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CourseInfo: Companies, Art, Technology & Products
CourseInfo LLC, one of the two companies forming Blackboard Inc. was founded in 1997 by Daniel Cane and Stephen Gilfus while at Cornell University. They joined together to officially form the partnership known as CourseInfo and developed the company into a small course management software provider. The product at the time was called the Teachers Toolbox.…
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CourseInfo topic overview
The analysis highlights Companies, Art, Technology and Products as prominent areas in the source structure around CourseInfo.
Related topics
15
Source areas
4
Connected nodes
19
Extracted relationships
73
Concept neighborhoods
11
Bridge connections
19
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.
Product development · 7 topics
Overview · 4 topics
Company formation · 3 topics
Blackboard overview · 1 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.
Founded
Ithaca, N.Y. 1997
Industry
Educational Software
Headquarters
Ithaca, N.Y., United States
Area served
USA
Fate
Merged with Blackboard Inc in 1997
Founder
Daniel Cane, Stephen Gilfus
Suggested research paths
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 CourseInfo 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 CourseInfo shows recurring relationship patterns in the source. For example, CourseInfo → Access, Blackboard's, Blackboard's CourseInfo, Cane, Cornell University, CourseInfo Enterprise Edition, Generator, Gilfus, Guest, ILN, In, Interactive Learning Network, July, Much, MySQL, Netscape, October, On April, On January, On November Another extracted example is CourseInfo → As, Blackboard, Blackboard CourseInfo, Blackboard Inc, Blackboard LLC, Cane, Cornell University, CourseInfo LLC, Gilfus, IMS Global Learning Consortium, In, It, January, June, Matthew Pittinsky, Michael Chasen, Originally, Providence Equity Partners, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
CourseInfo
Top relations
related to Product development· 26
CourseInfo → Access, Blackboard's, Blackboard's CourseInfo, Cane, Cornell University, CourseInfo Enterprise Edition, Generator, Gilfus, Guest, ILN, In, Interactive Learning Network, July, Much, MySQL, Netscape, October, On April, On January, On November
related to overview· 19
CourseInfo → As, Blackboard, Blackboard CourseInfo, Blackboard Inc, Blackboard LLC, Cane, Cornell University, CourseInfo LLC, Gilfus, IMS Global Learning Consortium, In, It, January, June, Matthew Pittinsky, Michael Chasen, Originally, Providence Equity Partners, The
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 73 structured relationships around CourseInfo. Examples in this analysis include CourseInfo → Area served → USA and CourseInfo → Fate → Merged with Blackboard Inc in 1997. The table shows each extracted connection, where it came from and its confidence.
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 CourseInfo bring nearby vocabulary together. In this analysis, examples include Llc, Blackboard and Founded. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
CourseInfo
Llc
Blackboard
Founded
Management
Software
Course
Gilfus
Cane
Company
Partnership
E-learning
First
courseinfo
Llc
Blackboard
Founded
Management
Software
Course
Gilfus
Cane
Company
Partnership
E-learning
First
blackboard inc.
Inc
Daniel
Gilfus
Founded
Known
Stephen
Two
Courseinfo
Llc
Cane
Company
Companies
daniel cane
Stephen
Gilfus
Inc
One
Daniel
Founded
Ithaca
Two
University
Early
Llc
Web
cornell university
Cornell
University
Early
Llc
One
Companies
Daniel
Released
Technology
Web
Course
Founded
blackboard overview
Inc
Founded
Two
Courseinfo
Llc
Gilfus
Cane
Company
Companies
Daniel
Ithaca
Known
university of pittsburgh
Cornell
Llc
Companies
Daniel
One
Released
Founded
Iln
Interactive
Network
Stephen
Two
stephen gilfus
Stephen
Inc
Llc
Management
Partnership
Product
Interactive
Ithaca
Network
Teachers
Toolbox
Two
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 CourseInfo, one of the stronger structural bridges in this analysis connects CourseInfo with Product development. 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.
CourseInfo
Nodes20
Edges19
Triples73
Avg. degree1.9
Density0.1
Components1
Source & methodology
TTTA analyzes the structure around CourseInfo to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Art, Technology & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
