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ProQuest LLC is an Ann Arbor, Michigan-based global information-content and technology company, founded in 1938 as University Microfilms by Eugene Power.
History, Technology, Measurement & Companies
Explore the main themes, entities and connections around ProQuest. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| ProQuest | Founded | 1938; 88 years ago (1938) as University Microfilms | 1.00 | infobox |
| ProQuest | Founder | Eugene Power | 1.00 | infobox |
| ProQuest | Headquarters | Ann Arbor, Michigan, US | 1.00 | infobox |
| ProQuest | Industry | Information and data provider | 1.00 | infobox |
| ProQuest | Key people | Andy Snyder (chairman) | 1.00 | infobox |
| ProQuest | Key people | Matti Shem-Tov (CEO) | 1.00 | infobox |
| ProQuest | Key people | Robert VanHees (CFO) | 1.00 | infobox |
| ProQuest | Parent | Cambridge Information Group (2006–2021) | 1.00 | infobox |
| ProQuest | Parent | Clarivate (2021–present) | 1.00 | infobox |
| ProQuest | Type | Subsidiary | 1.00 | infobox |
| ProQuest | Website | www.proquest.com | 1.00 | infobox |
| patron-driven acquisition.ebrary was an online digital library that offered access to ebook collections | instance of | corporate and research libraries while supporting emerging collection development models | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.