Abstract
While getting a doctorate degree, new skills are acquired, opening up multiple traditional and non-traditional avenues of future employment. To help doctoral students explore the available career paths based on their skills, interests and values, we built a findable, accessible, interoperable, and reusable Skills to Career with Interests and Values ontology (SCIVO). It is a compact ontology of seven classes to harmonize the heterogeneous resources available providing information related to career paths. We demonstrate the interoperability and usability of SCIVO through building a knowledge graph using the web scraped publicly available data from the Science Individual Development Plan tool for current doctoral students - myIDP and the National Science Foundation Survey of Earned Doctorates (NSF SED) 2019 data. The generated knowledge graph (named SCIVOKG) consists of one hundred and sixteen classes and one-thousand seven-hundred and forty instances. An evaluation is conducted using application-based competency questions generated by analyzing data collected through surveys and individual interviews with current doctoral students. SCIVO provides an ontological foundation for building a harmonized resource as an aid to doctoral students in exploring the career options based on their skills, interests and values.
List of Resources
| Resources | Links |
|---|---|
| Ontology | Skills to Career with Interests and Values Ontology |
| Knowledge Graph | Skills to Career with Interests and Values Ontology |
| SCIV Modeling | Modeling |
| Science myIDP tool and NSF Doctoral Recipients Survey 2019 Example | Use Case |
| Competency Questions | SPARQL Queries |
| Tools Used | References to tools used |
Tools Used during Development
- Ontology Editor: Protégé 5.5.0
- SPARQL Queries ran on Blazegraph Workbench
- RDF Visualization generated with RDFViewer