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HTML+TIME (Timed Interactive Multimedia Extensions) was the name of a W3C submission from Microsoft, Compaq/DEC and Macromedia that proposed an integration of SMIL semantics with HTML and CSS. The specifics of the integration were modified considerably by W3C working groups, and eventually emerged as the W3C Note XHTML+SMIL. The submission also proposed…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around HTML+TIME.
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.
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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.
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See recurring relationship patterns around HTML+TIME before inspecting the individual extracted relationships.
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smil w3c html microsoft time submission note proposed integration modified also xhtml macromedia css timed interactive multimedia extensions name compaq
TTTA extracted structured relationships around HTML+TIME. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
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The concept neighborhoods around HTML+TIME bring nearby vocabulary together. In this analysis, examples include Microsoft, Time and W3c. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the HTML+TIME map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around HTML+TIME to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — HTML+TIME · EN edition · Analysis: TopicsToTalkAbout