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Last modified by Robert Schaub on 2026/02/08 08:27
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edited by Robert Schaub
on 2025/12/23 11:35
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To version 1.3
edited by Robert Schaub
on 2026/01/20 20:25
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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 +
4 4  = Specification =
6 +
5 5  This section defines the technical architecture, data models, and functional requirements of FactHarbor.
8 +
6 6  == 1. Mission ==
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7 7  **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.**
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8 8  == 2. Purpose ==
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9 9  Modern society faces a deep informational crisis:
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10 10  * Misinformation spreads faster than corrections.
11 11  * High-quality evidence is buried under noise.
12 12  * Meanings shift depending on context — but this is rarely made explicit.
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19 19  * Likelihood-based verdicts (one per scenario).
20 20  * Versioning and temporal change tracking.
21 21  * Hybrid AI–human collaboration.
29 +
22 22  == 3. Core Concepts ==
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23 23  * **Claim**: A statement needing structured interpretation.
24 24  * **Scenario**: Definitions, assumptions, boundaries, and context.
25 25  * **Evidence**: Information supporting or contradicting a scenario.
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29 29  * **Federation**: Decentralized nodes hosting datasets.
30 30  * **Truth Landscape**: The aggregation of multiple scenario-dependent verdicts showing where a claim is plausible.
31 31  * **Time Evolution**: Versioning of all entities allowing historical views.
41 +
32 32  == 4. Functional Lifecycle ==
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33 33  The system follows a six-step lifecycle:
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34 34  1. **Claim submission**: Automatic extraction and normalisation; Cluster detection.
35 35  2. **Scenario building**: Clarifying definitions and assumptions; AI proposals with human approval.
36 36  3. **Evidence handling**: AI-assisted retrieval; Human assessment of reliability; Explicit scenario linking.
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37 37  4. **Verdict creation**: AI-generated draft verdicts; Human refinement; Reasoning explanations.
38 38  5. **Public presentation**: Concise summaries; Truth Landscape comparison; Deep dives.
39 39  6. **Time evolution**: Versioning of all entities; Re-evaluation triggers when evidence changes.
52 +
40 40  == 5. Chapters ==
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41 41  This specification is organized into the following sections:
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42 42  === Core Documentation ===
43 -* [[AI Knowledge Extraction Layer (AKEL)>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]] - AI system architecture
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59 +* [[AI Knowledge Extraction Layer (AKEL)>>Archive.FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]] - AI system architecture
44 44  * [[Architecture>>FactHarbor.Specification.Architecture.WebHome]] - System architecture and design
45 45  * [[Automation>>FactHarbor.Specification.Automation.WebHome]] - Automated processes and workflows
46 46  * [[Data Model>>FactHarbor.Specification.Data Model.WebHome]] - Database schema and entities
47 47  * [[Requirements>>FactHarbor.Specification.Requirements.WebHome]] - Functional and non-functional requirements
48 48  * [[Workflows>>FactHarbor.Specification.Workflows.WebHome]] - Process workflows
65 +
49 49  === Diagrams ===
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50 50  * [[Diagrams>>FactHarbor.Specification.Diagrams.WebHome]] - Visual architecture and workflow diagrams
69 +
51 51  === Additional Resources ===
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52 52  * [[Data Examples>>FactHarbor.Specification.Examples.WebHome]] - Sample data structures
53 53  * [[FAQ>>FactHarbor.Specification.FAQ.WebHome]] - Frequently asked questions
54 54  * [[Federation & Decentralization>>FactHarbor.Specification.Federation & Decentralization.WebHome]] - Future federation plans