In face of the burgeoning interest in ‘ontology’ in science studies, Michael Lynch (2008) called for a move toward ‘ontography’, to talking about ontologies by way of studies in which ontologies (or at least, an ontology) are of demonstrable relevance to the doings of those being studied. This paper provides an ontography, or some part of one, in that it reports on work in ontology development being done by a group of researchers in bioinformatics, drawing its examples largely from a workshop in which some members of that group were participant and which was organised by a research network to which they belonged. Methodologies for building ‘good’ ontologies were part of the interests of this wider research group and were a motivation for th...
PhD ThesisOntologies are widely used in life sciences to model scienti c knowledge. The engineering ...
In the era of “big data,” science is increasingly information driven, and the potential for computer...
Background: Bio-ontologies are key elements of knowledge management in bioinformatics. Rich and rigo...
Increasingly, in data-intensive areas of the life sciences, experimental results are being described...
Recently, ontologies have gained popularity as the means of achieving syntactic and semantic interop...
This paper reflects on the analytic challenges emerging from the study of bioinformatic tools recent...
The development of " omic" technologies and its applications into biological sciences has in...
We begin at the beginning, with an outline of Aristotle’s views on ontology and with a discussion of...
Ontologies are ways of representing aspects of the world in terms of uniquely defined classes of ‘en...
As biology is becoming a data-driven discipline, ontologies become increasingly important for system...
This project aims to reach a philosophical understanding of the role played by theory in the practic...
Ontology construction for any domain is a labour intensive and complex process. Any methodology that...
AbstractResearch on ontologies is becoming widespread in the biomedical informatics community. At th...
We begin by describing recent developments in the burgeoning discipline of applied ontology, focusin...
AbstractBio-ontology development is a resource-consuming task despite the many open source ontologie...
PhD ThesisOntologies are widely used in life sciences to model scienti c knowledge. The engineering ...
In the era of “big data,” science is increasingly information driven, and the potential for computer...
Background: Bio-ontologies are key elements of knowledge management in bioinformatics. Rich and rigo...
Increasingly, in data-intensive areas of the life sciences, experimental results are being described...
Recently, ontologies have gained popularity as the means of achieving syntactic and semantic interop...
This paper reflects on the analytic challenges emerging from the study of bioinformatic tools recent...
The development of " omic" technologies and its applications into biological sciences has in...
We begin at the beginning, with an outline of Aristotle’s views on ontology and with a discussion of...
Ontologies are ways of representing aspects of the world in terms of uniquely defined classes of ‘en...
As biology is becoming a data-driven discipline, ontologies become increasingly important for system...
This project aims to reach a philosophical understanding of the role played by theory in the practic...
Ontology construction for any domain is a labour intensive and complex process. Any methodology that...
AbstractResearch on ontologies is becoming widespread in the biomedical informatics community. At th...
We begin by describing recent developments in the burgeoning discipline of applied ontology, focusin...
AbstractBio-ontology development is a resource-consuming task despite the many open source ontologie...
PhD ThesisOntologies are widely used in life sciences to model scienti c knowledge. The engineering ...
In the era of “big data,” science is increasingly information driven, and the potential for computer...
Background: Bio-ontologies are key elements of knowledge management in bioinformatics. Rich and rigo...