A computational intelligence method for traversing dynamically constructed networks of knowledge
Abstract A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested aut...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Curran, Kevin [verfasserIn] Baumgarten, Matthias [verfasserIn] Mulvenna, Maurice [verfasserIn] Nugent, Chris [verfasserIn] Greer, Kieran [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2008 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Telecommunication systems - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993, 40(2008), 1-2 vom: 03. Okt., Seite 27-37 |
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| Übergeordnetes Werk: |
volume:40 ; year:2008 ; number:1-2 ; day:03 ; month:10 ; pages:27-37 |
| Links: |
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| DOI / URN: |
10.1007/s11235-008-9128-7 |
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| Katalog-ID: |
SPR017953405 |
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| 245 | 1 | 2 | |a A computational intelligence method for traversing dynamically constructed networks of knowledge |
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| 520 | |a Abstract A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested autonomic supporting infrastructure whenever possible. A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be retrieved efficiently. The rationale of the knowledge network is to act as a middle layer that connects to a multitude of sources, organises them based on various concepts and finally provides well-structured, pre-organised knowledge to individual services and applications. To use the knowledge network we need a querying mechanism to be able to retrieve information. The knowledge network will organise itself in an autonomous manner and it is possible to use the querying mechanism also as part of the knowledge organization mechanism, to autonomously create temporary views that reflect the use of the system. This paper is an attempt to investigate the peculiarities of node behaviour in traversing such a knowledge network. We investigate a variety of methods of traversing a knowledge network. | ||
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| 650 | 4 | |a Knowledge |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Network |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Self-organisation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Self-adaptation |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Baumgarten, Matthias |e verfasserin |4 aut | |
| 700 | 1 | |a Mulvenna, Maurice |e verfasserin |4 aut | |
| 700 | 1 | |a Nugent, Chris |e verfasserin |4 aut | |
| 700 | 1 | |a Greer, Kieran |e verfasserin |4 aut | |
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10.1007/s11235-008-9128-7 doi (DE-627)SPR017953405 (SPR)s11235-008-9128-7-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl 05.00 bkl Curran, Kevin verfasserin aut A computational intelligence method for traversing dynamically constructed networks of knowledge 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested autonomic supporting infrastructure whenever possible. A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be retrieved efficiently. The rationale of the knowledge network is to act as a middle layer that connects to a multitude of sources, organises them based on various concepts and finally provides well-structured, pre-organised knowledge to individual services and applications. To use the knowledge network we need a querying mechanism to be able to retrieve information. The knowledge network will organise itself in an autonomous manner and it is possible to use the querying mechanism also as part of the knowledge organization mechanism, to autonomously create temporary views that reflect the use of the system. This paper is an attempt to investigate the peculiarities of node behaviour in traversing such a knowledge network. We investigate a variety of methods of traversing a knowledge network. Network simulation (dpeaa)DE-He213 Autonomous (dpeaa)DE-He213 Knowledge (dpeaa)DE-He213 Network (dpeaa)DE-He213 Self-organisation (dpeaa)DE-He213 Self-adaptation (dpeaa)DE-He213 Baumgarten, Matthias verfasserin aut Mulvenna, Maurice verfasserin aut Nugent, Chris verfasserin aut Greer, Kieran verfasserin aut Enthalten in Telecommunication systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 40(2008), 1-2 vom: 03. Okt., Seite 27-37 (DE-627)319194779 (DE-600)2024222-0 1572-9451 nnns volume:40 year:2008 number:1-2 day:03 month:10 pages:27-37 https://dx.doi.org/10.1007/s11235-008-9128-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE 05.00 ASE AR 40 2008 1-2 03 10 27-37 |
| spelling |
10.1007/s11235-008-9128-7 doi (DE-627)SPR017953405 (SPR)s11235-008-9128-7-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl 05.00 bkl Curran, Kevin verfasserin aut A computational intelligence method for traversing dynamically constructed networks of knowledge 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested autonomic supporting infrastructure whenever possible. A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be retrieved efficiently. The rationale of the knowledge network is to act as a middle layer that connects to a multitude of sources, organises them based on various concepts and finally provides well-structured, pre-organised knowledge to individual services and applications. To use the knowledge network we need a querying mechanism to be able to retrieve information. The knowledge network will organise itself in an autonomous manner and it is possible to use the querying mechanism also as part of the knowledge organization mechanism, to autonomously create temporary views that reflect the use of the system. This paper is an attempt to investigate the peculiarities of node behaviour in traversing such a knowledge network. We investigate a variety of methods of traversing a knowledge network. Network simulation (dpeaa)DE-He213 Autonomous (dpeaa)DE-He213 Knowledge (dpeaa)DE-He213 Network (dpeaa)DE-He213 Self-organisation (dpeaa)DE-He213 Self-adaptation (dpeaa)DE-He213 Baumgarten, Matthias verfasserin aut Mulvenna, Maurice verfasserin aut Nugent, Chris verfasserin aut Greer, Kieran verfasserin aut Enthalten in Telecommunication systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 40(2008), 1-2 vom: 03. Okt., Seite 27-37 (DE-627)319194779 (DE-600)2024222-0 1572-9451 nnns volume:40 year:2008 number:1-2 day:03 month:10 pages:27-37 https://dx.doi.org/10.1007/s11235-008-9128-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE 05.00 ASE AR 40 2008 1-2 03 10 27-37 |
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10.1007/s11235-008-9128-7 doi (DE-627)SPR017953405 (SPR)s11235-008-9128-7-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl 05.00 bkl Curran, Kevin verfasserin aut A computational intelligence method for traversing dynamically constructed networks of knowledge 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested autonomic supporting infrastructure whenever possible. A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be retrieved efficiently. The rationale of the knowledge network is to act as a middle layer that connects to a multitude of sources, organises them based on various concepts and finally provides well-structured, pre-organised knowledge to individual services and applications. To use the knowledge network we need a querying mechanism to be able to retrieve information. The knowledge network will organise itself in an autonomous manner and it is possible to use the querying mechanism also as part of the knowledge organization mechanism, to autonomously create temporary views that reflect the use of the system. This paper is an attempt to investigate the peculiarities of node behaviour in traversing such a knowledge network. We investigate a variety of methods of traversing a knowledge network. Network simulation (dpeaa)DE-He213 Autonomous (dpeaa)DE-He213 Knowledge (dpeaa)DE-He213 Network (dpeaa)DE-He213 Self-organisation (dpeaa)DE-He213 Self-adaptation (dpeaa)DE-He213 Baumgarten, Matthias verfasserin aut Mulvenna, Maurice verfasserin aut Nugent, Chris verfasserin aut Greer, Kieran verfasserin aut Enthalten in Telecommunication systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 40(2008), 1-2 vom: 03. Okt., Seite 27-37 (DE-627)319194779 (DE-600)2024222-0 1572-9451 nnns volume:40 year:2008 number:1-2 day:03 month:10 pages:27-37 https://dx.doi.org/10.1007/s11235-008-9128-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE 05.00 ASE AR 40 2008 1-2 03 10 27-37 |
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10.1007/s11235-008-9128-7 doi (DE-627)SPR017953405 (SPR)s11235-008-9128-7-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl 05.00 bkl Curran, Kevin verfasserin aut A computational intelligence method for traversing dynamically constructed networks of knowledge 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested autonomic supporting infrastructure whenever possible. A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be retrieved efficiently. The rationale of the knowledge network is to act as a middle layer that connects to a multitude of sources, organises them based on various concepts and finally provides well-structured, pre-organised knowledge to individual services and applications. To use the knowledge network we need a querying mechanism to be able to retrieve information. The knowledge network will organise itself in an autonomous manner and it is possible to use the querying mechanism also as part of the knowledge organization mechanism, to autonomously create temporary views that reflect the use of the system. This paper is an attempt to investigate the peculiarities of node behaviour in traversing such a knowledge network. We investigate a variety of methods of traversing a knowledge network. Network simulation (dpeaa)DE-He213 Autonomous (dpeaa)DE-He213 Knowledge (dpeaa)DE-He213 Network (dpeaa)DE-He213 Self-organisation (dpeaa)DE-He213 Self-adaptation (dpeaa)DE-He213 Baumgarten, Matthias verfasserin aut Mulvenna, Maurice verfasserin aut Nugent, Chris verfasserin aut Greer, Kieran verfasserin aut Enthalten in Telecommunication systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 40(2008), 1-2 vom: 03. Okt., Seite 27-37 (DE-627)319194779 (DE-600)2024222-0 1572-9451 nnns volume:40 year:2008 number:1-2 day:03 month:10 pages:27-37 https://dx.doi.org/10.1007/s11235-008-9128-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE 05.00 ASE AR 40 2008 1-2 03 10 27-37 |
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10.1007/s11235-008-9128-7 doi (DE-627)SPR017953405 (SPR)s11235-008-9128-7-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl 05.00 bkl Curran, Kevin verfasserin aut A computational intelligence method for traversing dynamically constructed networks of knowledge 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested autonomic supporting infrastructure whenever possible. A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be retrieved efficiently. The rationale of the knowledge network is to act as a middle layer that connects to a multitude of sources, organises them based on various concepts and finally provides well-structured, pre-organised knowledge to individual services and applications. To use the knowledge network we need a querying mechanism to be able to retrieve information. The knowledge network will organise itself in an autonomous manner and it is possible to use the querying mechanism also as part of the knowledge organization mechanism, to autonomously create temporary views that reflect the use of the system. This paper is an attempt to investigate the peculiarities of node behaviour in traversing such a knowledge network. We investigate a variety of methods of traversing a knowledge network. Network simulation (dpeaa)DE-He213 Autonomous (dpeaa)DE-He213 Knowledge (dpeaa)DE-He213 Network (dpeaa)DE-He213 Self-organisation (dpeaa)DE-He213 Self-adaptation (dpeaa)DE-He213 Baumgarten, Matthias verfasserin aut Mulvenna, Maurice verfasserin aut Nugent, Chris verfasserin aut Greer, Kieran verfasserin aut Enthalten in Telecommunication systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 40(2008), 1-2 vom: 03. Okt., Seite 27-37 (DE-627)319194779 (DE-600)2024222-0 1572-9451 nnns volume:40 year:2008 number:1-2 day:03 month:10 pages:27-37 https://dx.doi.org/10.1007/s11235-008-9128-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE 05.00 ASE AR 40 2008 1-2 03 10 27-37 |
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Enthalten in Telecommunication systems 40(2008), 1-2 vom: 03. Okt., Seite 27-37 volume:40 year:2008 number:1-2 day:03 month:10 pages:27-37 |
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Network simulation Autonomous Knowledge Network Self-organisation Self-adaptation |
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Telecommunication systems |
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Curran, Kevin @@aut@@ Baumgarten, Matthias @@aut@@ Mulvenna, Maurice @@aut@@ Nugent, Chris @@aut@@ Greer, Kieran @@aut@@ |
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Curran, Kevin |
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Curran, Kevin ddc 620 bkl 53.00 bkl 05.00 misc Network simulation misc Autonomous misc Knowledge misc Network misc Self-organisation misc Self-adaptation A computational intelligence method for traversing dynamically constructed networks of knowledge |
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620 ASE 53.00 bkl 05.00 bkl A computational intelligence method for traversing dynamically constructed networks of knowledge Network simulation (dpeaa)DE-He213 Autonomous (dpeaa)DE-He213 Knowledge (dpeaa)DE-He213 Network (dpeaa)DE-He213 Self-organisation (dpeaa)DE-He213 Self-adaptation (dpeaa)DE-He213 |
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ddc 620 bkl 53.00 bkl 05.00 misc Network simulation misc Autonomous misc Knowledge misc Network misc Self-organisation misc Self-adaptation |
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A computational intelligence method for traversing dynamically constructed networks of knowledge |
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computational intelligence method for traversing dynamically constructed networks of knowledge |
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A computational intelligence method for traversing dynamically constructed networks of knowledge |
| abstract |
Abstract A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested autonomic supporting infrastructure whenever possible. A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be retrieved efficiently. The rationale of the knowledge network is to act as a middle layer that connects to a multitude of sources, organises them based on various concepts and finally provides well-structured, pre-organised knowledge to individual services and applications. To use the knowledge network we need a querying mechanism to be able to retrieve information. The knowledge network will organise itself in an autonomous manner and it is possible to use the querying mechanism also as part of the knowledge organization mechanism, to autonomously create temporary views that reflect the use of the system. This paper is an attempt to investigate the peculiarities of node behaviour in traversing such a knowledge network. We investigate a variety of methods of traversing a knowledge network. |
| abstractGer |
Abstract A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested autonomic supporting infrastructure whenever possible. A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be retrieved efficiently. The rationale of the knowledge network is to act as a middle layer that connects to a multitude of sources, organises them based on various concepts and finally provides well-structured, pre-organised knowledge to individual services and applications. To use the knowledge network we need a querying mechanism to be able to retrieve information. The knowledge network will organise itself in an autonomous manner and it is possible to use the querying mechanism also as part of the knowledge organization mechanism, to autonomously create temporary views that reflect the use of the system. This paper is an attempt to investigate the peculiarities of node behaviour in traversing such a knowledge network. We investigate a variety of methods of traversing a knowledge network. |
| abstract_unstemmed |
Abstract A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested autonomic supporting infrastructure whenever possible. A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be retrieved efficiently. The rationale of the knowledge network is to act as a middle layer that connects to a multitude of sources, organises them based on various concepts and finally provides well-structured, pre-organised knowledge to individual services and applications. To use the knowledge network we need a querying mechanism to be able to retrieve information. The knowledge network will organise itself in an autonomous manner and it is possible to use the querying mechanism also as part of the knowledge organization mechanism, to autonomously create temporary views that reflect the use of the system. This paper is an attempt to investigate the peculiarities of node behaviour in traversing such a knowledge network. We investigate a variety of methods of traversing a knowledge network. |
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A computational intelligence method for traversing dynamically constructed networks of knowledge |
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https://dx.doi.org/10.1007/s11235-008-9128-7 |
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Baumgarten, Matthias Mulvenna, Maurice Nugent, Chris Greer, Kieran |
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Baumgarten, Matthias Mulvenna, Maurice Nugent, Chris Greer, Kieran |
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| doi_str |
10.1007/s11235-008-9128-7 |
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2024-07-03T16:18:14.837Z |
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| score |
7.3972235 |