TL;DR
This paper introduces DBpedia on Demand, a system that provides on-demand access to DBpedia resources, reducing computational requirements and addressing data staleness issues in large-scale knowledge graphs.
Contribution
It presents a novel system enabling on-demand resource serving for large knowledge graphs without full materialization, improving efficiency and freshness.
Findings
Reduces computational resources needed for knowledge graph access
Provides limited querying capabilities on demand
Addresses data staleness in large-scale graphs
Abstract
Modern large-scale knowledge graphs, such as DBpedia, are datasets which require large computational resources to serve and process. Moreover, they often have longer release cycles, which leads to outdated information in those graphs. In this paper, we present DBpedia on Demand -- a system which serves DBpedia resources on demand without the need to materialize and store the entire graph, and which even provides limited querying functionality.
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Graph Neural Networks · Data Quality and Management
