We build evidence-centered software that turns scattered context into reviewable decisions and safe action.

맥락지혜 연구실은 메일, 문서, 일정, 데이터, 운영 증거처럼 흩어진 맥락을 연결해 사람이 더 빨리 이해하고, 근거를 확인하고, 안전하게 행동할 수 있도록 돕는 제품과 기반 기술을 만듭니다.

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These products compose through explicit contracts. A convenient integration does not transfer source-of-truth ownership, credential authority, security authority, or scientific validity from one product to another.

• LineageWeave reconstructs record-lineage structures from scattered, weakly linked evidence. Its protected source currently describes a demo-prototype boundary rather than a production-data claim.
• Semantic Data Portal is an ontology-driven graph-and-vector semantic catalog for finding, browsing, and governing datasets and concepts.
• Orgmetra develops evidence-centered HRIS/HCM contracts around people, employment, organizations, jobs, positions, and assignments while keeping identity and adjacent product authority separate.
• ConceptWeave develops governed ontology and semantic-layer engineering around observed evidence, proposals, deterministic validation, review, and publication boundaries.
• ELUNVERA develops an evidence-centered CRM and relationship-intelligence contract while keeping model output reviewable rather than silently authoritative.

• fast-mlsirm is an early high-performance psychometric toolkit for multidimensional latent-space item-response modeling, simulation, estimation, diagnostics, and recovery evidence.
• TEPP is the Temporal Event Psychometrics Platform for temporal, relational, multilingual measurement with Rust-owned statistical and psychometric arithmetic.
• RankWeave provides independently operable ranking, fusion, evaluation, and report contracts for applications that need evidence-backed ranking behavior.

Scientific and statistical outputs are evidence, not automatic decision authority. Interpretation, fairness, validity, and release claims stay bound to the methods, data, assumptions, and verification that actually support them.

• EgressWeave provides explicit, reviewable outbound HTTP authority instead of ambient network trust.
• wardnet develops gateway and security-operations control-plane capabilities with product and external-security boundaries kept explicit.
• metering-billing-platform develops metering, billing, entitlement, and finance-operation evidence contracts.
• governance-risk-compliance develops policy, control, evidence, and governance workflows without treating documentation or mappings as certification.
• context-graph-contracts defines shared interoperability contracts without becoming an application or foreign system of record.

1. Evidence before authority. A model answer, score, scanner result, document, or workflow status does not become a business, security, scientific, legal, or merge decision merely because it exists.
2. Source systems stay authoritative. Products integrate through versioned contracts and anti-corruption boundaries instead of copying foreign truth or depending on cross-service application-table SQL.
3. Human judgment remains visible. We aim to reduce context reconstruction and repetitive work while preserving review points where consequences require a person or an explicitly governed authority.
4. Fail closed on uncertainty. Missing provenance, stale identity, ambiguous permissions, unsupported scientific evidence, and unverified release state should stop a claim or action rather than be filled in heuristically.
5. Commercial provenance matters. Repository source licensing and third-party software/assets are reviewed separately. A permissive project license does not relicense an incompatible dependency.

We use DIKW as a set of product checkpoints rather than an automatic hierarchy:

records → contextualization → judgment points → action

The practical questions are simple: Did we retain the source evidence? Did we add the context needed to interpret it? Did we expose uncertainty and counterevidence? Did we narrow the result to a reviewable decision or next action?

Selected background:

• Ackoff, R. L. (1989). From data to wisdom. Journal of Applied Systems Analysis, 16(1), 3–9.
• Baskarada, S., & Koronios, A. (2013). Data, information, knowledge, wisdom (DIKW): A semiotic theoretical and empirical exploration. Australasian Journal of Information Systems, 18(1). https://doi.org/10.3127/ajis.v18i1.748
• Frické, M. (2009). The knowledge pyramid: A critique of the DIKW hierarchy. Journal of Information Science, 35(2), 131–142. https://doi.org/10.1177/0165551508094050
• Brienza, J. P., Kung, F. Y. H., Santos, H. C., Bobocel, D. R., & Grossmann, I. (2018). Wisdom, bias, and balance: Toward a process-sensitive measurement of wisdom-related cognition. Journal of Personality and Social Psychology, 115(6), 1093–1126. https://doi.org/10.1037/pspp0000171

This organization profile is a curated entry point, not an exhaustive product catalog and not release, deployment, customer, certification, or commercial-readiness evidence. The owning repository remains authoritative for each product's current behavior, maturity, installation path, security posture, and license.

The ContextualWisdomLab .github repository and this profile are licensed under the MIT License. Linked repositories and all third-party packages, assets, standards, models, datasets, and services retain their own terms; this profile does not relicense them.

Founded by Seongho Bae. ORCID: 0000-0003-2484-3881.