Paradata Nodes
Introduction
Paradata nodes (ParadataNode, also known as validation nodes) are a specialized set of nodes designed to express data provenance—documenting how we know what we know about stratigraphic units. These nodes form a “family” that works together to create a clear chain of evidence and interpretation.
Example
Consider a Roman wall visible inside a modern building’s basement. A user needs to document various properties, each sitting at a different point along a gradient of certainty and evidence:
Direct Observation
* Surface material visible and touchable
* Exposed height measurable with tape
* Construction technique visible on surface
Instrumental Detection
* Wall thickness measured through georadar
* Internal structure revealed by thermography
* Foundation depth from archaeological probes
Documentary Evidence
* Original height suggested by historical descriptions
* Previous restoration work from archival records
* Past modifications from historical photographs
Comparative Analysis
* Construction period (start_time) inferred from technique
* Original function based on similar structures
* Architectural details reconstructed from parallels
Complete Hypothesis * Full architectural reconstruction * Original appearance and decoration * Integration with surrounding structures
Each property can be documented with its own paradata chain, regardless of where it falls on this gradient. This flexible approach allows:
_ Documentation chains that reflect the real complexity of knowledge acquisition - Multiple methods of determination for the same property - Clear tracking of evidence strength and certainty levels - Integration of physical evidence and interpretative reconstruction - Unified treatment of study and reconstruction
The power of paradata nodes lies in their ability to model plastically around the phenomenon being studied or reconstructed, breaking down artificial barriers between observation and interpretation. A single stratigraphic unit might have properties documented through various means, each with its own evidence chain:
Technical Tip
The paradata chains adapt to each property’s nature: * Direct measurements might have shorter, simpler chains * Reconstructed elements typically have more complex chains with multiple sources * Some properties might have parallel chains representing different interpretative approaches
Paradata Node types
Property Node (PropertyNode)
A property node represents a specific characteristic or attribute of a stratigraphic unit. The name of a property corresponds to its type (e.g., material, height, length).
Note
For a complete taxonomy of property types and their relationships, please refer to the Properties (Qualia) section of this documentation.
Example
For a column base, properties might include:
material = marble; height = 45cm; style = Doric
Technical Tip
s3Dgraphy automatically generates unique identifiers by combining the ID of the connected stratigraphic unit with the property name (e.g., “USM100.height”, “SF10.material”).
Document Node (DocumentNode)
A document node represents primary sources that provide evidence about stratigraphic units.
Note
For a complete taxonomy of document (source) types and their relationships, please refer to the Document (Source) section of this documentation.
Example
Common document types include: * Excavation reports * Historical photographs * Ancient texts * Survey drawings
Extractor Node (ExtractorNode)
An extractor node captures how researchers interpret information from source documents.
Practical Example
Let’s examine how an extractor processes information from a historical source to establish a construction technique:
Context: A historical photograph from 1892 shows the remains of a Roman wall before modern restoration work.
Source Document (D.01) - Type: Historical photograph - Date: 1892 - Archive: State Archive of Rome - Description: Black and white photograph showing the eastern wall of the Roman villa
Extractor Analysis (D.01.01) The extractor node documents the interpretive process:
“The photograph shows a clear pattern of regular courses in the wall face. Despite the grainy quality of the 19th-century photograph, the size and arrangement of the elements are consistent with opus testaceum (Roman brick facing technique). This is evidenced by:
Regular horizontal coursing visible in the wall face
Uniform size of individual elements suggesting standard Roman brick dimensions
Characteristic pattern of headers and stretchers typical of 2nd century CE opus testaceum
Visible remains of mortar joints of approximately 1 finger width”
Resulting Property Node - Property: construction_technique - Value: opus testaceum - Reliability: high - Supporting evidence: Photographic documentation showing characteristic
patterns of Roman brick construction technique
This example demonstrates how an extractor transforms visual information from a historical photograph into a documented construction technique property, creating a clear chain of evidence from source to interpretation.
Note
For a complete taxonomy of extracto (interpretation) types and their relationships, please refer to the Extractor (Interpretation) section of this documentation.
Example
An archaeologist reading a 19th-century excavation report might note: “The description on page 10 clearly identifies this capital as being made of Pentelic marble, based on the crystalline structure described.”
Combiner Node (CombinerNode)
A combiner node represents the synthesis of multiple interpretations to support a single conclusion.
Example
An archaeologist might combine:
A historical photograph showing column dimensions
An excavation report describing material
A comparative analysis of similar structures
To establish comprehensive documentation of a column’s properties.
Working Together: The Paradata Chain
Example
Consider documenting a fragmentary lintel:
Physical Evidence: Fragmentary lintel (SU003)
Source: Historical photograph of Temple of Mars, Rome (D01)
Interpretation: Analysis of decorative elements visible in photograph
Property: Decoration style attribution
Technical Tip
The paradata chain follows the DIKW (Data-Information-Knowledge-Wisdom) hierarchy: * Data: Raw sources (Document Nodes) * Information: Interpreted sources (Extractor Nodes) * Knowledge: Combined interpretations (Combiner Nodes) * Wisdom: Applied understanding (Property Nodes)
Multiple Source Validation
Example
Complex properties often require multiple sources:
Physical elements: Fragmentary lintel (SU003) atop two columns
Sources: Position measurements of both columns
Interpretation: Analysis of spatial relationships
Synthesis: Combined measurements determine total length
Property: Final length attribution
Fig. 18 Example of property validation using a single source
Fig. 19 Example of property validation using multiple sources
Fig. 20 Example of complete paradata chain (Draft diagram - to be updated)
Name conventions
Data Format
Node naming conventions:
Document nodes: “D.01”, “D.02”, etc.
Extractor nodes: [Document ID].[sequence], e.g., “D.01.01”
Combiner nodes: “C.01”, “C.02”, etc.
Property nodes: same name as the property (height, material, etc..)
Best Practices
Documentation Chain Integrity * Maintain clear links between all nodes in the chain * Document reasoning at each interpretation step * Preserve connection to original sources
Multiple Source Handling * Use combiner nodes when synthesizing multiple sources * Document conflicts or discrepancies between sources * Explain reasoning for preferring certain interpretations
Property Documentation * Link properties to supporting evidence * Document certainty levels * Note alternative interpretations when relevant
References
The paradata chain concept is grounded in the DIKW (Data-Information-Knowledge-Wisdom) hierarchy:
Ackoff, R. L. (1989). “From Data to Wisdom”. Journal of Applied Systems Analysis, 16(1), pp. 3-9.
Technical Note
For details on implementing these concepts in s3Dgraphy and integration with other systems, please refer to the Technical Documentation section.