Add to ORKGThe paper introduces basic features of a novel ontology integration framework that explicitly takes the dynamics and data-intensiveness of many practical application scenarios into account. We motivate our research partially by the needs of bio-medicine scenarios that have been recently identified within the search for semantics-enabled solutions. In this context, we show a concrete example of the integration process in the life-sciences settings. Moreover, we elaborate a possible bio-medicine industry application domain of the presented framework and explain the benefits of the proposed semantic solution.peer-reviewe
The semantic integration of pharmacogenomic knowledge that is currently distributed in several resou...
Abstract—Worldwide health scientists are producing, access-ing, analyzing, integrating, and storing ...
This paper presents a novel approach for biomedical database integration, called ONTOFUSION, based o...
Abstract. In this presentation, we review some examples of successful biomedical data integration pr...
Background A fundamental goal of the U.S. National Institute of Health (NIH) "Roadmap" is to streng...
Technological advances of computer science and data analysis are helping to provide continuously hug...
We present a novel ontology integration technique that explicitly takes the dynamics and data-intens...
This paper introduces a new paradigm for establishing a framework that enables interoperability betw...
As the amount of biological information and its diversity accumulates massively there is a critical ...
Integrative Biology (IB) uses experimental or computational quantitative technologies to characteriz...
Background The use of the knowledge produced by sciences to promote human health is the main goal of...
Ontologies are widely used in biological and biomedical research. Their success lies in their combin...
Semantic Web technologies offer a promising framework for integration of disparate biomedical data. ...
Abstract. Objectives: Biomedical ontologies exist to serve integration of clinical and experimental ...
It is increasingly challenging to analyze the data produced in biomedicine, even more so when relyin...
The semantic integration of pharmacogenomic knowledge that is currently distributed in several resou...
Abstract—Worldwide health scientists are producing, access-ing, analyzing, integrating, and storing ...
This paper presents a novel approach for biomedical database integration, called ONTOFUSION, based o...
Abstract. In this presentation, we review some examples of successful biomedical data integration pr...
Background A fundamental goal of the U.S. National Institute of Health (NIH) "Roadmap" is to streng...
Technological advances of computer science and data analysis are helping to provide continuously hug...
We present a novel ontology integration technique that explicitly takes the dynamics and data-intens...
This paper introduces a new paradigm for establishing a framework that enables interoperability betw...
As the amount of biological information and its diversity accumulates massively there is a critical ...
Integrative Biology (IB) uses experimental or computational quantitative technologies to characteriz...
Background The use of the knowledge produced by sciences to promote human health is the main goal of...
Ontologies are widely used in biological and biomedical research. Their success lies in their combin...
Semantic Web technologies offer a promising framework for integration of disparate biomedical data. ...
Abstract. Objectives: Biomedical ontologies exist to serve integration of clinical and experimental ...
It is increasingly challenging to analyze the data produced in biomedicine, even more so when relyin...
The semantic integration of pharmacogenomic knowledge that is currently distributed in several resou...
Abstract—Worldwide health scientists are producing, access-ing, analyzing, integrating, and storing ...
This paper presents a novel approach for biomedical database integration, called ONTOFUSION, based o...