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OW2: History, Technology & Regions
OW2 is an independent non-profit international consortium dedicated to developing open-source software code infrastructure for middleware information systems. OW2 federates IT vendors and users, universities, and research centers from Europe, Asia, and the Americas, representing IT professionals.
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OW2 topic overview
The analysis highlights History, Technology and Regions as prominent areas in the source structure around OW2.
Related topics
25
Source areas
2
Connected nodes
27
Extracted relationships
60
Concept neighborhoods
14
Bridge connections
27
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.
Overview · 14 topics
History · 11 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.
Headquarters
Paris
CEO
Cédric Thomas
Formation
1 January 2007; 19 years ago (2007-01-01)
Legal status
Non-Profit
Members
Around 6000
Purpose
Open Source Software Development
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 OW2 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 OW2 shows recurring relationship patterns in the source. For example, OW2 → Aeronautics, All, Astronautics, Beihang University, Beijing University, Bull, Chinese Academy, CVIC Software Engineering Co, Defense Technology, Engineering, France Telecom, INRIA, Institute, Ltd, National University, ObjectWeb, OrientWare, Peking University, Red Hat, Sciences Another extracted example is OW2 → Archived, BI, Building, Building Beyond Europe, Cloud, Europe, France, French, January, June, March, May, Novembre, OW2 Consortium, Pourquoi, Wayback Machine. Use these groups to spot repeated connection types before inspecting the individual relationships.
OW2
Top relations
related to history· 22
OW2 → Aeronautics, All, Astronautics, Beihang University, Beijing University, Bull, Chinese Academy, CVIC Software Engineering Co, Defense Technology, Engineering, France Telecom, INRIA, Institute, Ltd, National University, ObjectWeb, OrientWare, Peking University, Red Hat, Sciences
related to Further reading· 16
OW2 → Archived, BI, Building, Building Beyond Europe, Cloud, Europe, France, French, January, June, March, May, Novembre, OW2 Consortium, Pourquoi, Wayback Machine
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 60 structured relationships around OW2. Examples in this analysis include OW2 → CEO → Cédric Thomas and OW2 → Formation → 1 January 2007; 19 years ago (2007-01-01). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
OW2
CEO
Cédric Thomas
1.00
infobox
OW2
Formation
1 January 2007; 19 years ago (2007-01-01)
1.00
infobox
OW2
Headquarters
Paris
1.00
infobox
OW2
Legal status
Non-Profit
1.00
infobox
OW2
Members
Around 6000
1.00
infobox
OW2
Purpose
Open Source Software Development
1.00
infobox
OW2
Staff
8 employees
1.00
infobox
OW2
Type
Consortium
1.00
infobox
OW2
Website
www.ow2.org
1.00
infobox
OW2
is a
independent non-profit international consortium dedicated to developing open-source software code infrastructure for middleware information systems
0.90
text
OW2
related to External links
Donation
0.60
section
OW2
related to Further reading
Building
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 OW2 bring nearby vocabulary together. In this analysis, examples include Projects, Code and Base. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
OW2
Projects
Code
Base
Activities
Archived
Europe
Founding
Gforge
Members
Middleware
Open
Ow2con
ow2
Projects
Code
Base
Activities
Archived
Europe
Founding
Gforge
Members
Middleware
Open
Ow2con
consortium
Independent
Middleware
Non-profit
Software
Code
Activities
Archived
Europe
Infrastructure
Members
Objectweb
Open
non-profit
Middleware
Consortium
Software
Code
Activities
Infrastructure
Members
Objectweb
Open
Open-source
Ow2con
Source
middleware
Non-profit
Software
Activities
Members
Objectweb
Open
Open-source
Ow2con
Source
Base
Hosting
Status
open-source software
Infrastructure
Middleware
Engineering
France
Software
Source
Technology
Status
Code
Project
Projects
Ow2
objectweb
Software
Engineering
France
Open
Ow2con
Source
Technology
Base
Status
Project
Projects
Ow2
open source
Source
Archived
France
Members
Objectweb
Ow2con
Base
Software
Status
Projects
Ow2
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 OW2, one of the stronger structural bridges in this analysis connects OW2 with Overview. 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.
OW2
Nodes28
Edges27
Triples60
Avg. degree1.93
Density0.071429
Components1
Source & methodology
TTTA analyzes the structure around OW2 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — OW2 · EN edition · Analysis: TopicsToTalkAbout
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