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AskSam, (stylized as askSam, which stood for "Access Stored Knowledge via Symbolic Access Method" ) from AskSam Systems, was a "free form" database desktop application that competed with a number of other personal information manager (PIM) applications. It was used for organizing disparate information such as email messages, documents, text files…
History & Overview
Explore the main themes, entities and connections around AskSam. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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information also systems database personal manager applications files web released chandler myinfo versions publisher like stylized stood access stored knowledge
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| email messages | instance of | It was used for organizing disparate information | 0.80 | text |
| documents | instance of | It was used for organizing disparate information | 0.80 | text |
| text files | instance of | It was used for organizing disparate information | 0.80 | text |
| spreadsheets | instance of | It was used for organizing disparate information | 0.80 | text |
| addresses | instance of | It was used for organizing disparate information | 0.80 | text |
| web pages into dynamic folders | instance of | It was used for organizing disparate information | 0.80 | text |
| and allowing these to be easily searched | instance of | It was used for organizing disparate information | 0.80 | text |
| and the results exported to spreadsheets or as a report.The last version was AskSam 7 | instance of | It was used for organizing disparate information | 0.80 | text |
| released in July 2008 | instance of | It was used for organizing disparate information | 0.80 | text |
| AskSam | related to history | The Florida | 0.60 | section |
| AskSam | related to history | AskSam Systems | 0.60 | section |
| AskSam | related to history | Perry | 0.60 | section |
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.