Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
John A. Robb: Career & Companies
John Alexander Robb (June 1, 1792 – January 28, 1867), was a 19th-century shipbuilder at Fell's Point, Baltimore. He had his own shipyard, which became noted for fast sailing Baltimore Clippers. He was an apprenticeship under shipbuilder Henry Eckford. Abolitionist Frederick Douglass, as a young man, worked at the John A. Robb shipyard as a caulker for…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
John A. Robb topic overview
The analysis highlights Career and Companies as prominent areas in the source structure around John A. Robb.
Related topics
43
Source areas
4
Connected nodes
47
Extracted relationships
87
Concept neighborhoods
17
Bridge connections
47
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.
Career · 20 topics
Overview · 11 topics
Early life · 10 topics
Death · 2 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.
Occupation
Shipbuilder
Born
John Alexander Robb (1792-06-01)June 1, 1792 Colony of Nova Scotia
Children
8
Died
January 28, 1867(1867-01-28) (aged 74) Baltimore, Maryland, U.S.
Resting place
Green Mount Cemetery
Spouse
Cornelia Cheney
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 John A. Robb 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 John A. Robb shows recurring relationship patterns in the source. For example, John A. Robb → Abolitionist Frederick Douglass, After, At, Baltimore, Baltimore Clippers, Brazil, Chapelle, Chesapeake Bay, Clara, Co, Douglass, During, East Baltimore, Eckford's, Fell's Point, Fells Point, Henry Eckford, Howard, In New York, It Another extracted example is John A. Robb → Abigail Tupper, Another, Archbold, Baltimore City Register, Canada, Captain John Alexander Robb, Cornelia Cheney, Delegates, Eliakim Tupper Robb, He, His, John, Jr, June, Maryland House, Meigs, Montgomery, New York, New York City, Nova Scotia. Use these groups to spot repeated connection types before inspecting the individual relationships.
John A. Robb
Top relations
related to Career· 34
John A. Robb → Abolitionist Frederick Douglass, After, At, Baltimore, Baltimore Clippers, Brazil, Chapelle, Chesapeake Bay, Clara, Co, Douglass, During, East Baltimore, Eckford's, Fell's Point, Fells Point, Henry Eckford, Howard, In New York, It
related to Early life· 24
John A. Robb → Abigail Tupper, Another, Archbold, Baltimore City Register, Canada, Captain John Alexander Robb, Cornelia Cheney, Delegates, Eliakim Tupper Robb, He, His, John, Jr, June, Maryland House, Meigs, Montgomery, New York, New York City, Nova Scotia
related to Further reading· 12
John A. Robb → Biography, Century Naval Architecture, Fells Point, Footner, Geoffrey, His Work, John, Nautical Research Journal, OCLC, Robb, Shipbuilder, Study
related to Death· 11
John A. Robb → Baltimore, Green Mount Cemetery, He, January, John, Maryland, Philadelphia, Rev, Robb, Rodman, The
Born· 1
John A. Robb → John Alexander Robb (1792-06-01)June 1, 1792 Colony of Nova Scotia
Children· 1
John A. Robb → 8
Died· 1
John A. Robb → January 28, 1867(1867-01-28) (aged 74) Baltimore, Maryland, U.S.
Occupation· 1
John A. Robb → Shipbuilder
Resting place· 1
John A. Robb → Green Mount Cemetery
Spouse· 1
John A. Robb → Cornelia Cheney
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
John A. Robb relationships Subject–Predicate–Object triples
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 John A. Robb. Examples in this analysis include John A. Robb → Born → John Alexander Robb (1792-06-01)June 1, 1792 Colony of Nova Scotia and John A. Robb → Children → 8. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
John A. Robb
Born
John Alexander Robb (1792-06-01)June 1, 1792 Colony of Nova Scotia
1.00
infobox
John A. Robb
Children
8
1.00
infobox
John A. Robb
Died
January 28, 1867(1867-01-28) (aged 74) Baltimore, Maryland, U.S.
1.00
infobox
John A. Robb
Occupation
Shipbuilder
1.00
infobox
John A. Robb
Resting place
Green Mount Cemetery
1.00
infobox
John A. Robb
Spouse
Cornelia Cheney
1.00
infobox
John A. Robb
related to Career
In New York
0.60
section
John A. Robb
related to Career
John
0.60
section
John A. Robb
related to Career
Robb
0.60
section
John A. Robb
related to Career
Henry Eckford
0.60
section
John A. Robb
related to Career
Eckford's
0.60
section
John A. Robb
related to Career
During
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 John A. Robb bring nearby vocabulary together. In this analysis, examples include Maryland, Douglass and Point. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
John A. Robb
Maryland
Douglass
Point
Son
One
Shipbuilder
Boat
Became
Baltimore
Pilot
Steam
Years
john a. robb
Built
Maryland
Shipyard
Douglass
New
Point
Son
One
Shipbuilder
Boat
Became
York
fell's point, baltimore
Became
Maryland
Shipbuilder
Shipyard
Robb
Died
Douglass
Clippers
January
Boats
Packet
Point
baltimore
Became
Maryland
Shipyard
Robb
Died
Clippers
January
Packet
Point
Shipbuilder
Built
John
east baltimore
Became
Maryland
Shipyard
Robb
Died
Clippers
January
Packet
Point
Shipbuilder
Built
John
shipbuilder
19th-century
Point
Alexander
January
June
Died
One
Baltimore
John
Robb
Became
new york city
New
York
Boat
Built
Robb
Pilot
Years
Company
Steamship
John
pacific mail steamship company
Steam
Steamship
Packet
Pulaski
Boat
Son
Maryland
York
New
Robb
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 John A. Robb, one of the stronger structural bridges in this analysis connects John A. Robb with Career. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
John A. Robb — Career· splits 27 ⟂ 21John A. Robb — Overview· splits 36 ⟂ 12John A. Robb — Early life· splits 37 ⟂ 11John A. Robb — Death· splits 45 ⟂ 3
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
John A. Robb
Nodes48
Edges47
Triples87
Avg. degree1.96
Density0.041667
Components1
Source & methodology
TTTA analyzes the structure around John A. Robb to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
