Year: 2021
Type: preprint
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.
Source: arXiv (Cornell University)
Authors: Gupta, Aurpon, Dasgupta, Subhasis, Sinha, Snehasis, Gupta, Amarnath
Institutions: University of California San Diego, Walmart (United States)
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3200449081