header

Structuring Visual Exploratory Analysis of Skill Demand

42 Pages Posted: 7 Jul 2018 First Look: Accepted

See all articles by Aba-Sah Dadzie

Aba-Sah Dadzie

The Open University - Knowledge Media Institute

Elisa Sibarani

University of Bonn; Jožef Stefan Institute

Inna Novalija

Jožef Stefan Institute

Simon Scerri

University of Bonn; Fraunhofer-Institut für Intelligente Analyse- und Informations Systeme IAIS

Abstract

The analysis of increasingly large and diverse data for meaningful interpretation and question answering is handicapped by human cognitive limitations. Consequently, semi-automatic abstraction of complex data within structured information spaces becomes increasingly important, if its knowledge content is to support intuitive, exploratory discovery. Exploration of skill demand is an area where regularly updated, multi-dimensional data may be exploited to assess capability within the workforce to manage the demands of the modern, technology- and data-driven economy. The knowledge derived may be employed by skilled practitioners in defining career pathways, to identify where, when and how to update their skillsets in line with advancing technology and changing work demands. This same knowledge may also be used to identify the combination of skills essential in recruiting for new roles. To address the challenges inherent in exploring the complex, heterogeneous, dynamic data that feeds into such applications, we investigate the use of an ontology to guide structuring of the information space, to allow individuals and institutions to interactively explore and interpret the dynamic skill demand landscape for their specific needs. As a test case we consider the relatively new and highly dynamic field of Data Science, where insightful, exploratory data analysis and knowledge discovery are critical. We employ context-driven and task-centered scenarios to explore our research questions and guide iterative design, development and formative evaluation of our ontology-driven, visual exploratory discovery and analysis approach, to measure where it adds value to users' analytical activity. Our findings reinforce the potential in our approach, and point us to future paths to build on.

Keywords: domain modeling, knowledge discovery, visual exploration, ontology-guided visual analytics, trend identification, demand analysis

Suggested Citation

Dadzie, Aba-Sah and Sibarani, Elisa and Novalija, Inna and Scerri, Simon, Structuring Visual Exploratory Analysis of Skill Demand (March 2018). Journal of Web Semantics First Look. Available at SSRN: https://ssrn.com/abstract=3199321 or http://dx.doi.org/10.2139/ssrn.3199321

Aba-Sah Dadzie (Contact Author)

The Open University - Knowledge Media Institute ( email )

Walton Hall
Milton Keynes
United Kingdom

Elisa Sibarani

University of Bonn ( email )

Regina-Pacis-Weg 3
Postfach 2220
Bonn, D-53012
Germany

Jožef Stefan Institute ( email )

Jamova cesta 39
Ljubljana, 1000
Slovenia

Inna Novalija

Jožef Stefan Institute ( email )

Jamova cesta 39
Ljubljana, 1000
Slovenia

Simon Scerri

University of Bonn ( email )

Regina-Pacis-Weg 3
Postfach 2220
Bonn, D-53012
Germany

Fraunhofer-Institut für Intelligente Analyse- und Informations Systeme IAIS ( email )

Sankt Augustin, 53757
Germany

Register to save articles to
your library

Register

Paper statistics

Abstract Views
247
Downloads
17