20240020618. SYSTEM AND METHOD FOR SKILLS ONTOLOGY simplified abstract (ServiceNow, Inc.)
Contents
SYSTEM AND METHOD FOR SKILLS ONTOLOGY
Organization Name
Inventor(s)
Manjeet Singh of Hyderabad (IN)
Eric E. Schroeder of La Jolla CA (US)
Jonathan Richard Crane of San Diego CA (US)
SYSTEM AND METHOD FOR SKILLS ONTOLOGY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240020618 titled 'SYSTEM AND METHOD FOR SKILLS ONTOLOGY
Simplified Explanation
The abstract of the patent application describes a skills ontology that defines the skills possessed by employees in an enterprise. The ontology includes data classes and uses natural language understanding (NLU) techniques to process utterances and extract intents and entities. The ontology can be updated with new skill records and employee profiles based on actions performed. It can also be used to identify employees with specific skills and assign tasks accordingly.
- Skills ontology defines skills possessed by employees in an enterprise
- Utterances are segmented into text strings and processed by an NLU service/engine
- NLU techniques extract intents and entities from the utterances
- Skills can be identified from the extracted entities
- New skill records can be added to the ontology
- Employee profiles can be updated based on actions performed
- Skills ontology can be used to assign tasks to employees based on their skills
- Employee skills profiles can be updated to reflect task performance
Potential applications of this technology:
- Workforce management and task assignment in enterprises
- Skill matching for project teams or task allocation
- Employee skill development and training programs
Problems solved by this technology:
- Efficient identification and utilization of employee skills
- Streamlining task assignment and workforce management
- Enhancing employee development and training programs
Benefits of this technology:
- Improved task allocation and efficiency in enterprises
- Enhanced employee engagement and satisfaction
- Optimal utilization of employee skills and resources
Original Abstract Submitted
a skills ontology includes classes of data that define skills possessed or demonstrated by employees of an enterprise. specifically, sets of data may be received and segmented into strings of text referred to as utterances. the utterances may be provided to an nlu service/engine, which uses nlu techniques to process the utterances to extract intents and/or entities. skills may be identified from within the extracted entities. new skill records may be added to the skills ontology for newly extracted skills. employee profiles of the skills ontology may also be updated based on the actions being performed. further, the skills ontology may be utilized to identify employees having the skills associated with tasks to be performed and assign the task to an employee for completion. once the task as been completed, skills profiles of the employee in the skills ontology may be updated to reflect performance of the task.
