KCE Live
The Key Concepts Extraction Environment for OWL ontologies

The Key-Concepts Extraction Environment for OWL ontologies is an online service based on the Key-Concepts Extration Tools. This service automatically extracts the most representative classes of an ontology.

In particular, given an ontology and an integer n, it extracts the n concepts, which can be considered as best descriptors of the ontology: the key concepts. Obviously there is no formal definition of what is a key concept. For this reason, this service use the notion of key concept given in Peroni et al. (2008). Identifying key concepts in an ontology, through the integration of cognitive principles with statistical and topological measures, where the authors define a method for the key concept extraction able to generate results that match as closely as possible those produced by human experts.

In the current version of our tool it is used both the notion of natural categories, which aims to identify concepts that are information-rich in a psycho-linguistic sense, the notion of density, which highlights concepts which are information-rich in an ontological sense. In addition, it is also used a coverage criterion, to ensure that no important part of the ontology is ignored in the resulting selection.

The following pseudo-URL describes the way to call the service:

http://www.essepuntato.it/kce/optional-parameters/ontology-url

where:

www.essepuntato.it/kce

is the URL to call the service.

ontology-url

is the full http://... URL of the OWL ontology that will be processed by the service. It must be always the last item in the pseudo-URL, and may be preceded by one or more (slash-separated) parameters.

optional slash-separated parameters:

imported

When this optional parameter is specified, the axioms of the imported ontologies of ontology-url are considered for the computation.

html

The result will be returned in HTML.

xml

The result will be returned in XML.

csv

The result will be returned in CSV (it is the default).

number=XXX

When this optional parameter is specified, the specified number of key concept will be extracted (default: 20).

Some examples

About the author

Silvio Peroni is a Ph.D. student from the University of Bologna. He maintains a blog about his research.