Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
DE-9IM: Regions, Standards & Products
The Dimensionally Extended 9-Intersection Model (DE-9IM) is a topological model and a standard used to describe the spatial relations of two regions (two geometries in two-dimensions, R2), in geometry, point-set topology, geospatial topology, and fields related to computer spatial analysis. The spatial relations expressed by the model are invariant to…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
DE-9IM topic overview
The analysis highlights Regions, Standards and Products as prominent areas in the source structure around DE-9IM.
Related topics
57
Source areas
4
Connected nodes
61
Extracted relationships
87
Concept neighborhoods
21
Bridge connections
61
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Matrix model · 18 topics
Overview · 16 topics
Queries and assertions · 14 topics
Spatial predicates · 9 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How DE-9IM connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around DE-9IM shows recurring relationship patterns in the source. For example, DE-9IM → ANYINTERACT, Clementini, Clementini-Matrix, DC, EB, EC, Egenhofer, Egenhofer-Matrix, EI, EQ, Example, FF, G1, G2, IE, II, In Region, Its, Other, OVERLAPBDYDISJOINT Another extracted example is DE-9IM → Clause, Contains, Crosses, Geometry, Geometry Types, Intersects, ISO, OGC, Part, Spatial, SQL, SQL/MM, SQL/MM Spatial, The, The Open Geospatial Consortium, The Simple Feature Access, This DE-9IM, Touches. Use these groups to spot repeated connection types before inspecting the individual relationships.
DE-9IM
Top relations
related to Synonyms· 24
DE-9IM → ANYINTERACT, Clementini, Clementini-Matrix, DC, EB, EC, Egenhofer, Egenhofer-Matrix, EI, EQ, Example, FF, G1, G2, IE, II, In Region, Its, Other, OVERLAPBDYDISJOINT
related to Standards· 18
DE-9IM → Clause, Contains, Crosses, Geometry, Geometry Types, Intersects, ISO, OGC, Part, Spatial, SQL, SQL/MM, SQL/MM Spatial, The, The Open Geospatial Consortium, The Simple Feature Access, This DE-9IM, Touches
related to Queries and assertions· 17
DE-9IM → As, BB, BE, BI, Each, EB, EE, EI, IB, IE, II, It, Karnaugh, The DE-9IM, Three-way, Truth, Venn
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 87 structured relationships around DE-9IM. Examples in this analysis include Intersects → instance of → Relationships and DE-9IM → related to Coverage on possible matrix results → The. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Intersects
instance of
Relationships
0.80
text
Disjoint
instance of
Relationships
0.80
text
Touches
instance of
Relationships
0.80
text
Within
instance of
Relationships
0.80
text
Equals
instance of
Relationships
0.80
text
DE-9IM
related to Coverage on possible matrix results
The
0.60
section
DE-9IM
related to Coverage on possible matrix results
On
0.60
section
DE-9IM
related to External links
Point Set Theory
0.60
section
DE-9IM
related to External links
DE-9IM MatrixIllustrated Tutorial
0.60
section
DE-9IM
related to Implementation and practical use
Most
0.60
section
DE-9IM
related to Implementation and practical use
PostGIS
0.60
section
DE-9IM
related to Implementation and practical use
The
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around DE-9IM bring nearby vocabulary together. In this analysis, examples include Spatial, Geometries and Boolean. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
DE-9IM
Spatial
Geometries
Boolean
Matrix
Code
Model
Predicates
Used
Two
String
Use
Semantic
de-9im
Spatial
Geometries
Boolean
Matrix
Code
Model
Predicates
Used
Two
String
Use
Semantic
model
Spatial
Geometry
Interior
Domain
Use
Standard
Boundary
Geometries
Intersects
Possible
Relations
Predicates
spatial relations
Intersects
Predicates
Use
Standard
Equals
Relations
Spatial
Touches
Contains
Disjoint
Like
Boundary
geometries in two-dimensions
Two
Predicates
Also
Spatial
Interior
Points
Intersects
Relations
Use
Model
Boundary
Predicate
computer spatial analysis
Predicates
Use
Standard
Relations
Boundary
Predicate
Used
Two
Also
Interior
Intersects
Crosses
spatial databases
Predicates
Use
Standard
Relations
Boundary
Predicate
Used
Two
Also
Interior
Intersects
Crosses
boundary
Interior
Geometry
Example
Use
Model
Standard
Spatial
St
Geometries
Possible
Expressed
Points
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For DE-9IM, one of the stronger structural bridges in this analysis connects DE-9IM with Matrix model. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
DE-9IM
Nodes62
Edges61
Triples87
Avg. degree1.97
Density0.032258
Components1
Source & methodology
TTTA analyzes the structure around DE-9IM to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Regions, Standards & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
