Algorithm of concept map transformation to ontology for usage in intelligent knowledge assessment system

Ontology merging in the context of concept maps

“…The algorithm for a concept map transformation into the ontology should determine the type of relation between concepts and based on the type it should be identified which ontology elements correspond to related concepts [12]. The mechanism build-in the algorithm determines the type of concepts, i.e., it has information how to determine type of relation and ontology elements from the name of link.…”

“…4 schematically it is shown that exactly linking phrases determine the type of related concepts and only semantic (linguistic) and "part-whole" relations are directly transformable into object properties. [12] In a concept map it is possible to determine the following types of relations [12]:  the hierarchal relation, where two classes are related with linking phrases "is a", "is a subclass of", "is a subset of";  the instance relation, where a class is related to an instance with linking phrases "is an instance of", "is an example";  the whole-part relation where two classes are related with the linking phrase "is a part of";  the hierarchal kind relation, where two classes are related with the linking phrase "is a kind of";  the property relation, where a class or an instance is related to a property with linking phrases "characterises", "has a property", "has a property (object-property)";  the value relation, where a property is related to its value with the linking phrase "has a value";  the compliment relation where two classes are related with the linking phrase "not";  the semantic or linguistic relation, where two classes or instances are related with any other linking phrase. The algorithm for a concept map transformation into an ontology consists of 7 steps [12] during which all elements of a concept map are handled to determine their correspondence to ontology elements and made appropriate ontology constructions.…”

Knowledge acquisition method for virtual learning environment

“…Correspondence between elements of the concept maps and main elements of Web Ontology Language (OWL) ontology are shown in Table 1. A concept in the CM can correspond to a class, an instance, a datatype property and its value in the OWL ontology depending on the linking phrase which relates two concepts [14]. The linguistic and "part-whole" linking phrases correspond to the object property in the ontology.…”

“…The linguistic and "part-whole" linking phrases correspond to the object property in the ontology. [14]). …”

“…Datatype property Property (of datatype) value Graudina V. Grundspenkis J. in [14] presents algorithm of Concept Map transformation to ontology.…”