Add to ORKGThis article presents a structure of multiple shared ontologies to integrate heterogeneous sources. This structure is intended to be easy to implement to maintain and to scale, and also close to the human model of conceptualisation. The structure has been investigate in a small scale experiment set in the domain of the international coffee preparation. The coffee-preparing domain is attractive as it serves to illustrate that different communities may share knowledge at different abstraction levels.
Ontologies have been extensively used to model domain-specific knowledge. The main reason for this s...
This article presents design decisions for an ontologybased framework supporting an expert-driven ap...
To exploit the Internet’s expanding data collection, current Semantic Web approaches employ annotat...
Information sharing from multiple heterogeneous sources is a challenging issue which ranges from dat...
Information integration is enabled by having a precisely defined common terminology. We call this co...
Restricted until 25 Jan. 2010.The main goal of this research is to improve interoperability between ...
Abstract. Ontologies serve as a mean to establish a conceptually concise basis for communicating kno...
Abstract – Many applications, e.g., data/information fusion, data mining, and decision aids, need to...
Abstract. In this paper, we propose a methodology developed in the framework of the VISPO project fo...
Organizational knowledge typically comes from numerous independent sources, each with its own semant...
Interoperability is a key point for integrating heterogeneous computing systems. A usual approach pr...
We consider an interconnection scenario over the Web, where diverse pre-existing and independent com...
Buitelaar P, Cimiano P, Frank A, Hartung M, Racioppa S. Ontology-based Information Extraction and In...
This peer-reviewed paper draws upon the research of a cross-disciplinary, collaborative e-Science pr...
Integrating data from a Federated System is a very complex process that involves a series of tasks. ...
Ontologies have been extensively used to model domain-specific knowledge. The main reason for this s...
This article presents design decisions for an ontologybased framework supporting an expert-driven ap...
To exploit the Internet’s expanding data collection, current Semantic Web approaches employ annotat...
Information sharing from multiple heterogeneous sources is a challenging issue which ranges from dat...
Information integration is enabled by having a precisely defined common terminology. We call this co...
Restricted until 25 Jan. 2010.The main goal of this research is to improve interoperability between ...
Abstract. Ontologies serve as a mean to establish a conceptually concise basis for communicating kno...
Abstract – Many applications, e.g., data/information fusion, data mining, and decision aids, need to...
Abstract. In this paper, we propose a methodology developed in the framework of the VISPO project fo...
Organizational knowledge typically comes from numerous independent sources, each with its own semant...
Interoperability is a key point for integrating heterogeneous computing systems. A usual approach pr...
We consider an interconnection scenario over the Web, where diverse pre-existing and independent com...
Buitelaar P, Cimiano P, Frank A, Hartung M, Racioppa S. Ontology-based Information Extraction and In...
This peer-reviewed paper draws upon the research of a cross-disciplinary, collaborative e-Science pr...
Integrating data from a Federated System is a very complex process that involves a series of tasks. ...
Ontologies have been extensively used to model domain-specific knowledge. The main reason for this s...
This article presents design decisions for an ontologybased framework supporting an expert-driven ap...
To exploit the Internet’s expanding data collection, current Semantic Web approaches employ annotat...