Ontologies

= Domain ontologies =

Organic agriculture ontology
This ontology is an outcome of the Organic.Edunet project.

The Organic Agriculture Ontology reuses previous efforts including AGROVOC and other FAO ontologies.

Knowledge Management ontology
This KM Ontology captures an abstract account of the discipline of Knowledge Management, based in the ontology of Holsapple and Joshi (2004).

The ontology provides a general account of knowledge work. It can be used as a reference framework to map other ontologies that describe activities, their agents and their products (in terms of information objects and human capacities).

Service ontology
Services have been defined as "the application of specialized competences (knowledge and skills), through deeds, processes, and performances for the benefit of another entity or the entity itself". LUSCH & VARGO, “The Service-Dominant Logic of Marketing.” (Armonk, NY: ME Sharpe. 2006).

The Service Ontology provides an abstract account of service offerings, types and the main interaction characteristics.

Formal axiology ontology
Formal axiology is a sub--discipline of moral philosophy that deals with structural and conceptual issues about value and value concepts. This set of ontological schemas follow ideas found on Robert S. Hartman's formal axiology, but they are intended to be generic enough to acommodate different definition of values.

Instructional theories
Instructional theories have been defined as practice-oriented theories offering explicit guidance on how to help people learn that offer situation-specific methods. The ontology of instructional theories developed here features the modeling of the part of these theories that can be formalized in a combination of OWL+SWRL.

The ontology includes:
 * A minimalistic ontology to express instructional design process models as ADDIE. Ontologies:Instructional_Design_Process.
 * A basic model of instructional design theories.
 * A basic model of learning objective types.
 * Example cases of instructional design.

It builds on existing ontolgies of IEEE LOM and IMS LD.

Infrastructure independency analysis
Infrastructure independency analysis is concerned with the modeling and assessment of critical interdependent infrastructures. Critical infrastructure systems such as electric power, water distribution, transportation and telecommunications currently form highly interdependent networks, and vulnerability crosscuts that complex interrelated infrastructure.

Interdependent infrastructures share some basic interaction model. The Basic Formal Infrastructure Incident Assessment Ontology (BFiaO) is an upper model for such interdependent infrastructures.

= Mappings of specs& standards to ontology languages =

ISAD(G) OWL mapping
=References =

Holsapple, C. Joshi, K. (2004) A formal knowledge management ontology: Conduct, activities, resources, andinfluences. JASIST 55(7), pp. 593-612.