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Last modified by Robert Schaub on 2026/02/08 08:27
From version 1.3
edited by Robert Schaub
on 2026/01/20 20:25
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To version 1.2
edited by Robert Schaub
on 2025/12/23 11:35
Change comment: Update document after refactoring.

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1 1  {{warning title="Version 0.9.32 (Draft)"}}
2 2  This document describes the **Specification** of FactHarbor. It is a working draft.
3 3  {{/warning}}
4 -
5 5  = Specification =
6 -
7 7  This section defines the technical architecture, data models, and functional requirements of FactHarbor.
8 -
9 9  == 1. Mission ==
10 -
11 11  **FactHarbor brings clarity and transparency to a world full of unclear, controversial, and misleading information by shedding light on the context, assumptions, and evidence behind claims — empowering people to better understand and judge wisely.**
12 -
13 13  == 2. Purpose ==
14 -
15 15  Modern society faces a deep informational crisis:
16 -
17 17  * Misinformation spreads faster than corrections.
18 18  * High-quality evidence is buried under noise.
19 19  * Meanings shift depending on context — but this is rarely made explicit.
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26 26  * Likelihood-based verdicts (one per scenario).
27 27  * Versioning and temporal change tracking.
28 28  * Hybrid AI–human collaboration.
29 -
30 30  == 3. Core Concepts ==
31 -
32 32  * **Claim**: A statement needing structured interpretation.
33 33  * **Scenario**: Definitions, assumptions, boundaries, and context.
34 34  * **Evidence**: Information supporting or contradicting a scenario.
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38 38  * **Federation**: Decentralized nodes hosting datasets.
39 39  * **Truth Landscape**: The aggregation of multiple scenario-dependent verdicts showing where a claim is plausible.
40 40  * **Time Evolution**: Versioning of all entities allowing historical views.
41 -
42 42  == 4. Functional Lifecycle ==
43 -
44 44  The system follows a six-step lifecycle:
45 -
46 46  1. **Claim submission**: Automatic extraction and normalisation; Cluster detection.
47 47  2. **Scenario building**: Clarifying definitions and assumptions; AI proposals with human approval.
48 48  3. **Evidence handling**: AI-assisted retrieval; Human assessment of reliability; Explicit scenario linking.
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49 49  4. **Verdict creation**: AI-generated draft verdicts; Human refinement; Reasoning explanations.
50 50  5. **Public presentation**: Concise summaries; Truth Landscape comparison; Deep dives.
51 51  6. **Time evolution**: Versioning of all entities; Re-evaluation triggers when evidence changes.
52 -
53 53  == 5. Chapters ==
54 -
55 55  This specification is organized into the following sections:
56 -
57 57  === Core Documentation ===
58 -
59 -* [[AI Knowledge Extraction Layer (AKEL)>>Archive.FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]] - AI system architecture
43 +* [[AI Knowledge Extraction Layer (AKEL)>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]] - AI system architecture
60 60  * [[Architecture>>FactHarbor.Specification.Architecture.WebHome]] - System architecture and design
61 61  * [[Automation>>FactHarbor.Specification.Automation.WebHome]] - Automated processes and workflows
62 62  * [[Data Model>>FactHarbor.Specification.Data Model.WebHome]] - Database schema and entities
63 63  * [[Requirements>>FactHarbor.Specification.Requirements.WebHome]] - Functional and non-functional requirements
64 64  * [[Workflows>>FactHarbor.Specification.Workflows.WebHome]] - Process workflows
65 -
66 66  === Diagrams ===
67 -
68 68  * [[Diagrams>>FactHarbor.Specification.Diagrams.WebHome]] - Visual architecture and workflow diagrams
69 -
70 70  === Additional Resources ===
71 -
72 72  * [[Data Examples>>FactHarbor.Specification.Examples.WebHome]] - Sample data structures
73 73  * [[FAQ>>FactHarbor.Specification.FAQ.WebHome]] - Frequently asked questions
74 74  * [[Federation & Decentralization>>FactHarbor.Specification.Federation & Decentralization.WebHome]] - Future federation plans