Abstract Ontology matching is an important and prolific field of re-search, reflecting the growing interest of the community. This work makes a study over the different approaches and lines of research within the field of Ontology Matching, in order to help and guide new practitioners to approach the field and to determine possible lines of research. The study is based on a survey which has being conducted among the practitioners and which addresses different questions including the background, the future goals and the main achievements of the researcher. The purpose of such survey is to gain knowledge about the current state of art within the ontology matching field and on how such techniques are applied to real-life environments. From the...
Abstract. The natural solution to fully explore the potentials hidden in existing matching approache...
In recent years ontologies have become an integral part of storing information in a structured and f...
Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful tactic...
Methodologies to find and evaluate solutions for ontology matching should be centered on the practic...
Underlying heterogeneous systems, multiple ontologies are created that describe same or overlapping ...
This report describes the theoretical foundations and relevant background in the domain of automatic...
This report describes the theoretical foundations and relevant background in the domain of automatic...
This report describes the theoretical foundations and relevant background in the domain of automatic...
shvaiko2008aInternational audienceThis paper aims at analyzing the key trends and challenges of the ...
This paper presents key features and challenges for the development of the next generation ontology ...
Ontology mapping aims to solve the semantic heterogeneity problems such as ambiguous entity names, d...
Ontology matching can be defined as the process of discovering similarities between two ontologies, ...
This paper aims at analyzing the key trends and challenges of the ontology matching field. The main ...
Nowadays, there are a lot of techniques and tools for addressing the ontology matching problem; howe...
In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semantic ...
Abstract. The natural solution to fully explore the potentials hidden in existing matching approache...
In recent years ontologies have become an integral part of storing information in a structured and f...
Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful tactic...
Methodologies to find and evaluate solutions for ontology matching should be centered on the practic...
Underlying heterogeneous systems, multiple ontologies are created that describe same or overlapping ...
This report describes the theoretical foundations and relevant background in the domain of automatic...
This report describes the theoretical foundations and relevant background in the domain of automatic...
This report describes the theoretical foundations and relevant background in the domain of automatic...
shvaiko2008aInternational audienceThis paper aims at analyzing the key trends and challenges of the ...
This paper presents key features and challenges for the development of the next generation ontology ...
Ontology mapping aims to solve the semantic heterogeneity problems such as ambiguous entity names, d...
Ontology matching can be defined as the process of discovering similarities between two ontologies, ...
This paper aims at analyzing the key trends and challenges of the ontology matching field. The main ...
Nowadays, there are a lot of techniques and tools for addressing the ontology matching problem; howe...
In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semantic ...
Abstract. The natural solution to fully explore the potentials hidden in existing matching approache...
In recent years ontologies have become an integral part of storing information in a structured and f...
Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful tactic...