Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
d3web is a free, open-source platform for knowledge-based systems (expert systems). Its core is written in Java using XML and/or Office-based formats for the knowledge storage. All of its components are distributed under the terms of the Lesser General Public Licence (LGPL).
The analysis highlights Applications, Related systems and Application Domains as prominent areas in the source structure around D3web.
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 D3web shows recurring relationship patterns in the source. For example, D3web → Additionally, Developed, Dialog2, It, Java Server Faces, JSPWiki, Knowledge Modelling Environment, Knowledge Wiki Environment, KnowME, KnowWE, OEM, OWL, Problem-solving, The Another extracted example is D3web → As, D3, Dr, Frank Puppe, Germany, Java, LISP, MED1, MED2, Prof, The, University Würzburg, Whereas. 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.
knowledge systems java components using application system knowledge-based platform problem-solving software applications core lgpl used medical rule expert embedded oem
TTTA extracted 39 structured relationships around D3web. Examples in this analysis include D3web → Developer → various and D3web → License → LGPL. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| D3web | Developer | various | 1.00 | infobox |
| D3web | License | LGPL | 1.00 | infobox |
| D3web | Operating system | Cross-platform | 1.00 | infobox |
| D3web | Stable release | 11.0 / July 2016 | 1.00 | infobox |
| D3web | Type | Knowledge-based systems | 1.00 | infobox |
| D3web | Website | d3web | 1.00 | infobox |
| D3web | Written in | Java | 1.00 | infobox |
| D3web | is a | free | 0.90 | text |
| D3web | is a | full Java re-implementation | 0.90 | text |
| D3web | related to Application Domains | The | 0.60 | section |
| D3web | related to Components | The | 0.60 | section |
| D3web | related to Components | KnowWE | 0.60 | section |
The concept neighborhoods around D3web bring nearby vocabulary together. In this analysis, examples include Using, Knowledge and Applications. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For D3web, one of the stronger structural bridges in this analysis connects D3web 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 D3web to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Related systems & Application Domains, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — D3web · EN edition · Analysis: TopicsToTalkAbout