A Trust-Aware Search Engine for Complex Service Computing
Service computing has become a key-enabling technology to support collaboration and interaction among business partners and customers. With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by differen...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Tang, Mingdong [verfasserIn] Zheng, Zibin [verfasserIn] Chen, Liang [verfasserIn] Liu, Jianxun [verfasserIn] Cao, Buqing [verfasserIn] You, Zhengguang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Umfang: |
1 Online-Ressource |
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| Übergeordnetes Werk: |
Enthalten in: International journal of web services research - Hershey, Pa : IGI Publ, 2004, 11(2014), 1, Seite 57-75 |
|---|---|
| Übergeordnetes Werk: |
volume:11 ; year:2014 ; number:1 ; pages:57-75 |
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| DOI / URN: |
10.4018/ijwsr.2014010103 |
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NLEJ251840220 |
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| 520 | |a Service computing has become a key-enabling technology to support collaboration and interaction among business partners and customers. With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by different providers. These services are becoming increasingly complex. Aiming at recommending high-quality and trustful services in the complex service computing environment, this paper presents a trust-aware search engine by integrating service functionalities, QoS (quality of service) and service trust. The proposed search engine primarily contains four components: keyword-based service matching, service QoS evaluation, service reputation evaluation and a hybrid ranking method which combines the results yielded by the previous three components to produce final service recommendations. To evaluate the performance of the authors' service search engine, comprehensive experiments are conducted using a real Web service dataset. The experimental results show that our approach outperforms conventional QoS-based service selection methods. Finally, a prototype is also presented to validate the authors' trust-aware Web service search engine | ||
| 653 | |a Complex Service Computing |a Quality of Service (QoS) |a Reputation |a Search Engine |a Service Ranking |a Trust | ||
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| 700 | 1 | |a Cao, Buqing |e verfasserin |4 aut | |
| 700 | 1 | |a You, Zhengguang |e verfasserin |4 aut | |
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10.4018/ijwsr.2014010103 doi (DE-627)NLEJ251840220 (VZGNL)10.4018/ijwsr.2014010103 DE-627 ger DE-627 rakwb eng Tang, Mingdong verfasserin aut A Trust-Aware Search Engine for Complex Service Computing 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Service computing has become a key-enabling technology to support collaboration and interaction among business partners and customers. With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by different providers. These services are becoming increasingly complex. Aiming at recommending high-quality and trustful services in the complex service computing environment, this paper presents a trust-aware search engine by integrating service functionalities, QoS (quality of service) and service trust. The proposed search engine primarily contains four components: keyword-based service matching, service QoS evaluation, service reputation evaluation and a hybrid ranking method which combines the results yielded by the previous three components to produce final service recommendations. To evaluate the performance of the authors' service search engine, comprehensive experiments are conducted using a real Web service dataset. The experimental results show that our approach outperforms conventional QoS-based service selection methods. Finally, a prototype is also presented to validate the authors' trust-aware Web service search engine Complex Service Computing Quality of Service (QoS) Reputation Search Engine Service Ranking Trust Zheng, Zibin verfasserin aut Chen, Liang verfasserin aut Liu, Jianxun verfasserin aut Cao, Buqing verfasserin aut You, Zhengguang verfasserin aut Enthalten in International journal of web services research Hershey, Pa : IGI Publ, 2004 11(2014), 1, Seite 57-75 Online-Ressource (DE-627)NLEJ244419698 (DE-600)2172665-6 1546-5004 nnns volume:11 year:2014 number:1 pages:57-75 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 11 2014 1 57-75 |
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10.4018/ijwsr.2014010103 doi (DE-627)NLEJ251840220 (VZGNL)10.4018/ijwsr.2014010103 DE-627 ger DE-627 rakwb eng Tang, Mingdong verfasserin aut A Trust-Aware Search Engine for Complex Service Computing 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Service computing has become a key-enabling technology to support collaboration and interaction among business partners and customers. With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by different providers. These services are becoming increasingly complex. Aiming at recommending high-quality and trustful services in the complex service computing environment, this paper presents a trust-aware search engine by integrating service functionalities, QoS (quality of service) and service trust. The proposed search engine primarily contains four components: keyword-based service matching, service QoS evaluation, service reputation evaluation and a hybrid ranking method which combines the results yielded by the previous three components to produce final service recommendations. To evaluate the performance of the authors' service search engine, comprehensive experiments are conducted using a real Web service dataset. The experimental results show that our approach outperforms conventional QoS-based service selection methods. Finally, a prototype is also presented to validate the authors' trust-aware Web service search engine Complex Service Computing Quality of Service (QoS) Reputation Search Engine Service Ranking Trust Zheng, Zibin verfasserin aut Chen, Liang verfasserin aut Liu, Jianxun verfasserin aut Cao, Buqing verfasserin aut You, Zhengguang verfasserin aut Enthalten in International journal of web services research Hershey, Pa : IGI Publ, 2004 11(2014), 1, Seite 57-75 Online-Ressource (DE-627)NLEJ244419698 (DE-600)2172665-6 1546-5004 nnns volume:11 year:2014 number:1 pages:57-75 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 11 2014 1 57-75 |
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10.4018/ijwsr.2014010103 doi (DE-627)NLEJ251840220 (VZGNL)10.4018/ijwsr.2014010103 DE-627 ger DE-627 rakwb eng Tang, Mingdong verfasserin aut A Trust-Aware Search Engine for Complex Service Computing 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Service computing has become a key-enabling technology to support collaboration and interaction among business partners and customers. With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by different providers. These services are becoming increasingly complex. Aiming at recommending high-quality and trustful services in the complex service computing environment, this paper presents a trust-aware search engine by integrating service functionalities, QoS (quality of service) and service trust. The proposed search engine primarily contains four components: keyword-based service matching, service QoS evaluation, service reputation evaluation and a hybrid ranking method which combines the results yielded by the previous three components to produce final service recommendations. To evaluate the performance of the authors' service search engine, comprehensive experiments are conducted using a real Web service dataset. The experimental results show that our approach outperforms conventional QoS-based service selection methods. Finally, a prototype is also presented to validate the authors' trust-aware Web service search engine Complex Service Computing Quality of Service (QoS) Reputation Search Engine Service Ranking Trust Zheng, Zibin verfasserin aut Chen, Liang verfasserin aut Liu, Jianxun verfasserin aut Cao, Buqing verfasserin aut You, Zhengguang verfasserin aut Enthalten in International journal of web services research Hershey, Pa : IGI Publ, 2004 11(2014), 1, Seite 57-75 Online-Ressource (DE-627)NLEJ244419698 (DE-600)2172665-6 1546-5004 nnns volume:11 year:2014 number:1 pages:57-75 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 11 2014 1 57-75 |
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10.4018/ijwsr.2014010103 doi (DE-627)NLEJ251840220 (VZGNL)10.4018/ijwsr.2014010103 DE-627 ger DE-627 rakwb eng Tang, Mingdong verfasserin aut A Trust-Aware Search Engine for Complex Service Computing 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Service computing has become a key-enabling technology to support collaboration and interaction among business partners and customers. With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by different providers. These services are becoming increasingly complex. Aiming at recommending high-quality and trustful services in the complex service computing environment, this paper presents a trust-aware search engine by integrating service functionalities, QoS (quality of service) and service trust. The proposed search engine primarily contains four components: keyword-based service matching, service QoS evaluation, service reputation evaluation and a hybrid ranking method which combines the results yielded by the previous three components to produce final service recommendations. To evaluate the performance of the authors' service search engine, comprehensive experiments are conducted using a real Web service dataset. The experimental results show that our approach outperforms conventional QoS-based service selection methods. Finally, a prototype is also presented to validate the authors' trust-aware Web service search engine Complex Service Computing Quality of Service (QoS) Reputation Search Engine Service Ranking Trust Zheng, Zibin verfasserin aut Chen, Liang verfasserin aut Liu, Jianxun verfasserin aut Cao, Buqing verfasserin aut You, Zhengguang verfasserin aut Enthalten in International journal of web services research Hershey, Pa : IGI Publ, 2004 11(2014), 1, Seite 57-75 Online-Ressource (DE-627)NLEJ244419698 (DE-600)2172665-6 1546-5004 nnns volume:11 year:2014 number:1 pages:57-75 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 11 2014 1 57-75 |
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10.4018/ijwsr.2014010103 doi (DE-627)NLEJ251840220 (VZGNL)10.4018/ijwsr.2014010103 DE-627 ger DE-627 rakwb eng Tang, Mingdong verfasserin aut A Trust-Aware Search Engine for Complex Service Computing 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Service computing has become a key-enabling technology to support collaboration and interaction among business partners and customers. With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by different providers. These services are becoming increasingly complex. Aiming at recommending high-quality and trustful services in the complex service computing environment, this paper presents a trust-aware search engine by integrating service functionalities, QoS (quality of service) and service trust. The proposed search engine primarily contains four components: keyword-based service matching, service QoS evaluation, service reputation evaluation and a hybrid ranking method which combines the results yielded by the previous three components to produce final service recommendations. To evaluate the performance of the authors' service search engine, comprehensive experiments are conducted using a real Web service dataset. The experimental results show that our approach outperforms conventional QoS-based service selection methods. Finally, a prototype is also presented to validate the authors' trust-aware Web service search engine Complex Service Computing Quality of Service (QoS) Reputation Search Engine Service Ranking Trust Zheng, Zibin verfasserin aut Chen, Liang verfasserin aut Liu, Jianxun verfasserin aut Cao, Buqing verfasserin aut You, Zhengguang verfasserin aut Enthalten in International journal of web services research Hershey, Pa : IGI Publ, 2004 11(2014), 1, Seite 57-75 Online-Ressource (DE-627)NLEJ244419698 (DE-600)2172665-6 1546-5004 nnns volume:11 year:2014 number:1 pages:57-75 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 11 2014 1 57-75 |
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Service computing has become a key-enabling technology to support collaboration and interaction among business partners and customers. With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by different providers. These services are becoming increasingly complex. Aiming at recommending high-quality and trustful services in the complex service computing environment, this paper presents a trust-aware search engine by integrating service functionalities, QoS (quality of service) and service trust. The proposed search engine primarily contains four components: keyword-based service matching, service QoS evaluation, service reputation evaluation and a hybrid ranking method which combines the results yielded by the previous three components to produce final service recommendations. To evaluate the performance of the authors' service search engine, comprehensive experiments are conducted using a real Web service dataset. The experimental results show that our approach outperforms conventional QoS-based service selection methods. Finally, a prototype is also presented to validate the authors' trust-aware Web service search engine |
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Service computing has become a key-enabling technology to support collaboration and interaction among business partners and customers. With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by different providers. These services are becoming increasingly complex. Aiming at recommending high-quality and trustful services in the complex service computing environment, this paper presents a trust-aware search engine by integrating service functionalities, QoS (quality of service) and service trust. The proposed search engine primarily contains four components: keyword-based service matching, service QoS evaluation, service reputation evaluation and a hybrid ranking method which combines the results yielded by the previous three components to produce final service recommendations. To evaluate the performance of the authors' service search engine, comprehensive experiments are conducted using a real Web service dataset. The experimental results show that our approach outperforms conventional QoS-based service selection methods. Finally, a prototype is also presented to validate the authors' trust-aware Web service search engine |
| abstract_unstemmed |
Service computing has become a key-enabling technology to support collaboration and interaction among business partners and customers. With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by different providers. These services are becoming increasingly complex. Aiming at recommending high-quality and trustful services in the complex service computing environment, this paper presents a trust-aware search engine by integrating service functionalities, QoS (quality of service) and service trust. The proposed search engine primarily contains four components: keyword-based service matching, service QoS evaluation, service reputation evaluation and a hybrid ranking method which combines the results yielded by the previous three components to produce final service recommendations. To evaluate the performance of the authors' service search engine, comprehensive experiments are conducted using a real Web service dataset. The experimental results show that our approach outperforms conventional QoS-based service selection methods. Finally, a prototype is also presented to validate the authors' trust-aware Web service search engine |
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A Trust-Aware Search Engine for Complex Service Computing |
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2014010103&buylink=true |
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| author2 |
Zheng, Zibin Chen, Liang Liu, Jianxun Cao, Buqing You, Zhengguang |
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Zheng, Zibin Chen, Liang Liu, Jianxun Cao, Buqing You, Zhengguang |
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NLEJ244419698 |
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10.4018/ijwsr.2014010103 |
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2024-07-06T11:45:00.575Z |
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With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by different providers. These services are becoming increasingly complex. Aiming at recommending high-quality and trustful services in the complex service computing environment, this paper presents a trust-aware search engine by integrating service functionalities, QoS (quality of service) and service trust. The proposed search engine primarily contains four components: keyword-based service matching, service QoS evaluation, service reputation evaluation and a hybrid ranking method which combines the results yielded by the previous three components to produce final service recommendations. To evaluate the performance of the authors' service search engine, comprehensive experiments are conducted using a real Web service dataset. 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7.39948 |