Discovering Technology Gaps using the IntSight Knowledge Navigator

TL;DR

This paper introduces a method for identifying technology gaps within an organization's focus areas by leveraging a knowledge graph that integrates semantic search, graph analytics, and query optimization on a heterogeneous data platform.

Contribution

It presents a novel approach combining multiple techniques to analyze knowledge graphs for discovering technology gaps in organizational contexts.

Findings

Effective identification of technology gaps demonstrated

Integration of semantic search and graph analytics enhances analysis

Utilization of polystore query optimization improves performance

Abstract

Knowledge analysis is an important application of knowledge graphs. In this paper, we present a complex knowledge analysis problem that discovers the gaps in the technology areas of interest to an organization. Our knowledge graph is developed on a heterogeneous data management platform. The analysis combines semantic search, graph analytics, and polystore query optimization.