We describe collaborative efforts between a knowledge representation team, a community of scientists, and scientific information managers in developing knowledge models for ecological and environmental sciences. Formal, structured approaches to knowledge representation used by the team (e.g., ontologies) can be informed by unstructured approaches to knowledge representation and semantic tagging already in use by the community. Observations about the process of collaboration between the team and the community are used to generate an interaction model for supporting software tools
Ontology-based information publishing, retrieval, reuse, and integration have become popular researc...
© 2006 Dr. Muthukkaruppan AnnamalaiThis thesis analyses the modelling of knowledge in relation to kn...
Abstract In the era of big data, ecologists are increasingly relying on computational approaches and...
Work towards creation of a knowledge sharing system for sustainability science through the applicati...
Models, and to a lesser extent datasets, embody sophisticated statements of ecological knowledge. Ye...
To better understand and manage complex social-ecological systems, social scientists and ecologists ...
By considering the dynamicity and complexity that is present in modern Socio-Environmental Systems a...
Abstract: An analysis of large and complex systems such as environmental systems linked to socio-eco...
Local people and scientists both hold ecological knowledge, respectively stemming from prolonged day...
Ecology is inherently cross-disciplinary, drawing together many typesof informationtoaddressquestion...
Modelling, particularly computer-based modelling, is increasingly used in political, managerial, and...
Abstract. The workflow to develop collaborative applications should be highly adaptable to frequent ...
A multitude of different perspectives and scientific disciplines have to be regarded considering res...
International audienceTo analyze complex situations we use everyday analogies that allow us to inves...
In order to address society’s most pressing challenges, extremely heterogeneous ecological and organ...
Ontology-based information publishing, retrieval, reuse, and integration have become popular researc...
© 2006 Dr. Muthukkaruppan AnnamalaiThis thesis analyses the modelling of knowledge in relation to kn...
Abstract In the era of big data, ecologists are increasingly relying on computational approaches and...
Work towards creation of a knowledge sharing system for sustainability science through the applicati...
Models, and to a lesser extent datasets, embody sophisticated statements of ecological knowledge. Ye...
To better understand and manage complex social-ecological systems, social scientists and ecologists ...
By considering the dynamicity and complexity that is present in modern Socio-Environmental Systems a...
Abstract: An analysis of large and complex systems such as environmental systems linked to socio-eco...
Local people and scientists both hold ecological knowledge, respectively stemming from prolonged day...
Ecology is inherently cross-disciplinary, drawing together many typesof informationtoaddressquestion...
Modelling, particularly computer-based modelling, is increasingly used in political, managerial, and...
Abstract. The workflow to develop collaborative applications should be highly adaptable to frequent ...
A multitude of different perspectives and scientific disciplines have to be regarded considering res...
International audienceTo analyze complex situations we use everyday analogies that allow us to inves...
In order to address society’s most pressing challenges, extremely heterogeneous ecological and organ...
Ontology-based information publishing, retrieval, reuse, and integration have become popular researc...
© 2006 Dr. Muthukkaruppan AnnamalaiThis thesis analyses the modelling of knowledge in relation to kn...
Abstract In the era of big data, ecologists are increasingly relying on computational approaches and...