mechanical design.
The Training Type for Ontology Engineers?
The training type for ontology engineers could either be Online or Offline (Hybrid).
Average training duration for Ontology Engineers
Ontology is a branch of philosophy and the average training duration of certification is 4 years bachelor’s degree.
Qualification required to become an Ontology Engineer
Bachelor’s degree/HND(Higher National Diploma).
Secondary school department for Ontology Engineering
Arts.
Tertiary fields for Ontology Engineering
Philosophy (Ontology or Ontological Engineering.
Common career paths in Ontology Engineering
Most ontology engineers started as database designers. However, an ontologist generally needs to have a much broader set of skills, because the world of data is far more complex today. Set of skills which include;
- Being able to use data visualization tools effectively.
- Understand data governance and data curation, and be able to argue the benefits of unidirectional vs bidirectional data flows.
- Being able to work with network graphs, and know the distinction between labelled directional and non-directional graphs (both acyclic and cyclic).
- Being able to write SQL in various variants, distinguish between DML and DDL, know the distinguishing characteristics of inner, outer, and cross joins, understand the various normal forms, and be able to talk knowledgeably about the advantages of normalized vs. denormalized forms.
Professional grades in Ontology Engineering
Ontology does not have a typical professional grade. However, its relation to data science could make us say the professional grades are thus; Junior, Senior, and Principal.
What is the average certification for Ontology Engineers?
The average duration at each profession stage in Ontology Engineering is a minimum of 4 years.
What is the average salary of Ontology Engineers?
In the United States, the average salary of a professional Ontology engineer is $76,000 – $114,000 per year.
Work type for Ontology Engineers?
Ontology Engineers could either work Online or Offline(Hybrid).
Work shift for Ontology Engineers
Ontology Engineers work from the range of 9 am to 5 pm on average each day.
How many hours do Ontology Engineers spend at work?
The average daily hour ontology engineers spend at work is 9 hours.
Occupational hazards in Ontology Engineering
The common occupational hazards in Ontology include;
- Bad classification and examination of data.
- A poor reflection of data.
- Inadequate visualization of data.
These are possible hazards an Ontology engineer may face and the effect could be lost to inappropriate data modelling.
Gender distribution in Ontology Engineering
No gender distribution in Ontology engineering as the profession accommodates both males and females.
Talents suitable for Ontology Engineers?
For a successful career journey, Ontology Engineers must be able to;
- Communicate effectively in writing and in person.
- Must be resilient in logical concepts.
What is the retirement age for Ontology Engineers?
The average retirement age for Ontology engineers is 60 years to 65 years of age.
How relevant are Ontology Engineers in other countries?
The relevance of an Ontology engineer spreads across all countries in the world as far as data and information are concerned.
What other fields are related to Ontology Engineering?
- Data Science
- Computer Science
- Information System
Branches Of Ontology Engineering
Objectivism and subjectivism. (Object, Kind, Mode, and Attribute).
Reference;
- http://www.wikipedia.org
- http://www.springerlink.com
- ‘Why most companies need an Ontology’ by Kurt Cagle. (Linkedin post)
