Research this topic
Explore the main themes, entities and connections around Storage Dimensions. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Explore this topic
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
History
Overview
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
- Founded
- 1985; 41 years ago (1985) in Los Gatos, California, United States
- Founders
- David A. Eeg · Gene E. Bowles
- Defunct
- April 1998; 28 years ago (1998-04)
- Fate
- Merged with Artecon, Inc.
- Parent
- Maxtor (1987–1992)
- Products
- Data storage hardware and software
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
- Milpitas, California
- Data storage
- Magnetic-tape Magnetic-tape data storage
- Hard-drive Hard disk drive
- Disk utility
- MS-DOS
- Windows Microsoft Windows
- Maxtor
History
- Los Gatos, California
- Atasi Corporation
- San Jose San Jose, California
- Tandon Tandon Corporation
- IBM Personal Computer AT
- Compatibles IBM PC–compatible
- BIOS
- Award Software
- CAD/CAM
- Minicomputers Minicomputer
- Unix workstations Unix workstation
- File servers File server
- Novell
- NetWare
- RAID
- Network storage management software Network management software
Advanced semantic analysis
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.Storage Dimensions
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
Storage Dimensions
Top relations
Important terminology Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Important terminology
storage company maxtor dimensions software 1987 inc california speedstor disk founded 1985 1998 1992 based subsystems eeg bowles products data
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Storage Dimensions | Defunct | April 1998; 28 years ago (1998-04) | 1.00 | infobox |
| Storage Dimensions | Fate | Merged with Artecon, Inc. | 1.00 | infobox |
| Storage Dimensions | Founded | 1985; 41 years ago (1985) in Los Gatos, California, United States | 1.00 | infobox |
| Storage Dimensions | Founders | David A. Eeg | 1.00 | infobox |
| Storage Dimensions | Founders | Gene E. Bowles | 1.00 | infobox |
| Storage Dimensions | Parent | Maxtor (1987–1992) | 1.00 | infobox |
| Storage Dimensions | Products | Data storage hardware and software | 1.00 | infobox |
| Storage Dimensions | Type | Public | 1.00 | infobox |
| Storage Dimensions | Website | storagedimensions.com at the Wayback Machine (archived 1996-12-05) | 1.00 | infobox |
| CAD/CAM | instance of | allowing these computers to install graphics-heavy applications | 0.80 | text |
| illustration software packages which were previously the domain of expensive minicomputers | instance of | allowing these computers to install graphics-heavy applications | 0.80 | text |
| Unix workstations.Storage Dimensions continued to consult Maxtor for succeeding products | instance of | allowing these computers to install graphics-heavy applications | 0.80 | text |
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.