Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
The DISER Lilith is a custom-built workstation computer based on the Advanced Micro Devices (AMD) 2901 bit-slicing processor, created by a group led by Niklaus Wirth at ETH Zurich. The project began in 1977, and by 1984 several hundred workstations were in use. It has a high-resolution full-page portrait oriented cathode-ray tube display, a mouse, a…
The analysis highlights History and Applications as prominent areas in the source structure around Lilith (computer).
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 Lilith (computer) shows recurring relationship patterns in the source. For example, Lilith (computer) → AMD 2901 Another extracted example is Lilith (computer) → ETH Zurich. 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.
lilith modula-2 system wirth computer workstation words operating mouse diser processor amd eth zurich 2901 16-bit based workstations named 65
TTTA extracted 18 structured relationships around Lilith (computer). Examples in this analysis include Lilith (computer) → CPU → AMD 2901 and Lilith (computer) → Developer → ETH Zurich. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Lilith (computer) | CPU | AMD 2901 | 1.00 | infobox |
| Lilith (computer) | Developer | ETH Zurich | 1.00 | infobox |
| Lilith (computer) | Dimensions | 15.5 in × 15 in × 14.5 in (39 cm × 38 cm × 37 cm) | 1.00 | infobox |
| Lilith (computer) | Discontinued | Yes | 1.00 | infobox |
| Lilith (computer) | Display | 12 in (30 cm) monochrome bitmapped | 1.00 | infobox |
| Lilith (computer) | Introductory price | $8000 | 1.00 | infobox |
| Lilith (computer) | Manufacturer | Modula Computer Systems | 1.00 | infobox |
| Lilith (computer) | Marketing target | Research | 1.00 | infobox |
| Lilith (computer) | Media | Floppy disk 5.25 in (13.3 cm) 140 K | 1.00 | infobox |
| Lilith (computer) | Memory | 256 K (131,072 16-bit words) | 1.00 | infobox |
| Lilith (computer) | Operating system | Medos-2 (Modula-2) | 1.00 | infobox |
| Lilith (computer) | Product family | Wirth | 1.00 | infobox |
| Lilith (computer) | Released | 1980; 46 years ago (1980) | 1.00 | infobox |
| Lilith (computer) | Storage | 15 MB hard disk | 1.00 | infobox |
| Lilith (computer) | Successor | Ceres | 1.00 | infobox |
| Lilith (computer) | Type | workstation | 1.00 | infobox |
| Lilith (computer) | Units shipped | 120 | 1.00 | infobox |
| Lilith (computer) | Units sold | 120 | 1.00 | infobox |
The concept neighborhoods around Lilith (computer) bring nearby vocabulary together. In this analysis, examples include Diser, Lilith and Wirth. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Lilith (computer), one of the stronger structural bridges in this analysis connects Lilith (computer) with Overview. 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 Lilith (computer) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Lilith (computer) · EN edition · Analysis: TopicsToTalkAbout