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Last modified by Robert Schaub on 2025/12/24 20:35
From version 3.1
edited by Robert Schaub
on 2025/11/27 12:08
Change comment: There is no comment for this version
To version 4.1
edited by Robert Schaub
on 2025/11/27 12:11
Change comment: There is no comment for this version

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1 +== 1. Overall analysis & review of the data model ==
2 +
3 +=== 1.1 Strengths of the current design ===
4 +
5 +* (((
6 +**Identity vs. version pattern**
7 +Using base entities plus version entities (CLAIM + CLAIM_VERSION, SCENARIO + SCENARIO_VERSION, etc.) is exactly how modern knowledge systems handle:
8 +
9 +* auditability
10 +* time evolution
11 +* re-evaluation triggers
12 +* federation and partial replication
13 +)))
14 +* (((
15 +**Scenario-centric reasoning**
16 +Separating //Claim// (what people argue about) from //Scenario// (interpretive frame) is very aligned with “truth landscape” style systems:
17 +
18 +* Scenarios explain //why people disagree//.
19 +* Verdicts are tied to specific scenario versions → avoids mixing incompatible assumptions.
20 +)))
21 +* **Evidence and verdicts as first-class entities**
22 +Evidence is explicit, linked to scenarios, and verdicts are per scenario. This matches good practice from fact-checking, scientific assessment panels, and trust graphs.
23 +* (((
24 +**Cluster level (CLAIM_CLUSTER)**
25 +Grouping related claims avoids duplication and lets you:
26 +
27 +* reuse scenarios across paraphrases
28 +* share embeddings / semantic search
29 +* keep the system scalable as the corpus grows.
30 +)))
31 +* (((
32 +**Explicit review layer (REVIEW_ACTION, roles, etc.)**
33 +Separating “data” from “who reviewed what” keeps the model clean, and is exactly what you want for:
34 +
35 +* governance
36 +* permissions
37 +* audit trails
38 +* future trust scoring per user / role.
39 +)))
40 +
41 +----
42 +
43 +=== 1.2 Design decisions I’m locking in (based on our discussions) ===
44 +
45 +To make the model consistent and “state-of-the-art”, I will assume the following as //current intended design//:
46 +
47 +1. (((
48 +**Claims vs Scenarios**
49 +
50 +* CLAIM is the stable identity for “what people argue about”.
51 +* CLAIM_VERSION are individual phrasings / formulations / metadata.
52 +* (((
53 +SCENARIO belongs to a **CLAIM**, not to a specific CLAIM_VERSION.
54 +Rationale:
55 +
56 +* Many different phrasings share the //same// scenario.
57 +* You avoid duplicating scenarios per wording.
58 +)))
59 +* SCENARIO_VERSION holds detailed definitions, assumptions, boundaries, etc.
60 +)))
61 +1. (((
62 +**Version-specific reasoning**
63 +
64 +* **Verdicts** are always attached to SCENARIO_VERSION (not base SCENARIO).
65 +* **Evidence links** are between SCENARIO_VERSION and EVIDENCE_VERSION.
66 +→ This is what we agreed when we said //“SCENARIO_EVIDENCE_LINK should link the respective versions instead”//.
67 +)))
68 +1. (((
69 +**Clusters**
70 +
71 +* CLAIM_CLUSTER groups Claims (semantically close claims).
72 +* It is visible in **both diagrams** (Core Data Model and Data Use).
73 +)))
74 +1. (((
75 +**Review vs data**
76 +
77 +* (((
78 +All review happens **on versioned entities**:
79 +
80 +* CLAIM_VERSION
81 +* SCENARIO_VERSION
82 +* EVIDENCE_VERSION
83 +* SCENARIO_EVIDENCE_LINK_VERSION
84 +* VERDICT_VERSION
85 +)))
86 +* REVIEW_ACTION is the generic log of //who// did //what// on //which version//.
87 +)))
88 +1. (((
89 +**Users & roles**
90 +
91 +* USER has an attribute (or a linked entity) that distinguishes **technical users** from normal accounts.
92 +* We //keep// TECHNICAL_USER as a specialisation of USER (strictly technical accounts).
93 +* All human & technical accounts can hold roles via USER_ROLE_MEMBERSHIP.
94 +* (((
95 +Roles include:
96 +
97 +* READER
98 +* CONTRIBUTOR
99 +* TRUSTED_CONTRIBUTOR
100 +* REVIEWER
101 +* MODERATOR
102 +* SYSTEM_ADMIN / MAINTAINER
103 +* FEDERATION_OPERATOR
104 +* FEDERATION_ADMIN
105 +(all present in the Data Use ERD, but as rows of ROLE rather than separate entities).
106 +)))
107 +)))
108 +
109 +----
110 +
111 +=== 1.3 Gaps / potential problems ===
112 +
113 +These are the main issues & missing areas I see:
114 +
115 +1. (((
116 +**Versioning text in chapter 5 is currently too thin (‘…’ placeholders)**
117 +
118 +* (((
119 +The spec does not yet //verbally// spell out:
120 +
121 +* the identity vs version pattern, systematically
122 +* how re-evaluation triggers are derived from version changes
123 +* how this aligns with federation (which versions are replicated where).
124 +)))
125 +)))
126 +1. (((
127 +**No explicit “provenance granularity” in the model**
128 +
129 +* (((
130 +EVIDENCE is a single entity. For more advanced use cases, you may later want:
131 +
132 +* EVIDENCE_SOURCE (the whole article/report/video)
133 +* EVIDENCE_FRAGMENT (specific paragraph/clip with its own reliability, quote, etc.)
134 +)))
135 +* For now, I’ll keep EVIDENCE/EVIDENCE_VERSION as is, but I’ll mention this as a possible extension.
136 +)))
137 +1. (((
138 +**Review target polymorphism**
139 +
140 +* (((
141 +REVIEW_ACTION can apply to multiple entity types. In the diagram this shows as multiple relationships:
142 +
143 +* CLAIM_VERSION → REVIEW_ACTION
144 +* SCENARIO_VERSION → REVIEW_ACTION
145 +* etc.
146 +)))
147 +* A more “pure” relational modeling would use a generic “subjectType + subjectId” or an intermediate “REVIEW_TARGET” table.
148 +* For readability, I’ll keep the simpler multi-edge representation and mention the polymorphism in text.
149 +)))
150 +1. (((
151 +**Federation details missing from core ERD**
152 +
153 +* There is no explicit FEDERATION_NODE / REPLICATION_LOG in the Data Model chapter.
154 +* This is ok for “core logical data model”, but I’ll add a short note that federation metadata is handled in the Federation chapter and via additional entities.
155 +)))
156 +1. (((
157 +**Automation / AKEL artifacts left implicit**
158 +
159 +* (((
160 +The Data Model chapter currently doesn’t describe:
161 +
162 +* AKEL task queues
163 +* extraction runs
164 +* model versions
165 +)))
166 +* That’s fine for now; I’ll just clarify that those belong to a “Processing / AKEL” submodel, not the core logical data model.
167 +)))
168 +
1 1  = 5. Data Model =
2 2  
3 3  The FactHarbor data model centers on four fully versioned, immutable entities: