Add to ORKGIn this paper we consider the problem of finding subconcepts of a known concept (reference concept) in a given ontology in the light of new knowledge coming from a data source. These subconcepts are discovered by looking for frequent association patterns between the reference concept and other concepts also occurring in the existing ontology. As an illustration, we report preliminary results obtained from the refinement of an ALC ontology with respect to DATALOG data extracted from the on-line CIA World Fact Book
We describe the automatic construction of a semantic network1, in which over 3000 of the most freque...
There is a huge body of domain-specific knowledge embedded in free-text repositories such as enginee...
This paper presents a novel semi-automatic approach to construct conceptual ontologies over structur...
In this paper we consider the problem of finding subconcepts of a known concept (reference concept) ...
This paper presents a novel approach to Conceptual Clustering in First Order Logic (FOL) which is ba...
Concept Formation is a unsupervised learning task usually decomposed into the two subtasks of cluste...
International audienceAmong the most powerful tools for knowledge representation, we cite the ontolo...
This paper deals with the ontology matching problem, and proposes a pattern mining approach that exp...
Abstract. The Web of Data is a rich common resource with billions of triples available in thousands ...
Abstract. Knowledge Patterns (KPs), and even more specifically Ontology De-sign Patterns (ODPs), are...
In the Semantic Web context, OWL ontologies represent the conceptualization of domains of interest w...
[[abstract]]The problem of mining association rules incorporated with domain knowledge (ontology) ha...
Abstract. Linked Open Data initiatives have made available a diversity of col-lections that domain e...
Abstract. Cluster-based similarity aggregation (CSA) is an automatic similarity aggregating system f...
Abstract. Improvements made to the algorithm COM of Olivares are presented. Such algorithm finds the...
We describe the automatic construction of a semantic network1, in which over 3000 of the most freque...
There is a huge body of domain-specific knowledge embedded in free-text repositories such as enginee...
This paper presents a novel semi-automatic approach to construct conceptual ontologies over structur...
In this paper we consider the problem of finding subconcepts of a known concept (reference concept) ...
This paper presents a novel approach to Conceptual Clustering in First Order Logic (FOL) which is ba...
Concept Formation is a unsupervised learning task usually decomposed into the two subtasks of cluste...
International audienceAmong the most powerful tools for knowledge representation, we cite the ontolo...
This paper deals with the ontology matching problem, and proposes a pattern mining approach that exp...
Abstract. The Web of Data is a rich common resource with billions of triples available in thousands ...
Abstract. Knowledge Patterns (KPs), and even more specifically Ontology De-sign Patterns (ODPs), are...
In the Semantic Web context, OWL ontologies represent the conceptualization of domains of interest w...
[[abstract]]The problem of mining association rules incorporated with domain knowledge (ontology) ha...
Abstract. Linked Open Data initiatives have made available a diversity of col-lections that domain e...
Abstract. Cluster-based similarity aggregation (CSA) is an automatic similarity aggregating system f...
Abstract. Improvements made to the algorithm COM of Olivares are presented. Such algorithm finds the...
We describe the automatic construction of a semantic network1, in which over 3000 of the most freque...
There is a huge body of domain-specific knowledge embedded in free-text repositories such as enginee...
This paper presents a novel semi-automatic approach to construct conceptual ontologies over structur...