Semantic Technologies

Category for grouping various semantic engines, implementations of ontologies, standards, design patterns, etc.

In software, semantic technology encodes meanings separately from data and content files, and separately from application code.

This enables machines as well as people to understand, share and reason with them at execution time. With semantic technologies, adding, changing and implementing new relationships or interconnecting programs in a different way can be just as simple as changing the external model that these programs share.

Technical Aspects

The "Semantic Technologies" category cuts across language-level barriers and allows comparisons between environments, if any. Java plays a big role in this arena, maybe as an engine connected to a messaging backplate and running on a single specialized machine, consuming 1GB or more ! ( PyWacket is supposed to be light-footed ).

A Python implementation would be smaller, might be faster and all-in-all much better from a pythonic standpoint. Certainly basic RDF parsing/generating is well covered, but what about the relational inferencing part ? Not just in running it, but even editing it ... some sort of truth maintenance is needed for a very grisly 'relational' data structure.


Also See






Last modified 4 weeks ago Last modified on 11/14/2017 12:57:24 PM