Elizabeth Wu | The University of Sydney (original) (raw)
Papers by Elizabeth Wu
BMC Bioinformatics, 2007
Neuroscientists often need to access a wide range of data sets distributed over the Internet. The... more Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interoperable, resulting in a barrier to answering complex neuroscience research questions. Domain ontologies can enable the querying heterogeneous data sets, but they are not sufficient for neuroscience since the data of interest commonly span multiple research domains. To this end, e-Neuroscience seeks to provide an integrated platform for neuroscientists to discover new knowledge through seamless integration of the very diverse types of neuroscience data. Here we present a Semantic Web approach to building this e-Neuroscience framework by using the Resource Description Framework (RDF) and its vocabulary description language, RDF Schema (RDFS), as a standard data model to facilitate both representation and integration of the data.
Alzheimers & Dementia, 2008
BMC Bioinformatics, 2007
Neuroscientists often need to access a wide range of data sets distributed over the Internet. The... more Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interoperable, resulting in a barrier to answering complex neuroscience research questions. Domain ontologies can enable the querying heterogeneous data sets, but they are not sufficient for neuroscience since the data of interest commonly span multiple research domains. To this end, e-Neuroscience seeks to provide an integrated platform for neuroscientists to discover new knowledge through seamless integration of the very diverse types of neuroscience data. Here we present a Semantic Web approach to building this e-Neuroscience framework by using the Resource Description Framework (RDF) and its vocabulary description language, RDF Schema (RDFS), as a standard data model to facilitate both representation and integration of the data.
Alzheimers & Dementia, 2010
Alzheimers & Dementia, 2008
In this paper, we provide an overview of the SWAN 1.0 ontology for scientific discourse.
Alzheimers & Dementia, 2010
Journal of Web Semantics, 2006
SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrat... more SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrated scientific knowledge infrastructure for the Alzheimer Disease (AD) research community, using the energy and self-organization of that community, enabled by Semantic Web technology. This infrastructure may later be deployed for research communities in other neuromedical disorders. SWAN incorporates the full biomedical research knowledge lifecycle in its ontological model, including support for personal data organization, hypothesis generation, experimentation, lab data organization, and digital pre-publication collaboration. Community, laboratory, and personal digital resources may all be organized and interconnected using SWAN's common semantic framework.
In this paper, we provide an overview of the SWAN 1.0 ontology for scientific discourse.
Journal of Biomedical Informatics, 2008
Developing cures for highly complex diseases, such as neurodegenerative disorders, requires exten... more Developing cures for highly complex diseases, such as neurodegenerative disorders, requires extensive interdisciplinary collaboration and exchange of biomedical information in context.
BMC Bioinformatics, 2007
Neuroscientists often need to access a wide range of data sets distributed over the Internet. The... more Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interoperable, resulting in a barrier to answering complex neuroscience research questions. Domain ontologies can enable the querying heterogeneous data sets, but they are not sufficient for neuroscience since the data of interest commonly span multiple research domains. To this end, e-Neuroscience seeks to provide an integrated platform for neuroscientists to discover new knowledge through seamless integration of the very diverse types of neuroscience data. Here we present a Semantic Web approach to building this e-Neuroscience framework by using the Resource Description Framework (RDF) and its vocabulary description language, RDF Schema (RDFS), as a standard data model to facilitate both representation and integration of the data.
Journal of Web Semantics, 2006
SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrat... more SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrated scientific knowledge infrastructure for the Alzheimer Disease (AD) research community, using the energy and self-organization of that community, enabled by Semantic Web technology. This infrastructure may later be deployed for research communities in other neuromedical disorders. SWAN incorporates the full biomedical research knowledge lifecycle in its ontological model, including support for personal data organization, hypothesis generation, experimentation, lab data organization, and digital pre-publication collaboration. Community, laboratory, and personal digital resources may all be organized and interconnected using SWAN's common semantic framework.
Alzheimers & Dementia, 2008
Journal of Biomedical Informatics, 2008
Developing cures for highly complex diseases, such as neurodegenerative disorders, requires exten... more Developing cures for highly complex diseases, such as neurodegenerative disorders, requires extensive interdisciplinary collaboration and exchange of biomedical information in context.
Alzheimers & Dementia, 2010
In this paper, we provide an overview of the SWAN 1.0 ontology for scientific discourse.
... Marenco2,3, Tim Clark8,9, Yong Gao9, June Kinoshita10 Gordon Shepherd4, Perry Miller2,3,5, El... more ... Marenco2,3, Tim Clark8,9, Yong Gao9, June Kinoshita10 Gordon Shepherd4, Perry Miller2,3,5, Elizabeth Wu10, Gwen Wong10, Nian ... Our Semantic Web approach extends the data warehouse solution by providing a richer semantic representation and inferencing capability. ...
Journal of Web Semantics, 2006
SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrat... more SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrated scientific knowledge infrastructure for the Alzheimer Disease (AD) research community, using the energy and self-organization of that community, enabled by Semantic Web technology. This infrastructure may later be deployed for research communities in other neuromedical disorders. SWAN incorporates the full biomedical research knowledge lifecycle in its ontological model, including support for personal data organization, hypothesis generation, experimentation, lab data organization, and digital pre-publication collaboration. Community, laboratory, and personal digital resources may all be organized and interconnected using SWAN's common semantic framework.
Journal of Biomedical Informatics, 2008
Developing cures for highly complex diseases, such as neurodegenerative disorders, requires exten... more Developing cures for highly complex diseases, such as neurodegenerative disorders, requires extensive interdisciplinary collaboration and exchange of biomedical information in context.
... Marenco2,3, Tim Clark8,9, Yong Gao9, June Kinoshita10 Gordon Shepherd4, Perry Miller2,3,5, El... more ... Marenco2,3, Tim Clark8,9, Yong Gao9, June Kinoshita10 Gordon Shepherd4, Perry Miller2,3,5, Elizabeth Wu10, Gwen Wong10, Nian ... Our Semantic Web approach extends the data warehouse solution by providing a richer semantic representation and inferencing capability. ...
BMC Bioinformatics, 2007
Neuroscientists often need to access a wide range of data sets distributed over the Internet. The... more Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interoperable, resulting in a barrier to answering complex neuroscience research questions. Domain ontologies can enable the querying heterogeneous data sets, but they are not sufficient for neuroscience since the data of interest commonly span multiple research domains. To this end, e-Neuroscience seeks to provide an integrated platform for neuroscientists to discover new knowledge through seamless integration of the very diverse types of neuroscience data. Here we present a Semantic Web approach to building this e-Neuroscience framework by using the Resource Description Framework (RDF) and its vocabulary description language, RDF Schema (RDFS), as a standard data model to facilitate both representation and integration of the data.
Alzheimers & Dementia, 2008
BMC Bioinformatics, 2007
Neuroscientists often need to access a wide range of data sets distributed over the Internet. The... more Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interoperable, resulting in a barrier to answering complex neuroscience research questions. Domain ontologies can enable the querying heterogeneous data sets, but they are not sufficient for neuroscience since the data of interest commonly span multiple research domains. To this end, e-Neuroscience seeks to provide an integrated platform for neuroscientists to discover new knowledge through seamless integration of the very diverse types of neuroscience data. Here we present a Semantic Web approach to building this e-Neuroscience framework by using the Resource Description Framework (RDF) and its vocabulary description language, RDF Schema (RDFS), as a standard data model to facilitate both representation and integration of the data.
Alzheimers & Dementia, 2010
Alzheimers & Dementia, 2008
In this paper, we provide an overview of the SWAN 1.0 ontology for scientific discourse.
Alzheimers & Dementia, 2010
Journal of Web Semantics, 2006
SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrat... more SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrated scientific knowledge infrastructure for the Alzheimer Disease (AD) research community, using the energy and self-organization of that community, enabled by Semantic Web technology. This infrastructure may later be deployed for research communities in other neuromedical disorders. SWAN incorporates the full biomedical research knowledge lifecycle in its ontological model, including support for personal data organization, hypothesis generation, experimentation, lab data organization, and digital pre-publication collaboration. Community, laboratory, and personal digital resources may all be organized and interconnected using SWAN's common semantic framework.
In this paper, we provide an overview of the SWAN 1.0 ontology for scientific discourse.
Journal of Biomedical Informatics, 2008
Developing cures for highly complex diseases, such as neurodegenerative disorders, requires exten... more Developing cures for highly complex diseases, such as neurodegenerative disorders, requires extensive interdisciplinary collaboration and exchange of biomedical information in context.
BMC Bioinformatics, 2007
Neuroscientists often need to access a wide range of data sets distributed over the Internet. The... more Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interoperable, resulting in a barrier to answering complex neuroscience research questions. Domain ontologies can enable the querying heterogeneous data sets, but they are not sufficient for neuroscience since the data of interest commonly span multiple research domains. To this end, e-Neuroscience seeks to provide an integrated platform for neuroscientists to discover new knowledge through seamless integration of the very diverse types of neuroscience data. Here we present a Semantic Web approach to building this e-Neuroscience framework by using the Resource Description Framework (RDF) and its vocabulary description language, RDF Schema (RDFS), as a standard data model to facilitate both representation and integration of the data.
Journal of Web Semantics, 2006
SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrat... more SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrated scientific knowledge infrastructure for the Alzheimer Disease (AD) research community, using the energy and self-organization of that community, enabled by Semantic Web technology. This infrastructure may later be deployed for research communities in other neuromedical disorders. SWAN incorporates the full biomedical research knowledge lifecycle in its ontological model, including support for personal data organization, hypothesis generation, experimentation, lab data organization, and digital pre-publication collaboration. Community, laboratory, and personal digital resources may all be organized and interconnected using SWAN's common semantic framework.
Alzheimers & Dementia, 2008
Journal of Biomedical Informatics, 2008
Developing cures for highly complex diseases, such as neurodegenerative disorders, requires exten... more Developing cures for highly complex diseases, such as neurodegenerative disorders, requires extensive interdisciplinary collaboration and exchange of biomedical information in context.
Alzheimers & Dementia, 2010
In this paper, we provide an overview of the SWAN 1.0 ontology for scientific discourse.
... Marenco2,3, Tim Clark8,9, Yong Gao9, June Kinoshita10 Gordon Shepherd4, Perry Miller2,3,5, El... more ... Marenco2,3, Tim Clark8,9, Yong Gao9, June Kinoshita10 Gordon Shepherd4, Perry Miller2,3,5, Elizabeth Wu10, Gwen Wong10, Nian ... Our Semantic Web approach extends the data warehouse solution by providing a richer semantic representation and inferencing capability. ...
Journal of Web Semantics, 2006
SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrat... more SWAN -a Semantic Web Application in Neuromedicine -is a project to develop an effective, integrated scientific knowledge infrastructure for the Alzheimer Disease (AD) research community, using the energy and self-organization of that community, enabled by Semantic Web technology. This infrastructure may later be deployed for research communities in other neuromedical disorders. SWAN incorporates the full biomedical research knowledge lifecycle in its ontological model, including support for personal data organization, hypothesis generation, experimentation, lab data organization, and digital pre-publication collaboration. Community, laboratory, and personal digital resources may all be organized and interconnected using SWAN's common semantic framework.
Journal of Biomedical Informatics, 2008
Developing cures for highly complex diseases, such as neurodegenerative disorders, requires exten... more Developing cures for highly complex diseases, such as neurodegenerative disorders, requires extensive interdisciplinary collaboration and exchange of biomedical information in context.
... Marenco2,3, Tim Clark8,9, Yong Gao9, June Kinoshita10 Gordon Shepherd4, Perry Miller2,3,5, El... more ... Marenco2,3, Tim Clark8,9, Yong Gao9, June Kinoshita10 Gordon Shepherd4, Perry Miller2,3,5, Elizabeth Wu10, Gwen Wong10, Nian ... Our Semantic Web approach extends the data warehouse solution by providing a richer semantic representation and inferencing capability. ...