Abstract In this paper, we present a heuristic mapping method and a prototype mapping system that support the process of semi-automatic ontology mapping for the purpose of improving semantic interoperability in heterogeneous systems. The approach is based on the idea of semantic enrichment, i.e., using instance information of the ontology to enrich the original ontology and calculate similarities between concepts in two ontologies. The functional settings for the mapping system are discussed and the evaluation of the prototype implementation of the approach is reported
Ontology mapping aims to solve the semantic heterogeneity problems such as ambiguous entity names, d...
Ontology is increasingly seen as a key factor for enabling interoperability across heterogeneous sys...
Ontology is increasingly seen as a key factor for enabling interoperability across heterogeneous sys...
In this paper, we present a heuristic mapping method and a prototype mapping system that support the...
Ontology mapping is becoming a crucial aspect in providing the background knowledge required for sol...
The World Wide Web (WWW) now is widely used as a universal medium for information exchange. Semantic...
Ontology mapping is becoming a crucial aspect in providing the background knowledge required for sol...
National audienceOntology is increasingly seen as a key factor for automatic processing of machines,...
The widespread adoption of the semantic web and information technologies has led to the development ...
International audienceOntology is increasingly seen as a key factor for automatic processing of mach...
The problem of ontology mapping has attracted considerable attention over the last few years, as the...
Ontologies allow machines to understand data and process information in the semantic web. However, b...
This paper proposes a domain independent method for handling interoperability problems by learning a...
International audienceOntology mapping is becoming a crucial aspect in providing the background know...
This paper describes a system for automatically mapping between concepts in different ontologies. Th...
Ontology mapping aims to solve the semantic heterogeneity problems such as ambiguous entity names, d...
Ontology is increasingly seen as a key factor for enabling interoperability across heterogeneous sys...
Ontology is increasingly seen as a key factor for enabling interoperability across heterogeneous sys...
In this paper, we present a heuristic mapping method and a prototype mapping system that support the...
Ontology mapping is becoming a crucial aspect in providing the background knowledge required for sol...
The World Wide Web (WWW) now is widely used as a universal medium for information exchange. Semantic...
Ontology mapping is becoming a crucial aspect in providing the background knowledge required for sol...
National audienceOntology is increasingly seen as a key factor for automatic processing of machines,...
The widespread adoption of the semantic web and information technologies has led to the development ...
International audienceOntology is increasingly seen as a key factor for automatic processing of mach...
The problem of ontology mapping has attracted considerable attention over the last few years, as the...
Ontologies allow machines to understand data and process information in the semantic web. However, b...
This paper proposes a domain independent method for handling interoperability problems by learning a...
International audienceOntology mapping is becoming a crucial aspect in providing the background know...
This paper describes a system for automatically mapping between concepts in different ontologies. Th...
Ontology mapping aims to solve the semantic heterogeneity problems such as ambiguous entity names, d...
Ontology is increasingly seen as a key factor for enabling interoperability across heterogeneous sys...
Ontology is increasingly seen as a key factor for enabling interoperability across heterogeneous sys...