arXiv:2107.00873
공식 코드 · Papers with Code
On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpedia
원문 초록
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 Moreover, they often have longer release cycles, which leads to outdated information in those graphs.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.
함께 살펴볼 논문
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Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs
Multi-modal Knowledge Graph Generation with Semantics-enriched Prompts
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge
Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
토론
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