The Experts below are selected from a list of 21303 Experts worldwide ranked by ideXlab platform
Quan Z Sheng - One of the best experts on this subject based on the ideXlab platform.
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a semantically enhanced Service Repository for user centric Service discovery and management
Data and Knowledge Engineering, 2012Co-Authors: Quan Z Sheng, Jun Han, Chengfei LiuAbstract:User centricity represents a new trend in the currently flourishing Service oriented computing era. By upgrading end-users to prosumers (producer+consumer) and involving them in the process of Service creation, both Service consumers and Service providers can benefit from a cheaper, faster, and better Service provisioning. The EU-IST research project OPUCE (Open Platform for User-Centric Service Creation and Execution) aims at building a unique Service environment by integrating recent advances in networking, communication and information technology where personalized Services can be dynamically created and managed by prosumers. This paper particularly discusses the design and development of a Service Repository, which is at the very core of the OPUCE platform. The Repository consists of two main components: a fully functioned XML registry supporting facet-based access to Service descriptions, and a novel semantic Service browser that supports prosumers who are not technically experienced to explore and discover Services in an intuitive and visualized manner. We demonstrate the benefits of our design by conducting usability and performance studies.
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XDM-Compatible Service Repository for User-Centric Service Creation and Discovery
2009 IEEE International Conference on Web Services, 2009Co-Authors: Jian Yu, Paolo Falcarin, Sancho Rego, Isabel Ordas, Eduardo Martins, Ruben Trapero, Quan Z ShengAbstract:The key objective of OPUCE system is to enable the participation of end-users in the management of their own Services, by providing them with innovative tools which allow an easy creation and delivery of personalized communication and information Services. This paper describes the OPUCE Service and component Repository, which extends the OMA OSPE Service model storage approach XDM. By integrating an ebXML registry using the native notification mechanisms of XDM, the search capability of the Repository is dramatically improved. Moreover, this Repository also exploits semantic Web technology to provide an intuitive visualized browser for convenient Service exploring.
Mengchu Zhou - One of the best experts on this subject based on the ideXlab platform.
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a multilevel index model to expedite web Service discovery and composition in large scale Service repositories
IEEE Transactions on Services Computing, 2016Co-Authors: Chungang Yan, Zhijun Ding, Guanjun Liu, Pengwei Wang, Changjun Jiang, Mengchu ZhouAbstract:The number of web Services has grown drastically. Then how to manage them efficiently in a Service Repository is an important issue to address. Given a special field, there often exists an efficient data structure for a class of objects, e.g., the Google’ Bigtable is very suitable for webpages’ storage and management. Based on the theory of the equivalence relations and quotient sets, this work proposes a multilevel index model for large-scale Service repositories, which can be used to reduce the execution time of Service discovery and composition. Its novel use of keys as inspired by the key in relational database can effectively remove the redundancy of the commonly-used inverted index. Its four function-based operations are for the first time proposed to manage and maintain Services in a Repository. The experiments validate that the proposed model is more efficient than the existing structures, i.e., sequential and inverted index ones.
Chengfei Liu - One of the best experts on this subject based on the ideXlab platform.
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a semantically enhanced Service Repository for user centric Service discovery and management
Data and Knowledge Engineering, 2012Co-Authors: Quan Z Sheng, Jun Han, Chengfei LiuAbstract:User centricity represents a new trend in the currently flourishing Service oriented computing era. By upgrading end-users to prosumers (producer+consumer) and involving them in the process of Service creation, both Service consumers and Service providers can benefit from a cheaper, faster, and better Service provisioning. The EU-IST research project OPUCE (Open Platform for User-Centric Service Creation and Execution) aims at building a unique Service environment by integrating recent advances in networking, communication and information technology where personalized Services can be dynamically created and managed by prosumers. This paper particularly discusses the design and development of a Service Repository, which is at the very core of the OPUCE platform. The Repository consists of two main components: a fully functioned XML registry supporting facet-based access to Service descriptions, and a novel semantic Service browser that supports prosumers who are not technically experienced to explore and discover Services in an intuitive and visualized manner. We demonstrate the benefits of our design by conducting usability and performance studies.
Bofeng Zhang - One of the best experts on this subject based on the ideXlab platform.
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dynamic composition of web Services using efficient planners in large scale Service Repository
Knowledge Based Systems, 2014Co-Authors: Guobing Zou, Yanglan Gan, Yixin Chen, Bofeng ZhangAbstract:Web Services as independent software components are published by Service providers over the Internet and invoked by Service requesters for their desired functionalities. In many cases, however, there is no single Service in a Web Service Repository satisfying a Service request. So how to design an efficient method for composing a chain of connected Services has become an important research issue. Recently, much research has been done into the search time reduction when finding a composite Service. However, most methods take a long time for traversing all of the Web Services in a Service Repository, thus it makes their response time significantly overrun a user's waiting patience. This paper develops an efficient approach for automatic composition of Web Services using the state-of-the-art Artificial Intelligence (AI) planners, where a Web Service composition (WSC) problem is regarded as a WSC planning problem. Unlike most traditional WSC methods that traverse a Web Service Repository many times, our approach converts a Web Service Repository into a planning domain in PDDL just once, which will only be regenerated when the Web Service Repository changes. This treatment substantially reduces the response time and improves the scalability of solving WSC problems. We have implemented a prototype system and conducted extensive experiments on large-scale Web Service repositories. The experimental results demonstrate that our proposed approach outperforms the state-of-the-art.
Hailong Sun - One of the best experts on this subject based on the ideXlab platform.
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a probabilistic approach for web Service discovery
IEEE International Conference on Services Computing, 2013Co-Authors: Richong Zhang, Jinpeng Huai, Xiaohui Guo, Hailong SunAbstract:Web Service discovery is a vital problem in Service computing with the increasing number of Services. Existing Service discovery approaches merely focus on WSDL-based keyword search, semantic matching based on domain knowledge or ontologies, or QoS-based recommendations. The keyword search omits the underlying correlations and semantic knowledge or QoS information is not always available. In this paper, we propose a probabilistic Service discovery approach to help web Service users to retrieve related Services and to improve the search performance. Specifically, we apply a probabilistic model to characterize the latten topics between Services and queries, and then propose a matching method based on the topic relevance. Experiments on Services from a real Service Repository confirm the feasibility and efficiency of this proposed method.