Time filter

Source Type

Shenzhen, China

Liu X.,Peking University | Zhao Q.,Peking University | Huang G.,Peking University | Mei H.,Peking University | Teng T.,Kingdee
Proceedings - 2011 IEEE 9th International Conference on Web Services, ICWS 2011 | Year: 2011

Spurred by Web 2.0 paradigm, there emerge large numbers of service mashups by composing readily accessible data and services. Mashups usually address solving situational problems and require quick and iterative development lifecyle. In this paper, we propose an approach to composing data-driven mashups, based on tag-based semantics. The core principle is deriving semantic annotations from popular tags, and associating them with programmatic inputs and outputs data. Tag-based semantics promise a quick and simple comprehension of data capabilities. Mashup developers including end-users can intuitively search desired services with tags, and combine several services by means of data flows. Our approach takes a planning technique to retrieving the potentially relevant composition opportunities. With our graphical composition user interfaces, developers can iteratively modify, adjust and refine their mashups to be more satisfying. © 2011 IEEE.

Zhang L.-J.,Kingdee | Zhang J.,Carnegie Mellon University
International Journal of Web Services Research | Year: 2013

In the current era of knowledge explosion, many fields are witnessing a tremendous amount of research and practice reported on a regular basis. How to help people effectively and efficiently study state-of-the-art knowledge in a specific field has become an urgent task yet highly challenging. On top of the Internet as an unstructured knowledge base, this paper reports the design and development of a Body of Knowledge portal (BoK), which can be used as a novel learning environment. Leveraging the key technologies of services computing (Web 2.0, Web services and Service-Oriented Architecture), a BoK provides a uniform gateway for researchers and practitioners to seamlessly study and organize knowledge from heterogeneous data sources. A service-oriented knowledge delivery mechanism is key to a BoK centered on configurable delivery protocols. As services computing having evolved as the foundational discipline supporting modern services industry, the authors used the field as an example to illustrate the technical architecture that enables the establishment of BoK in services computing. Information dissemination of BoK on mobile delivery platform is explored as well. Performance data analysis is also reported on the BoK infrastructure. © 2013, IGI Global.

Yao X.,South China University of Technology | Dai H.,South China University of Technology | Zhang Z.,South China University of Technology | Ge D.,South China University of Technology | Chen Y.,Kingdee
ICIC Express Letters, Part B: Applications | Year: 2011

Global competition and the need for rapid responsiveness of customer's orders necessitate the integration of planning, scheduling and control in a manufacturing system. This paper proposes an RFID-enhanced system framework for such integration in a make-to-order job-shop production environment, and presents job-shop scheduling problems to demonstrate the applicability of the proposed framework. The use of RFID offers better traceability and reliability on the shop floor, and makes the proposed framework in process-linked applications in various systems from flexible manufacturing systems of high automation to those operated manually. © 2011 ISSN 2185-2766.

Fiaidhi J.,Lakehead University | Fiaidhi J.,University of Western Ontario | Bojanova I.,University of Maryland University College | Zhang J.,Northern Illinois University | Zhang L.-J.,Kingdee
IT Professional | Year: 2012

Learn about the articles in this special issue and how to enforce multitenancy in cloud computing environments. © 2006 IEEE.

Lyu M.R.,Chinese University of Hong Kong | Zhang L.-J.L.J.,Kingdee
IEEE Transactions on Services Computing | Year: 2015

As the number of Web services surges rapidly, recommending the right service for various users on demand has become one of the most challenging research issues in the fields of services computing and cloud computing. This special issue focuses on the recommendation techniques for services computing and cloud computing including classic recommendation algorithms for services computing and cloud computing, emerging recommendation techniques for service selection and composition, and applications of recommendation techniques in composition of complex service mashups, ad-hoc social networks, and green cloud environment. The papers introduced in this special issue illustrate the efficiency and effectiveness of services computing and cloud computing, while demonstrating a variety of challenges that arise. It is expected that this special issue, as a whole, will provide integrated and synthesized view of the current state of the art, identify key challenges, possible research directions and opportunities for investigation, and promote community-building efforts among researchers and practitioners in the related fields. © 2015 IEEE.

Discover hidden collaborations