Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language
Encyclopedic knowledge graphs, such as Wikidata, host an extensive repository of millions of knowledge statements. However, domain-specific knowledge from fields such as history, physics, or medicine is significantly underrepresented in those graphs. Although few domain-specific knowledge graphs exist (e.g., Pubmed for medicine), developing specialized retrieval applications for many domains still requires constructing knowledge graphs from scratch. To facilitate knowledge graph construction, we introduce WAKA: a Web application that allows domain experts to create knowledge graphs through the medium with which they are most familiar: natural language.
Code (1)
Tasks
graph constructionKnowledge GraphsRetrievalSimilar Papers 제목 키워드 기반
MetaConfigurator: AI-Assisted RDF Authoring from JSON Data
Scientific workflows increasingly generate structured JSON data that is easy to exchange but difficult to interpret consistently across systems due to lacking semantic interoperability. While JSON Schema ensures structur…
Knowledge GraphsTranslating Universal Scene Descriptions into Knowledge Graphs for Robotic Environment
Robots performing human-scale manipulation tasks require an extensive amount of knowledge about their surroundings in order to perform their actions competently and human-like. In this work, we investigate the use of vir…
Knowledge GraphsMRGEN: A Conceptual Framework for LLM-Powered Mixed Reality Authoring Tools for Education
Mixed Reality (MR) offers immersive and multimodal opportunities for education but remains difficult for teachers to author without technical expertise. We propose MRGEN, a conceptual framework for LLM-powered authoring …
F(AI)2R: Who Did What, and Who Checked? Verifiable AI Provenance as an Executable Skill
F(AI)2R is FAIR research with AI in the loop, twice: an AI-assisted authoring pass and a machine-readable audit pass over every artefact. AI systems now draft, refactor, and verify research artefacts, yet their contribut…
AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation
Generative LLMs have been shown to effectively power AI-based code authoring tools that can suggest entire statements or blocks of code during code authoring. In this paper we present CodeCompose, an AI-assisted code aut…
16k