The Simple Set Core project is about a set engine. Aim of this set engine is to recognize ("identify") items -- sets of features -- by only some of their features, to store these items and their features recursively as directed graphs, and to reorganize these graphs so that as well implicit items/features become visible as the graph as a whole becomes less dense, thus more easy to handle.
Background
The set engine is part of a larger project, the Model of Meaning. Its approach is that notions ("meanings") consist of smaller notions (or raw data like "light sensed"). Different but common approaches, the Model of Meaning drops the familiar "is a" relationship between things: The assumption of the model is that, despite a car
is a kind of a vehicle, a vehicle is
a part of the car. -- At first glance this is hard to comprehend, but isn't it so that you are just
thinking of the car and the vehicle? Then, both are not physical, thus there is no physical problem of "cramming" a just imagined vehicle within a car. Which also is just imagination.
Benefit For The Web
Having the Model of Meaning in mind, the set engine alone can do the web a big service: If tags would be related to other tags by "is part of" relationships, first, the tagging folks could quit to mention implications, second, the people searching for content could get the matching content even when looking for low level implications of the very content.
Perspective
Also, if there is a way to recognize items by just parts of their features, tag graphs could be integrated with each other, automatically, simply because the items mentioned in the graphs could be recognized by their features also; and, dropping the tags, replacing them by notion identifiers ("IDs") where the tags become attached to, maybe that could overcome even the language barrier, once and for all.
Updates: none so far
items being given, e.g. signalled by sensors.
