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Open Mind Common Sense (OMCS) is an artificial intelligence project based at the Massachusetts Institute of Technology (MIT) Media Lab whose goal is to build and utilize a large commonsense knowledge base from the contributions of many thousands of people across the Web. It has been active from 1999 to 2016.
The analysis highlights History, Art and Technology as prominent areas in the source structure around Open Mind Common Sense.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Open Mind Common Sense shows recurring relationship patterns in the source. For example, Open Mind Common Sense → ConceptNet, Cyc, DBpedia, English, Freebase, Hugo Liu, Learner, Mindpixel, Never-Ending Language Learning, Open Mind, Other, Questions, Sense, SenticNet, The Open Mind Common, WordNet, YAGO Another extracted example is Open Mind Common Sense → Advanced Interaction Laboratory, Brazil, Computing Initiative's Webpage, Emotional, GithubConceptNetAnalogySpaceThe Divisi, Legacy, Mind Common Sense, OMCSNet, OMCSNetCPP, Open, Open Heart Common Sense, Site, The Open Mind Initiative. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
conceptnet knowledge omcs common sense open mind database project web language using mit learning media natural people analogyspace projects havasi
TTTA extracted 32 structured relationships around Open Mind Common Sense. Examples in this analysis include ConceptNet → instance of → structured knowledge bases and Open Mind Common Sense → related to Comparison to other projects → Other. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| ConceptNet | instance of | structured knowledge bases | 0.80 | text |
| and combinations of the two | instance of | structured knowledge bases | 0.80 | text |
| Open Mind Common Sense | related to Comparison to other projects | Other | 0.60 | section |
| Open Mind Common Sense | related to Comparison to other projects | Never-Ending Language Learning | 0.60 | section |
| Open Mind Common Sense | related to Comparison to other projects | Mindpixel | 0.60 | section |
| Open Mind Common Sense | related to Comparison to other projects | Cyc | 0.60 | section |
| Open Mind Common Sense | related to Comparison to other projects | Learner | 0.60 | section |
| Open Mind Common Sense | related to Comparison to other projects | SenticNet | 0.60 | section |
| Open Mind Common Sense | related to Comparison to other projects | Freebase | 0.60 | section |
| Open Mind Common Sense | related to Comparison to other projects | YAGO | 0.60 | section |
| Open Mind Common Sense | related to Comparison to other projects | DBpedia | 0.60 | section |
| Open Mind Common Sense | related to Comparison to other projects | Open Mind | 0.60 | section |
The concept neighborhoods around Open Mind Common Sense bring nearby vocabulary together. In this analysis, examples include Open, Sense and Common. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Open Mind Common Sense, one of the stronger structural bridges in this analysis connects Open Mind Common Sense with Comparison to other projects. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Open Mind Common Sense to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Open Mind Common Sense · EN edition · Analysis: TopicsToTalkAbout