Introduction The discovery of semantic relationships such as subsumption and dis-jointness is still a challenge in ontology matching [6]. Existing methods use logical reasoning over computed equivalence relationships or machine learning based on lex-ical and structural features of ontology elements [7, 3]. While these methods deliver good results for some cases, they are limited to the information contained in the inpu
Since the beginning of the evolution of Semantic Web in the late 90's, many different aspects of it ...
Information used in existing ontology matching solutions are usually grouped into four categories: l...
AbstractOntology is a new paradigm introduced with the semantic web to describe in an explicit and f...
We view matching as an operation that takes two graph-like structures (e.g., lightweight ontologies)...
Semantic interoperability is essential on the Semantic Web to enable different information systems t...
International audienceWhereas the ontology matching field has developed fully in the last decades, m...
AbstractIn this paper, a novel approach using Description Logic (DL) based inference rules, for onto...
Schema and ontology matching play an important part in the field of data integration and semantic we...
Semantic matching is a computational process that aims to automatically identify the semantic relati...
Matching operation Matching operation takes as input ontologies, each consisting of a set of discret...
Ontology matching can be defined as the process of discovering similarities between two ontologies, ...
The need of handling semantic heterogeneity of resources is a key problem of the Semantic Web. State...
Interoperability among systems using different term vocabularies requires some mapping between terms...
AbstractIn this paper, we propose a new solution to the ontology matching problem. The deduction of ...
Abstract. Semantic matching determines the mappings between the nodes of two graphs (e.g., ontologie...
Since the beginning of the evolution of Semantic Web in the late 90's, many different aspects of it ...
Information used in existing ontology matching solutions are usually grouped into four categories: l...
AbstractOntology is a new paradigm introduced with the semantic web to describe in an explicit and f...
We view matching as an operation that takes two graph-like structures (e.g., lightweight ontologies)...
Semantic interoperability is essential on the Semantic Web to enable different information systems t...
International audienceWhereas the ontology matching field has developed fully in the last decades, m...
AbstractIn this paper, a novel approach using Description Logic (DL) based inference rules, for onto...
Schema and ontology matching play an important part in the field of data integration and semantic we...
Semantic matching is a computational process that aims to automatically identify the semantic relati...
Matching operation Matching operation takes as input ontologies, each consisting of a set of discret...
Ontology matching can be defined as the process of discovering similarities between two ontologies, ...
The need of handling semantic heterogeneity of resources is a key problem of the Semantic Web. State...
Interoperability among systems using different term vocabularies requires some mapping between terms...
AbstractIn this paper, we propose a new solution to the ontology matching problem. The deduction of ...
Abstract. Semantic matching determines the mappings between the nodes of two graphs (e.g., ontologie...
Since the beginning of the evolution of Semantic Web in the late 90's, many different aspects of it ...
Information used in existing ontology matching solutions are usually grouped into four categories: l...
AbstractOntology is a new paradigm introduced with the semantic web to describe in an explicit and f...