Reliable Context

A 2026 decision guide for ontology stewards: test changed referents, choose exact or candidate replacements, publish a migration notice, and measure consumer impact against an inventory.

A 2026 research guide to no-truth questions in data fusion, TEM source-quality assumptions, SF2013 F1 denominators, and a held-out test for candidate omission and correct abstention.

A 2026 guide to testing LLM context compression for evidence loss, with paired source bundles, exact-span scoring, citation-grounding data, and release rules for defensible answers.

A 2026 guide to assessing whether a knowledge graph can support a named decision, with separate tests for correctness, coverage, freshness, provenance, uncertainty, and a reusable quality card.

A 2026 migration analysis of RDF 1.2 provenance, including six assertion-safety tests, a 13-quad two-library round trip, and guidance on reifiers versus named graphs.

A 2026 evidence-led analysis of Google Knowledge Vault, its 1.6 billion unique triples, POPACCU+ error audit, provenance assumptions, and a defensible evaluation checklist.

A 2026 comparison of truth discovery algorithms using formal property tests, transparent baselines, empirical-Bayes conditions, benchmark design, and a reproducible acceptance protocol.

A 2026 research guide to streaming truth discovery, separating one-pass computation, evolving truth and source reliability drift with decision matrices and failure-injection metrics.

A 2026 evidence-based protocol for auditing truth-discovery aggregation across accuracy, disparity, coverage, uncertainty, dataset lineage, and downstream effects.

A 2026 guide to ontology competency questions as traceability contracts, covering five CQ types, SPARQL and SHACL testing, fixtures, expected results, and regression evidence.

A 2026 protocol for calibrating an LLM groundedness judge with controlled contradictions, paired judge-by-generator tests, confidence intervals, human review, and release gates.

A 2026 protocol for evaluating truth discovery without ground truth, comparing synthetic stress tests, sparse adjudication, observation likelihood, stability, and uncertainty.

A 2026 acceptance test for choosing contract-only, linked definitions, taxonomies, or ontology-backed ODCS 3.2 contracts, with a worked field crosswalk and handoff tests.

A 2026 method for testing ontology crosswalks through predicate semantics, inference closure, consumer queries, evidence packets, and version drift.

A 2026 guide to truth discovery from conflicting sources, with Wilson intervals, CATD and RTD analysis, source-count diagnostics, and retain, discount, pool, or abstain decisions.

A 2026 release-gate method for ontology owners covering SHACL limits, OWL import closure, query and entailment regression, migration evidence, and rollback.

A 2026 guide to fact-verification benchmarks, covering system boundaries, evidence regimes, dataset scales, metric validity, leakage, and benchmark selection.

A 2026 research comparison of valid time, transaction time, temporal link prediction, MRR, snapshot replay, benchmark design, and when to combine both models.

A 2026 application profile for reconstructable LLM evidence, with mandatory PROV mappings, source-state fields, mutation tests, and a two-serializer conformance matrix.

A 2026 standards analysis of 15 minimum provenance fields, five audit questions, PROV-O mappings, temporal rules, declared unknowns, validation tests, and export packaging.

A 2026 test framework for AI agent memory updates using two clocks, temporal fixtures, stale-answer rates, evidence reconstruction, conflict handling, and justified abstention.