Knowledge Tree
DBpedia
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Integrating Knowledge Graphs into RAG-Based LLMs to Improve ... thesis.unipd.it 5 facts
claimIntegrating Large Language Models with structured sources like DBpedia using a RAG architecture improves fact-checking reliability, according to the thesis 'Integrating Knowledge Graphs into RAG-Based LLMs to Improve...'.
procedureThe proposed method for integrating knowledge graphs with LLMs utilizes Named Entity Recognition (NER) and Named Entity Linking (NEL) combined with SPARQL queries directed at the DBpedia knowledge graph.
procedureThe proposed method in the thesis integrates knowledge graphs with Large Language Models by combining Named Entity Recognition (NER) and Named Entity Linking (NEL) with SPARQL queries to the DBpedia knowledge graph.
measurementThe Gemini-1.5-Flash model achieved a balanced accuracy improvement of approximately 3% (reaching ~60% balanced accuracy) when provided with structured descriptions like abstracts from DBpedia.
procedureThe proposed fact-checking method utilizes a system that combines Named Entity Recognition (NER) and Named Entity Linking (NEL) with SPARQL queries directed at the DBpedia knowledge graph.
The construction and refined extraction techniques of knowledge ... nature.com Feb 10, 2026 4 facts
referenceChristian Bizer et al. published 'Dbpedia-a crystallization point for the web of data' in the Journal of Web Semantics, Volume 7, Issue 3, pages 154–165, in 2009.
referenceSingh, K. et al. published 'No one is perfect: analysing the performance of question answering components over the dbpedia knowledge graph' in J. Web Semant. 65, 100594 (2020).
claimRule-based methods like DBpedia extracted triples from Wikipedia infoboxes using predefined rules, which provided efficiency for fixed-format data but struggled with the complex semantics of natural language.
claimKnowledge graphs have been successfully applied in general domains such as WordNet and DBpedia, and in applications like information retrieval.
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Nov 4, 2024 3 facts
claimDBpedia is a community-driven project that extracts structured content from Wikipedia and makes it available online.
claimCross-domain knowledge graphs, such as Google Knowledge Graph and DBpedia, integrate knowledge from different disciplines to provide broad information for applications requiring deep general understanding, such as search engines and virtual assistants.
referenceAuer et al. (2007) published 'Dbpedia: a nucleus for a web of open data' in 'The Semantic Web'.
Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Apr 3, 2023 1 fact
referenceDBpedia is a knowledge graph that extracts semantically meaningful information from Wikipedia to create a structured ontological knowledge base.
Combining large language models with enterprise knowledge graphs frontiersin.org Aug 26, 2024 1 fact
measurementDBpedia contains approximately 900 million triples.
A Knowledge Graph-Based Hallucination Benchmark for Evaluating ... arxiv.org Feb 23, 2026 1 fact
referenceKnowledge-Graph Question-Answer (KGQA) benchmarks use Knowledge Graphs, such as Wikidata (Vrandečić and Krötzsch, 2014) and DBpedia (Auer et al., 2007), to generate questions.
Hybrid Fact-Checking that Integrates Knowledge Graphs, Large ... aclanthology.org 1 fact
procedureThe hybrid fact-checking system developed by Kolli et al. operates in three autonomous steps: (1) Knowledge Graph (KG) retrieval for rapid one-hop lookups in DBpedia, (2) Language Model (LM)-based classification guided by a task-specific labeling prompt that produces outputs with internal rule-based logic, and (3) a Web Search Agent invoked only when Knowledge Graph coverage is insufficient.
Applying Large Language Models in Knowledge Graph-based ... arxiv.org Jan 7, 2025 1 fact
claimKnowledge graphs can derive new knowledge through reasoning and describe real-world entities from open knowledge bases (such as DBpedia, schema.org, or YAGO) or organization-specific entities.
Large Language Models Meet Knowledge Graphs for Question ... arxiv.org Sep 22, 2025 1 fact
referenceThe KG-Rank method, proposed by Yang et al. in 2024, uses Similarity and MMR-based Ranking with GPT-4, Llama-2-7B, and Llama-2-13B language models and the UMLS and DBpedia knowledge graphs for domain-specific QA, evaluated using ROUGE-L, BERTScore, MoverScore, and BLEURT metrics on the LiveQA, ExpertQA-Bio, ExpertQA-Med, and MedQA datasets.