A knowledge environment for the biodiversity and ecological sciences
Abstract The Science Environment for Ecological Knowledge (SEEK) is a knowledge environment that is being developed to address many of the current challenges associated with data accessibility and integration in the biodiversity and ecological sciences. The SEEK information technology infrastructure...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Michener, William K. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2007 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC 2007 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of intelligent information systems - Springer US, 1992, 29(2007), 1 vom: 31. Jan., Seite 111-126 |
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| Übergeordnetes Werk: |
volume:29 ; year:2007 ; number:1 ; day:31 ; month:01 ; pages:111-126 |
| Links: |
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| DOI / URN: |
10.1007/s10844-006-0034-8 |
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| Katalog-ID: |
OLC2052416420 |
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| 245 | 1 | 0 | |a A knowledge environment for the biodiversity and ecological sciences |
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| 520 | |a Abstract The Science Environment for Ecological Knowledge (SEEK) is a knowledge environment that is being developed to address many of the current challenges associated with data accessibility and integration in the biodiversity and ecological sciences. The SEEK information technology infrastructure encompasses three integrated systems: (1) EcoGrid—an open architecture for data access; (2) a Semantic Mediation System based on domain-specific ontologies; and (3) an Analysis and Modeling System that supports semantically integrated analytical workflows. Multidisciplinary scientists and programmers from multiple institutions comprise the core development team. SEEK design and development are informed by three multidisciplinary teams of scientists organized in Working Groups. The Biodiversity and Ecological Analysis and Modeling Working Group informs development through evaluation of SEEK efficacy in addressing biodiversity and ecological questions. The Knowledge Representation Working Group provides knowledge representation requirements from the domain sciences and develops the corresponding knowledge representations (ontologies) to support the assembly of analytical workflows in the Analysis and Modeling System, and the intelligent data and service discovery in the EcoGrid. A Biological Classification and Nomenclature Working Group investigates solutions to mediating among multiple taxonomies for naming organisms. A multifaceted education, outreach and training program ensures that the SEEK research products, software, and information technology infrastructure optimally benefit the target communities. | ||
| 650 | 4 | |a Analytical workflow | |
| 650 | 4 | |a Data grid | |
| 650 | 4 | |a Ecoinformatics | |
| 650 | 4 | |a Ecological niche model | |
| 650 | 4 | |a Knowledge environment | |
| 650 | 4 | |a Semantic mediation | |
| 650 | 4 | |a Metadata | |
| 700 | 1 | |a Beach, James H. |4 aut | |
| 700 | 1 | |a Jones, Matthew B. |4 aut | |
| 700 | 1 | |a Ludäscher, Bertram |4 aut | |
| 700 | 1 | |a Pennington, Deana D. |4 aut | |
| 700 | 1 | |a Pereira, Ricardo S. |4 aut | |
| 700 | 1 | |a Rajasekar, Arcot |4 aut | |
| 700 | 1 | |a Schildhauer, Mark |4 aut | |
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10.1007/s10844-006-0034-8 doi (DE-627)OLC2052416420 (DE-He213)s10844-006-0034-8-p DE-627 ger DE-627 rakwb eng 070 020 004 VZ 24,1 ssgn 54.00 bkl Michener, William K. verfasserin aut A knowledge environment for the biodiversity and ecological sciences 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2007 Abstract The Science Environment for Ecological Knowledge (SEEK) is a knowledge environment that is being developed to address many of the current challenges associated with data accessibility and integration in the biodiversity and ecological sciences. The SEEK information technology infrastructure encompasses three integrated systems: (1) EcoGrid—an open architecture for data access; (2) a Semantic Mediation System based on domain-specific ontologies; and (3) an Analysis and Modeling System that supports semantically integrated analytical workflows. Multidisciplinary scientists and programmers from multiple institutions comprise the core development team. SEEK design and development are informed by three multidisciplinary teams of scientists organized in Working Groups. The Biodiversity and Ecological Analysis and Modeling Working Group informs development through evaluation of SEEK efficacy in addressing biodiversity and ecological questions. The Knowledge Representation Working Group provides knowledge representation requirements from the domain sciences and develops the corresponding knowledge representations (ontologies) to support the assembly of analytical workflows in the Analysis and Modeling System, and the intelligent data and service discovery in the EcoGrid. A Biological Classification and Nomenclature Working Group investigates solutions to mediating among multiple taxonomies for naming organisms. A multifaceted education, outreach and training program ensures that the SEEK research products, software, and information technology infrastructure optimally benefit the target communities. Analytical workflow Data grid Ecoinformatics Ecological niche model Knowledge environment Semantic mediation Metadata Beach, James H. aut Jones, Matthew B. aut Ludäscher, Bertram aut Pennington, Deana D. aut Pereira, Ricardo S. aut Rajasekar, Arcot aut Schildhauer, Mark aut Enthalten in Journal of intelligent information systems Springer US, 1992 29(2007), 1 vom: 31. Jan., Seite 111-126 (DE-627)171028333 (DE-600)1141899-0 (DE-576)03304032X 0925-9902 nnns volume:29 year:2007 number:1 day:31 month:01 pages:111-126 https://doi.org/10.1007/s10844-006-0034-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OPC-BBI GBV_ILN_32 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_100 GBV_ILN_130 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2021 GBV_ILN_2244 GBV_ILN_4116 GBV_ILN_4324 54.00 VZ AR 29 2007 1 31 01 111-126 |
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10.1007/s10844-006-0034-8 doi (DE-627)OLC2052416420 (DE-He213)s10844-006-0034-8-p DE-627 ger DE-627 rakwb eng 070 020 004 VZ 24,1 ssgn 54.00 bkl Michener, William K. verfasserin aut A knowledge environment for the biodiversity and ecological sciences 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2007 Abstract The Science Environment for Ecological Knowledge (SEEK) is a knowledge environment that is being developed to address many of the current challenges associated with data accessibility and integration in the biodiversity and ecological sciences. The SEEK information technology infrastructure encompasses three integrated systems: (1) EcoGrid—an open architecture for data access; (2) a Semantic Mediation System based on domain-specific ontologies; and (3) an Analysis and Modeling System that supports semantically integrated analytical workflows. Multidisciplinary scientists and programmers from multiple institutions comprise the core development team. SEEK design and development are informed by three multidisciplinary teams of scientists organized in Working Groups. The Biodiversity and Ecological Analysis and Modeling Working Group informs development through evaluation of SEEK efficacy in addressing biodiversity and ecological questions. The Knowledge Representation Working Group provides knowledge representation requirements from the domain sciences and develops the corresponding knowledge representations (ontologies) to support the assembly of analytical workflows in the Analysis and Modeling System, and the intelligent data and service discovery in the EcoGrid. A Biological Classification and Nomenclature Working Group investigates solutions to mediating among multiple taxonomies for naming organisms. A multifaceted education, outreach and training program ensures that the SEEK research products, software, and information technology infrastructure optimally benefit the target communities. Analytical workflow Data grid Ecoinformatics Ecological niche model Knowledge environment Semantic mediation Metadata Beach, James H. aut Jones, Matthew B. aut Ludäscher, Bertram aut Pennington, Deana D. aut Pereira, Ricardo S. aut Rajasekar, Arcot aut Schildhauer, Mark aut Enthalten in Journal of intelligent information systems Springer US, 1992 29(2007), 1 vom: 31. Jan., Seite 111-126 (DE-627)171028333 (DE-600)1141899-0 (DE-576)03304032X 0925-9902 nnns volume:29 year:2007 number:1 day:31 month:01 pages:111-126 https://doi.org/10.1007/s10844-006-0034-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OPC-BBI GBV_ILN_32 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_100 GBV_ILN_130 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2021 GBV_ILN_2244 GBV_ILN_4116 GBV_ILN_4324 54.00 VZ AR 29 2007 1 31 01 111-126 |
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10.1007/s10844-006-0034-8 doi (DE-627)OLC2052416420 (DE-He213)s10844-006-0034-8-p DE-627 ger DE-627 rakwb eng 070 020 004 VZ 24,1 ssgn 54.00 bkl Michener, William K. verfasserin aut A knowledge environment for the biodiversity and ecological sciences 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2007 Abstract The Science Environment for Ecological Knowledge (SEEK) is a knowledge environment that is being developed to address many of the current challenges associated with data accessibility and integration in the biodiversity and ecological sciences. The SEEK information technology infrastructure encompasses three integrated systems: (1) EcoGrid—an open architecture for data access; (2) a Semantic Mediation System based on domain-specific ontologies; and (3) an Analysis and Modeling System that supports semantically integrated analytical workflows. Multidisciplinary scientists and programmers from multiple institutions comprise the core development team. SEEK design and development are informed by three multidisciplinary teams of scientists organized in Working Groups. The Biodiversity and Ecological Analysis and Modeling Working Group informs development through evaluation of SEEK efficacy in addressing biodiversity and ecological questions. The Knowledge Representation Working Group provides knowledge representation requirements from the domain sciences and develops the corresponding knowledge representations (ontologies) to support the assembly of analytical workflows in the Analysis and Modeling System, and the intelligent data and service discovery in the EcoGrid. A Biological Classification and Nomenclature Working Group investigates solutions to mediating among multiple taxonomies for naming organisms. A multifaceted education, outreach and training program ensures that the SEEK research products, software, and information technology infrastructure optimally benefit the target communities. Analytical workflow Data grid Ecoinformatics Ecological niche model Knowledge environment Semantic mediation Metadata Beach, James H. aut Jones, Matthew B. aut Ludäscher, Bertram aut Pennington, Deana D. aut Pereira, Ricardo S. aut Rajasekar, Arcot aut Schildhauer, Mark aut Enthalten in Journal of intelligent information systems Springer US, 1992 29(2007), 1 vom: 31. Jan., Seite 111-126 (DE-627)171028333 (DE-600)1141899-0 (DE-576)03304032X 0925-9902 nnns volume:29 year:2007 number:1 day:31 month:01 pages:111-126 https://doi.org/10.1007/s10844-006-0034-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OPC-BBI GBV_ILN_32 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_100 GBV_ILN_130 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2021 GBV_ILN_2244 GBV_ILN_4116 GBV_ILN_4324 54.00 VZ AR 29 2007 1 31 01 111-126 |
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10.1007/s10844-006-0034-8 doi (DE-627)OLC2052416420 (DE-He213)s10844-006-0034-8-p DE-627 ger DE-627 rakwb eng 070 020 004 VZ 24,1 ssgn 54.00 bkl Michener, William K. verfasserin aut A knowledge environment for the biodiversity and ecological sciences 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2007 Abstract The Science Environment for Ecological Knowledge (SEEK) is a knowledge environment that is being developed to address many of the current challenges associated with data accessibility and integration in the biodiversity and ecological sciences. The SEEK information technology infrastructure encompasses three integrated systems: (1) EcoGrid—an open architecture for data access; (2) a Semantic Mediation System based on domain-specific ontologies; and (3) an Analysis and Modeling System that supports semantically integrated analytical workflows. Multidisciplinary scientists and programmers from multiple institutions comprise the core development team. SEEK design and development are informed by three multidisciplinary teams of scientists organized in Working Groups. The Biodiversity and Ecological Analysis and Modeling Working Group informs development through evaluation of SEEK efficacy in addressing biodiversity and ecological questions. The Knowledge Representation Working Group provides knowledge representation requirements from the domain sciences and develops the corresponding knowledge representations (ontologies) to support the assembly of analytical workflows in the Analysis and Modeling System, and the intelligent data and service discovery in the EcoGrid. A Biological Classification and Nomenclature Working Group investigates solutions to mediating among multiple taxonomies for naming organisms. A multifaceted education, outreach and training program ensures that the SEEK research products, software, and information technology infrastructure optimally benefit the target communities. Analytical workflow Data grid Ecoinformatics Ecological niche model Knowledge environment Semantic mediation Metadata Beach, James H. aut Jones, Matthew B. aut Ludäscher, Bertram aut Pennington, Deana D. aut Pereira, Ricardo S. aut Rajasekar, Arcot aut Schildhauer, Mark aut Enthalten in Journal of intelligent information systems Springer US, 1992 29(2007), 1 vom: 31. Jan., Seite 111-126 (DE-627)171028333 (DE-600)1141899-0 (DE-576)03304032X 0925-9902 nnns volume:29 year:2007 number:1 day:31 month:01 pages:111-126 https://doi.org/10.1007/s10844-006-0034-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OPC-BBI GBV_ILN_32 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_100 GBV_ILN_130 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2021 GBV_ILN_2244 GBV_ILN_4116 GBV_ILN_4324 54.00 VZ AR 29 2007 1 31 01 111-126 |
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10.1007/s10844-006-0034-8 doi (DE-627)OLC2052416420 (DE-He213)s10844-006-0034-8-p DE-627 ger DE-627 rakwb eng 070 020 004 VZ 24,1 ssgn 54.00 bkl Michener, William K. verfasserin aut A knowledge environment for the biodiversity and ecological sciences 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2007 Abstract The Science Environment for Ecological Knowledge (SEEK) is a knowledge environment that is being developed to address many of the current challenges associated with data accessibility and integration in the biodiversity and ecological sciences. The SEEK information technology infrastructure encompasses three integrated systems: (1) EcoGrid—an open architecture for data access; (2) a Semantic Mediation System based on domain-specific ontologies; and (3) an Analysis and Modeling System that supports semantically integrated analytical workflows. Multidisciplinary scientists and programmers from multiple institutions comprise the core development team. SEEK design and development are informed by three multidisciplinary teams of scientists organized in Working Groups. The Biodiversity and Ecological Analysis and Modeling Working Group informs development through evaluation of SEEK efficacy in addressing biodiversity and ecological questions. The Knowledge Representation Working Group provides knowledge representation requirements from the domain sciences and develops the corresponding knowledge representations (ontologies) to support the assembly of analytical workflows in the Analysis and Modeling System, and the intelligent data and service discovery in the EcoGrid. A Biological Classification and Nomenclature Working Group investigates solutions to mediating among multiple taxonomies for naming organisms. A multifaceted education, outreach and training program ensures that the SEEK research products, software, and information technology infrastructure optimally benefit the target communities. Analytical workflow Data grid Ecoinformatics Ecological niche model Knowledge environment Semantic mediation Metadata Beach, James H. aut Jones, Matthew B. aut Ludäscher, Bertram aut Pennington, Deana D. aut Pereira, Ricardo S. aut Rajasekar, Arcot aut Schildhauer, Mark aut Enthalten in Journal of intelligent information systems Springer US, 1992 29(2007), 1 vom: 31. Jan., Seite 111-126 (DE-627)171028333 (DE-600)1141899-0 (DE-576)03304032X 0925-9902 nnns volume:29 year:2007 number:1 day:31 month:01 pages:111-126 https://doi.org/10.1007/s10844-006-0034-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OPC-BBI GBV_ILN_32 GBV_ILN_40 GBV_ILN_62 GBV_ILN_70 GBV_ILN_100 GBV_ILN_130 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2010 GBV_ILN_2021 GBV_ILN_2244 GBV_ILN_4116 GBV_ILN_4324 54.00 VZ AR 29 2007 1 31 01 111-126 |
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Enthalten in Journal of intelligent information systems 29(2007), 1 vom: 31. Jan., Seite 111-126 volume:29 year:2007 number:1 day:31 month:01 pages:111-126 |
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Michener, William K. @@aut@@ Beach, James H. @@aut@@ Jones, Matthew B. @@aut@@ Ludäscher, Bertram @@aut@@ Pennington, Deana D. @@aut@@ Pereira, Ricardo S. @@aut@@ Rajasekar, Arcot @@aut@@ Schildhauer, Mark @@aut@@ |
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a knowledge environment for the biodiversity and ecological sciences |
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Abstract The Science Environment for Ecological Knowledge (SEEK) is a knowledge environment that is being developed to address many of the current challenges associated with data accessibility and integration in the biodiversity and ecological sciences. The SEEK information technology infrastructure encompasses three integrated systems: (1) EcoGrid—an open architecture for data access; (2) a Semantic Mediation System based on domain-specific ontologies; and (3) an Analysis and Modeling System that supports semantically integrated analytical workflows. Multidisciplinary scientists and programmers from multiple institutions comprise the core development team. SEEK design and development are informed by three multidisciplinary teams of scientists organized in Working Groups. The Biodiversity and Ecological Analysis and Modeling Working Group informs development through evaluation of SEEK efficacy in addressing biodiversity and ecological questions. The Knowledge Representation Working Group provides knowledge representation requirements from the domain sciences and develops the corresponding knowledge representations (ontologies) to support the assembly of analytical workflows in the Analysis and Modeling System, and the intelligent data and service discovery in the EcoGrid. A Biological Classification and Nomenclature Working Group investigates solutions to mediating among multiple taxonomies for naming organisms. A multifaceted education, outreach and training program ensures that the SEEK research products, software, and information technology infrastructure optimally benefit the target communities. © Springer Science+Business Media, LLC 2007 |
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Abstract The Science Environment for Ecological Knowledge (SEEK) is a knowledge environment that is being developed to address many of the current challenges associated with data accessibility and integration in the biodiversity and ecological sciences. The SEEK information technology infrastructure encompasses three integrated systems: (1) EcoGrid—an open architecture for data access; (2) a Semantic Mediation System based on domain-specific ontologies; and (3) an Analysis and Modeling System that supports semantically integrated analytical workflows. Multidisciplinary scientists and programmers from multiple institutions comprise the core development team. SEEK design and development are informed by three multidisciplinary teams of scientists organized in Working Groups. The Biodiversity and Ecological Analysis and Modeling Working Group informs development through evaluation of SEEK efficacy in addressing biodiversity and ecological questions. The Knowledge Representation Working Group provides knowledge representation requirements from the domain sciences and develops the corresponding knowledge representations (ontologies) to support the assembly of analytical workflows in the Analysis and Modeling System, and the intelligent data and service discovery in the EcoGrid. A Biological Classification and Nomenclature Working Group investigates solutions to mediating among multiple taxonomies for naming organisms. A multifaceted education, outreach and training program ensures that the SEEK research products, software, and information technology infrastructure optimally benefit the target communities. © Springer Science+Business Media, LLC 2007 |
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Abstract The Science Environment for Ecological Knowledge (SEEK) is a knowledge environment that is being developed to address many of the current challenges associated with data accessibility and integration in the biodiversity and ecological sciences. The SEEK information technology infrastructure encompasses three integrated systems: (1) EcoGrid—an open architecture for data access; (2) a Semantic Mediation System based on domain-specific ontologies; and (3) an Analysis and Modeling System that supports semantically integrated analytical workflows. Multidisciplinary scientists and programmers from multiple institutions comprise the core development team. SEEK design and development are informed by three multidisciplinary teams of scientists organized in Working Groups. The Biodiversity and Ecological Analysis and Modeling Working Group informs development through evaluation of SEEK efficacy in addressing biodiversity and ecological questions. The Knowledge Representation Working Group provides knowledge representation requirements from the domain sciences and develops the corresponding knowledge representations (ontologies) to support the assembly of analytical workflows in the Analysis and Modeling System, and the intelligent data and service discovery in the EcoGrid. A Biological Classification and Nomenclature Working Group investigates solutions to mediating among multiple taxonomies for naming organisms. A multifaceted education, outreach and training program ensures that the SEEK research products, software, and information technology infrastructure optimally benefit the target communities. © Springer Science+Business Media, LLC 2007 |
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