skills ontology - a data science to enable work force management

Internet-enabled Job seekers and Job providers to interact and share their goals. However, these large amounts of job descriptions and biodata / CVs have become an enormous clutter in the communication process. A large number of disseminated data are often poorly exploited because of CVs with unstructured data. Often, management tools are purely syntactic and remain limited in front of the large mass of documents to be processed and the need for more interpretation the semantics of their content. Skills Data Science / Skills Ontology based process can solve this challenge

Skills Ontologies are schemas of data which, when instantiated in a field of knowledge, support the production of a competency profile for a profession or task, or an educational program. Their area of application is, therefore, considerable. Each skills profile is used to assess the current skills of an actor involved in the knowledge management of an organization or a digital learning environment. The same skill profile can then be associated with activities or tasks, as well as resources used in a work or learning scenario. Once this is done an algorithm for comparing the current skills and the pre-requisite can be mapped. 

Skills Ontology-based HR learning process enables the single most key goal in training - personalization of training recommendations. The result is by taking the right training programs to the right audience. This will enable profiling of skills of jobs and people in a precise manner. Skills profiles created indicates the skills and proficiency rating. 

So there will be two types of data sets available. It is employee skills profiling, and the other job skill profiling. One can identify the skills gaps of the individual to a current job. Alternately, one aspires for a job or that the organization plans for the individual. Considering the above, improving proficiencies in skills one already has and two, developing new skills that may not have, one can create a development plan for up-skilling, re-skilling and cross-skilling.  Training companies prepare programs based on the skills ontology to make the matching of the training programs to the individuals' skills profile more personalized and precise. Our society and organisations can adopt this data science in human resource development, skills development and training applications.