Skills and Expertise in Large Organizations: An Enterprise Knowledge Graph Approach

Abstract

Big organizations have a complex ecosystem of entities: products, people, skills, and intellectual properties. Formally capturing, maintaining, and serving this knowledge is a complex challenge. Enterprise Knowledge Graphs (EKG) are an effective method to represent enterprise information in ways that can be more easily interpreted by both humans and machines. In this study, we concentrate on the EKG's section related to individuals' skills and expertise. We present a method to determine the topics that employees are knowledgeable about, using the text from their scholarly publications and patents. We use publicly available datasets on US patents and scholarly publications and apply Information Extraction techniques to extract skills from the text and represent them in the EKG format. The resulting EKG proves valuable for querying and analyzing employees' skills, helping to identify experts in specific domains.