The Experts below are selected from a list of 60 Experts worldwide ranked by ideXlab platform
Puwei Wang - One of the best experts on this subject based on the ideXlab platform.
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Specifying and Composing Web Services with an Environment Ontology-Based Approach
International Journal of Web Services Research, 2010Co-Authors: Puwei Wang, Zhi Jin, Lin LiuAbstract:Precise capability specification is the key for identifying and composing the right Web services. This paper specifies service capabilities in terms of the Environment entities from the application domain and the effects imposed by the Web service on these entities. An Environment ontology for Web services is adopted to provide formal sharable representations of the domain-specific Environment entities. A hierarchical state machine is constructed for each Environment Entity to describe its behaviors, and the effects imposed by a Web service are described as the state transitions traces of Environment entities, which define the capability of the Web service. Web service composition that satisfies a set of requested effects is then conducted by reasoning on the effects of services. The proposed approach emphasizes the external manifestation of Web services and service composition based on the effect reasoning. An example of online travel service illustrates the proposed approach.
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building toward capability specifications of web services based on an Environment ontology
IEEE Transactions on Knowledge and Data Engineering, 2008Co-Authors: Puwei Wang, Zhi Jin, Lin Liu, Guangjun CaiAbstract:Automated Web service discovery requires Web service capability specifications of a high precision. Semantic-based approaches are inherently more precise than conventional keyword-based approaches. This paper proposes to build capability specifications of Web services based on an Environment ontology, the main concepts of which are the Environment entities in a particular application domain and their interactions. For each Environment Entity, there is a tree-like hierarchical state machine modeling the effects that are to be achieved by the Web services on this Environment Entity. The proposed approach is based on the assumption that the Web service capability specifications, built on the effects of the Web services on the Environment entities, are more accessible and observable. Algorithms for constructing the domain Environment ontology and the matchmaking between the Web service capability specifications are presented to show how Web service discovery is supported. An example on travel service is given to illustrate this proposed approach.
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ICSOC Workshops - Web service composition: an approach using effect-based reasoning
Service-Oriented Computing – ICSOC 2007, 2007Co-Authors: Puwei Wang, Zhi JinAbstract:This paper proposes an ontology-based approach to compose Web services using the effect-based reasoning. The Environment ontology is to provide formal and sharable specifications of Environment entities of Web services in a particular domain. For each Environment Entity, there is a corresponding hierarchical state machine for specifying its dynamic characteristics. Then, this approach proposes to use the effects of a Web service on its Environment entities for specifying the Web service's capabilities and designates the effect as the traces of the state transitions the Web service can impose on its Environment entities. So, the service composition can be conducted by the effect-based reasoning.
Guangjun Cai - One of the best experts on this subject based on the ideXlab platform.
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building toward capability specifications of web services based on an Environment ontology
IEEE Transactions on Knowledge and Data Engineering, 2008Co-Authors: Puwei Wang, Zhi Jin, Lin Liu, Guangjun CaiAbstract:Automated Web service discovery requires Web service capability specifications of a high precision. Semantic-based approaches are inherently more precise than conventional keyword-based approaches. This paper proposes to build capability specifications of Web services based on an Environment ontology, the main concepts of which are the Environment entities in a particular application domain and their interactions. For each Environment Entity, there is a tree-like hierarchical state machine modeling the effects that are to be achieved by the Web services on this Environment Entity. The proposed approach is based on the assumption that the Web service capability specifications, built on the effects of the Web services on the Environment entities, are more accessible and observable. Algorithms for constructing the domain Environment ontology and the matchmaking between the Web service capability specifications are presented to show how Web service discovery is supported. An example on travel service is given to illustrate this proposed approach.
Zhi Jin - One of the best experts on this subject based on the ideXlab platform.
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Specifying and Composing Web Services with an Environment Ontology-Based Approach
International Journal of Web Services Research, 2010Co-Authors: Puwei Wang, Zhi Jin, Lin LiuAbstract:Precise capability specification is the key for identifying and composing the right Web services. This paper specifies service capabilities in terms of the Environment entities from the application domain and the effects imposed by the Web service on these entities. An Environment ontology for Web services is adopted to provide formal sharable representations of the domain-specific Environment entities. A hierarchical state machine is constructed for each Environment Entity to describe its behaviors, and the effects imposed by a Web service are described as the state transitions traces of Environment entities, which define the capability of the Web service. Web service composition that satisfies a set of requested effects is then conducted by reasoning on the effects of services. The proposed approach emphasizes the external manifestation of Web services and service composition based on the effect reasoning. An example of online travel service illustrates the proposed approach.
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building toward capability specifications of web services based on an Environment ontology
IEEE Transactions on Knowledge and Data Engineering, 2008Co-Authors: Puwei Wang, Zhi Jin, Lin Liu, Guangjun CaiAbstract:Automated Web service discovery requires Web service capability specifications of a high precision. Semantic-based approaches are inherently more precise than conventional keyword-based approaches. This paper proposes to build capability specifications of Web services based on an Environment ontology, the main concepts of which are the Environment entities in a particular application domain and their interactions. For each Environment Entity, there is a tree-like hierarchical state machine modeling the effects that are to be achieved by the Web services on this Environment Entity. The proposed approach is based on the assumption that the Web service capability specifications, built on the effects of the Web services on the Environment entities, are more accessible and observable. Algorithms for constructing the domain Environment ontology and the matchmaking between the Web service capability specifications are presented to show how Web service discovery is supported. An example on travel service is given to illustrate this proposed approach.
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ICSOC Workshops - Web service composition: an approach using effect-based reasoning
Service-Oriented Computing – ICSOC 2007, 2007Co-Authors: Puwei Wang, Zhi JinAbstract:This paper proposes an ontology-based approach to compose Web services using the effect-based reasoning. The Environment ontology is to provide formal and sharable specifications of Environment entities of Web services in a particular domain. For each Environment Entity, there is a corresponding hierarchical state machine for specifying its dynamic characteristics. Then, this approach proposes to use the effects of a Web service on its Environment entities for specifying the Web service's capabilities and designates the effect as the traces of the state transitions the Web service can impose on its Environment entities. So, the service composition can be conducted by the effect-based reasoning.
Lin Liu - One of the best experts on this subject based on the ideXlab platform.
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Specifying and Composing Web Services with an Environment Ontology-Based Approach
International Journal of Web Services Research, 2010Co-Authors: Puwei Wang, Zhi Jin, Lin LiuAbstract:Precise capability specification is the key for identifying and composing the right Web services. This paper specifies service capabilities in terms of the Environment entities from the application domain and the effects imposed by the Web service on these entities. An Environment ontology for Web services is adopted to provide formal sharable representations of the domain-specific Environment entities. A hierarchical state machine is constructed for each Environment Entity to describe its behaviors, and the effects imposed by a Web service are described as the state transitions traces of Environment entities, which define the capability of the Web service. Web service composition that satisfies a set of requested effects is then conducted by reasoning on the effects of services. The proposed approach emphasizes the external manifestation of Web services and service composition based on the effect reasoning. An example of online travel service illustrates the proposed approach.
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building toward capability specifications of web services based on an Environment ontology
IEEE Transactions on Knowledge and Data Engineering, 2008Co-Authors: Puwei Wang, Zhi Jin, Lin Liu, Guangjun CaiAbstract:Automated Web service discovery requires Web service capability specifications of a high precision. Semantic-based approaches are inherently more precise than conventional keyword-based approaches. This paper proposes to build capability specifications of Web services based on an Environment ontology, the main concepts of which are the Environment entities in a particular application domain and their interactions. For each Environment Entity, there is a tree-like hierarchical state machine modeling the effects that are to be achieved by the Web services on this Environment Entity. The proposed approach is based on the assumption that the Web service capability specifications, built on the effects of the Web services on the Environment entities, are more accessible and observable. Algorithms for constructing the domain Environment ontology and the matchmaking between the Web service capability specifications are presented to show how Web service discovery is supported. An example on travel service is given to illustrate this proposed approach.
Benoit Morisset - One of the best experts on this subject based on the ideXlab platform.
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Local Map Extrapolation in Dynamic Environments
2014Co-Authors: Romain Drouilly, Panagiotis Papadakis, Patrick Rives, Benoit MorissetAbstract:We present a generative approach to perform robot mapping that is based on an intelligent integration of static and dynamic Entity classes within an Environment, in order to extrap-olate map information at various resolutions. Our framework differentiates from the conventional standpoint where different mapping levels are overlaid on one another, by fusing information from different mapping levels that allows us to infer new information within partially mapped Environments. Towards this goal, we develop a class-dependent map extrapolation function that captures the discriminative relation between an Environment Entity and the mapping procedure. We illustrate the advantages in using heterogeneous contextual information when mapping an Environment using a prototype implementation of our approach on an indoor robot platform, giving very promising results.
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SMC - Local map extrapolation in dynamic Environments
2014 IEEE International Conference on Systems Man and Cybernetics (SMC), 2014Co-Authors: Romain Drouilly, Panagiotis Papadakis, Patrick Rives, Benoit MorissetAbstract:We present a generative approach to perform robot mapping that is based on an intelligent integration of static and dynamic Entity classes within an Environment, in order to extrapolate map information at various resolutions. Our framework differentiates from the conventional standpoint where different mapping levels are overlaid on one another, by fusing information from different mapping levels that allows us to infer new information within partially mapped Environments. Towards this goal, we develop a class-dependent map extrapolation function that captures the discriminative relation between an Environment Entity and the mapping procedure. We illustrate the advantages in using heterogeneous contextual information when mapping an Environment using a prototype implementation of our approach on an indoor robot platform, giving very promising results.