专题:Biomedical Text Mining and Ontologies

This cluster of papers focuses on the development and application of biomedical ontologies, text mining, and natural language processing techniques to extract and integrate knowledge from biomedical literature. It encompasses topics such as gene annotation, disease integration, phenotype ontology, data integration, and the use of semantic web technologies in knowledge management.
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Behavioral Ontology Part 2: An Algebra of Dynamic Behavioral Ontology

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Guardrails for Candidate-History Frameworks: A Declaration Ledger for Representation, Records, Admissibility, and Probability

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Jack Feist / LOGOS*: Entity Resolution Packet for The Feist Source (EA-MPAI-FEISTSOURCE-01 v1.0)

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VECTAETOS™ Canonical Ontology License v2.0

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Self-Audit Module for Public Summarizers: PER, DSL, and Query Fidelity (v2) — Standing Metrics for Composition-Layer Self-Evaluation

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SIM — Semantic Integrity Marker Protocol v1.0: A Standalone Specification

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PMOS: What's in a name? Everything.

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Deterministic Citation-Identity in Perplexity: A 14-Day Zero-Variance Replication of AI Citation Behaviour on Proprietary-Concept Queries

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Hybrid Big Data-LLM Framework for Intelligent Scientific Literature Mining

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Towards the explainability of protein language models

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