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Accursius: Biography, Recognition & Family
Accursius (Italian: Accursio or Accorso di Bagnolo; c. 1182 – 1263) was an Italian jurist. He is notable for his organization of the glosses, the medieval comments on Justinian's codification of Roman law, the Corpus Juris Civilis. He was not proficient in the classics, but he was called "the Idol of the Jurisconsults".
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Accursius topic overview
The analysis highlights Biography, Recognition and Family as prominent areas in the source structure around Accursius.
Related topics
25
Source areas
4
Connected nodes
29
Extracted relationships
71
Concept neighborhoods
12
Bridge connections
29
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.
Biography · 9 topics
Overview · 7 topics
Recognition · 6 topics
Family · 3 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 Accursius 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 Accursius shows recurring relationship patterns in the source. For example, Accursius → After, Azo, Bologna, Code, Corpus Iuris, Denis Godefroy, Digests, Florence, Gloss, Glossa, Great Gloss, He, Impruneta, Indeed, Institutes, Lyon, Odofred, The, This, While Accursius Another extracted example is Accursius → Aaron, ACCORSO, Albertucci, Bagnolo, Dizionario Biografico, Enciclopedia Italiana, Fiorelli, Francesco Accorso, Istituto, Italian, Italiani, OCLC, ParalipomenaIuris, Piero, Rome, Vol, Works. Use these groups to spot repeated connection types before inspecting the individual relationships.
Accursius
Top relations
related to Biography· 20
Accursius → After, Azo, Bologna, Code, Corpus Iuris, Denis Godefroy, Digests, Florence, Gloss, Glossa, Great Gloss, He, Impruneta, Indeed, Institutes, Lyon, Odofred, The, This, While Accursius
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 71 structured relationships around Accursius. Examples in this analysis include Accursius → related to Biography → Impruneta and Accursius → related to Biography → Florence. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Accursius
related to Biography
Impruneta
0.60
section
Accursius
related to Biography
Florence
0.60
section
Accursius
related to Biography
Azo
0.60
section
Accursius
related to Biography
Bologna
0.60
section
Accursius
related to Biography
He
0.60
section
Accursius
related to Biography
Code
0.60
section
Accursius
related to Biography
Institutes
0.60
section
Accursius
related to Biography
Digests
0.60
section
Accursius
related to Biography
This
0.60
section
Accursius
related to Biography
Glossa
0.60
section
Accursius
related to Biography
Great Gloss
0.60
section
Accursius
related to Biography
While Accursius
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 Accursius bring nearby vocabulary together. In this analysis, examples include Bagnolo, Di and Glossator. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Accursius
Bagnolo
Di
Glossator
Public
Accorso
Francesco
Glossa
Ordinaria
Work
Glosses
Also
Body
accursius
Bagnolo
Di
Glossator
Public
Accorso
Francesco
Glossa
Ordinaria
Work
Glosses
Also
Body
corpus juris civilis
Civilis
Corpus
Iuris
Glosses
Law
Comments
Gloss
Public
Century
Ed
Even
Francesco
basilica of san francesco, bologna
One
Iuris
Near
Public
Ed
Glossa
Great
Legend
Ordinaria
Francesco
Glosses
Later
glosses
Civilis
Corpus
Accursius'
Body
Iuris
Public
Ed
Francesco
Glossa
Ordinaria
Work
Law
roman law
Corpus
Gloss
Century
Civilis
Comments
Even
Given
Great
Iuris
Bologna
Glosses
Accursius'
glossa ordinaria
Ordinaria
Gloss
Edition
Great
Iuris
Lyon
Public
Ed
Francesco
Glosses
Accursius'
bologna
One
Great
Legend
Near
Public
Francesco
Later
Work
Law
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 Accursius, one of the stronger structural bridges in this analysis connects Accursius with Biography. 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.
Accursius
Nodes30
Edges29
Triples71
Avg. degree1.93
Density0.066667
Components1
Source & methodology
TTTA analyzes the structure around Accursius to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Biography, Recognition & Family, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
