Discovering Technology Gaps using the IntSight Knowledge Navigator
Aurpon Gupta, Subhasis Dasgupta, Snehasis Sinha, Amarnath Gupta

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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSemantic Web and Ontologies · Data Quality and Management · Advanced Database Systems and Queries
