Structured, Comprehensive, Standardized
The Skills Ontology is an exhaustive resource on Skills across Functions and Industries
The Skills Ontology
The Skills Ontology (or, in simplified terms, Skills Library) forms the base backend resource for mapping the skills of people and jobs. A good analogy to illustrate this concept is a database of locations and geographical information which is at the backend (like the Skills Ontology), while a viewable map represents the front-end with which users can interact (like the Skills Profiler).
- Constantly updated
- Contextual Reference
- Universal Scale
Coverage of Skills Ontology
Skills Ontology is the first resource of its kind, and covers over 30 functions, such as Software Development, Human Resources, Accounts, Banking, Life Sciences and Mechanical Engineering to name a few. As of November 30th, 2017, there are over 50,000 unique skills in the Skills Ontology. Skills Ontology updation is a continuous process. We believe there is a long way to go to make the Ontology as rich as other databases like location database.
What makes the Skills Ontology unique?
Skills Ontology has several features such as clustering (grouping of skills in logical groups) and associations (relating group(s) to one another). These features have profound implications and utilities for the skills related functions such as recruitment and talent development.
Construct of the Skills Ontology
- Skills are clustered into logical groups. For examples – Programming Languages will include PHP, C++
- Multiple associations – A cluster of skills could be associated to more than one node in the Ontology. For example, Graphic Design tools will be associated with Web Designer as well as with Fashion Designer
- Skills are drilled down to finer details – Programming Concepts would have the different concepts under it
- Acronyms – Skills, where acronyms are also used are captured. Thus whether for searching or for matching, either the acronym or the expanded phrase could be used
- Skills are assigned properties such as rating scale for proficiency – Not all skills have similar rating scale. In some cases it could be years of experience. In some it could be expertise level
- Synonyms – Skills where different words or phrases are used for the same thing, these different words or phrases are captured so that when searching or matching of skills any of these words can be cross referenced
- Clusters of skills are associated together to form logical structure – Software Development will have for example, clusters of Programming Languages, Databases, Frameworks and Programming Concepts associated with them
- Rating of proficiency levels in skills
- Customized legends and ratings for different skills
- Prompts with related skills categories help users pay attention to areas that they may otherwise miss, helping to create a more complete profile
- Skills Clusters are tailored to functional areas, to try and address the question – what are the related skills we need to know about the person or job to better understand their profile
- The IYS Skills Ontology is maintained in server in the US
- The Plugins are optimized for both web and mobile
- The Plugins can be customized for font and color to match your application
- Secure data transfer through HTTPS
- Easy tracking of your application's API usage
Updation of Skills OntologyThe Skills Ontology updation process includes:
User Contribution with Governance
Users of the Skills Profiler can add skills of people or jobs that they feel are missing in the Skills Ontology. These additions will be vetted for relevance and also for appropriate slotting within the Skills Ontology.
Subject Matter Experts (SMEs)
Currently a team that focuses on Life Sciences is already in place. A network of SMEs in other fields will also be built to help to identify missing skills and to prvide governance on user contributed skills.
Data Mining and Machine Learning Tools
These tools help to constantly mine the web to identify possible skills that may need to be considered for inclusion in the Skills Ontology.
Limitations and Future Plans
1. The Skills Ontology is currently in English – releases in other languages are planned in 2019
2. The skills coverage needs further expansion/inclusion, particularly in certain functions which will be accomplished in 2019