Unlimited Complexity
[Missing Section] This post is part of a comprehensive introduction into SRDM, graph languages and Havel. Continue reading:...
Universal Modularity
[Missing Section] This post is part of a comprehensive introduction into SRDM, graph languages and Havel. Continue reading: Unlimited...
Global Semantics, Human Language Independence and Automatic Translations
Havel is based on globally unique, numeric identifiers, not on text. Many Havel-expressions do not need any text in order to be...
Automatic Information Merging
[Missing Section] This post is part of a comprehensive introduction into SRDM, graph languages and Havel. Continue reading: Global...
Remarkable Features
Semantic graph languages allow for language features that are difficult to implement using traditional technology. Here is a list of some...
Interpretable Information
Many information in the real world depend on context and are open to interpretation. For example, the exchange rate between two...
Dynamic Expressiveness
Structured data is not dynamically expressive and so are not our applications and digital communications. For example, if a contact in...
Information Modelling
If we want to store an information digitally, we have more or less two possibilities: If there is an app that is prepared for the type of...
Universal Computer Language
Traditional computer languages tend to have one major purpose. For example Java, C++, JavaScript, etc. are programming languages; their...
Universal Knowledge Base
Another consequence of the “semantic problem” is that it is very difficult to build reusable, universal digital knowledge bases. In order...
