minimalKB 0.9

Installation

` $ git clone https://github.com/severin-lemaignan/minimalkb.git $ cd minimalkb $ python setup.py install $ minimalkb `

Run minimalkb –help for available options.

Features

### Server-Client or embedded

minimalKB can be run as a stand-alone (socket) server, or directly embedded in Python applications.

### Multi-models

minimalKB is intended for dynamic environments, with possibly several contexts/agents requiring separate knowledge models.

New models can be created at any time and each operation (like knowledge addition/retractation/query) can operate on a specific subset of models.

Each models are also independently classified by the reasoner.

### Event system

minimalKB provides a mechanism to subscribe to some conditions (like: an instance of a given type is added to the knowledge base, some statement becomes true, etc.) and get notified back.

### Reasoning

minimalKB only provides basic RDFS/OWL reasoning capabilities:

• it honors the transitive closure of the rdfs:subClassOf relation.

• functional predicates (child of owl:functionalProperty) are properly handled when updating the model (ie, if <S P O> is asserted with P a functional predicate, updating the model with <S P O’> will first cause <S P O> to be retracted).

• owl:equivalentClass is properly handled.

The reasoner runs in its own thread, and classify the model at a given rate, by default 5Hz. It is thus needed to wait ~200ms before the results of the classification become visible in the model.

### Transient knowledge

minimalKB allows to attach ‘lifespans’ to statements: after a given duration, they are automatically collected.

### Ontology walking

minimalKB exposes several methods to explore the different ontological models of the knowledge base. It is compatible with the visualization tool [oro-view](https://github.com/severin-lemaignan/oro-view).