Evidence Paths: Grounding LLM-Generated Hypotheses in Semantic Web Knowledge GraphsScientific discovery depends on connecting claims scattered across a fragmented literature—yet researchers’ tools offer either creative breadth or rigorous traceability, rarely both.
- doi
- 10.1145/3800935.3830863
- isbn
- 979-8-4007-2564-7
- name
- Evidence Paths: Grounding LLM-Generated Hypotheses in Semantic Web Knowledge Graphs
- source
- html
- acm_url
- https://dl.acm.org/doi/10.1145/3800935.3830863
- authors
- Nicola Raffaele Di Matteo, James Blustein
- doi_url
- https://doi.org/10.1145/3800935.3830863
- license
- CC BY 4.0
- summary
- Scientific discovery depends on connecting claims scattered across a fragmented literature—yet researchers’ tools offer either creative breadth or rigorous traceability, rarely both.
- keywords
- Semantic Web; large language models; literature-based discovery; knowledge graphs; nanopublications; human in the loop
- published
- 2026-09-14
- conference
- HT '26: 37th ACM Conference on Hypertext, London, United Kingdom, September 14–18, 2026
- acm_html_url
- https://dl.acm.org/doi/fullHtml/10.1145/3800935.3830863
- ccs_concepts
- CCS Concepts: • Theory of computation → Automated reasoning ; • Computing methodologies → Discourse, dialogue and pragmatics ; • Human-centered computing → Hypertext / hypermedia ; • Human-centered computing → Collaborative interaction ; • Information systems → Web searching and information discovery ;
- displayAuthor
- Nicola Raffaele Di Matteo, James Blustein
- proceedings_url
- https://dl.acm.org/doi/proceedings/10.1145/3800935
- displayPublishTime
- 2026-09-14
- acm_reference_format
- ACM Reference Format: Nicola Raffaele Di Matteo and James Blustein. 2026. Evidence Paths: Grounding LLM-Generated Hypotheses in Semantic Web Knowledge Graphs. In 37th ACM Conference on Hypertext (HT '26), September 14--18, 2026, London, United Kingdom. ACM, New York, NY, USA 7 Pages. https://doi.org/10.1145/3800935.3830863
Powered by Seed HypermediaOpen App