1,240 research outputs found

    Situational Enterprise Services

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    The ability to rapidly find potential business partners as well as rapidly set up a collaborative business process is desirable in the face of market turbulence. Collaborative business processes are increasingly dependent on the integration of business information systems. Traditional linking of business processes has a large ad hoc character. Implementing situational enterprise services in an appropriate way will deliver the business more flexibility, adaptability and agility. Service-oriented architectures (SOA) are rapidly becoming the dominant computing paradigm. It is now being embraced by organizations everywhere as the key to business agility. Web 2.0 technologies such as AJAX on the other hand provide good user interactions for successful service discovery, selection, adaptation, invocation and service construction. They also balance automatic integration of services and human interactions, disconnecting content from presentation in the delivery of the service. Another Web technology, such as semantic Web, makes automatic service discovery, mediation and composition possible. Integrating SOA, Web 2.0 Technologies and Semantic Web into a service-oriented virtual enterprise connects business processes in a much more horizontal fashion. To be able run these services consistently across the enterprise, an enterprise infrastructure that provides enterprise architecture and security foundation is necessary. The world is constantly changing. So does the business environment. An agile enterprise needs to be able to quickly and cost-effectively change how it does business and who it does business with. Knowing, adapting to diffident situations is an important aspect of today’s business environment. The changes in an operating environment can happen implicitly and explicitly. The changes can be caused by different factors in the application domain. Changes can also happen for the purpose of organizing information in a better way. Changes can be further made according to the users' needs such as incorporating additional functionalities. Handling and managing diffident situations of service-oriented enterprises are important aspects of business environment. In the chapter, we will investigate how to apply new Web technologies to develop, deploy and executing enterprise services

    Towards a service-oriented e-infrastructure for multidisciplinary environmental research

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    Research e-infrastructures are considered to have generic and thematic parts. The generic part provids high-speed networks, grid (large-scale distributed computing) and database systems (digital repositories and data transfer systems) applicable to all research commnities irrespective of discipline. Thematic parts are specific deployments of e-infrastructures to support diverse virtual research communities. The needs of a virtual community of multidisciplinary envronmental researchers are yet to be investigated. We envisage and argue for an e-infrastructure that will enable environmental researchers to develop environmental models and software entirely out of existing components through loose coupling of diverse digital resources based on the service-oriented achitecture. We discuss four specific aspects for consideration for a future e-infrastructure: 1) provision of digital resources (data, models & tools) as web services, 2) dealing with stateless and non-transactional nature of web services using workflow management systems, 3) enabling web servce discovery, composition and orchestration through semantic registries, and 4) creating synergy with existing grid infrastructures

    Automatic annotation of bioinformatics workflows with biomedical ontologies

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    Legacy scientific workflows, and the services within them, often present scarce and unstructured (i.e. textual) descriptions. This makes it difficult to find, share and reuse them, thus dramatically reducing their value to the community. This paper presents an approach to annotating workflows and their subcomponents with ontology terms, in an attempt to describe these artifacts in a structured way. Despite a dearth of even textual descriptions, we automatically annotated 530 myExperiment bioinformatics-related workflows, including more than 2600 workflow-associated services, with relevant ontological terms. Quantitative evaluation of the Information Content of these terms suggests that, in cases where annotation was possible at all, the annotation quality was comparable to manually curated bioinformatics resources.Comment: 6th International Symposium on Leveraging Applications (ISoLA 2014 conference), 15 pages, 4 figure

    Semantic web service automation with lightweight annotations

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    Web services, both RESTful and WSDL-based, are an increasingly important part of the Web. With the application of semantic technologies, we can achieve automation of the use of those services. In this paper, we present WSMO-Lite and MicroWSMO, two related lightweight approaches to semantic Web service description, evolved from the WSMO framework. WSMO-Lite uses SAWSDL to annotate WSDL-based services, whereas MicroWSMO uses the hRESTS microformat to annotate RESTful APIs and services. Both frameworks share an ontology for service semantics together with most of automation algorithms

    Semi-automatic Web service generation and classification

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    This is an electronic version of the paper presented at the Semantic and Dynamic Web processes Workshop during the IEEE International Conference on Web Services, held in Orlando on 2005The convergence of semantic web techniques with web service technologies has enabled the emergence of so-called semantic web services. This new kind of services enacts the automatic manipulation of services by software programs, to perform tasks such as automatic service location, composition, and invocation. In this paper, we propose methods and techniques that enable the semi-automatic generation, deployment, semantic annotation and classification of web services

    A topic modeling approach for web service annotation

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    The actual implementation of semantic-based mechanisms for service retrieval has been restricted, given the resource-intensive procedure involved in the formal specification of services, which generally comprises associating semantic annotations to their documentation sources. Typically, developer performs such a procedure by hand, requiring specialized knowledge on models for semantic description of services (e.g. OWL-S, WSMO, SAWSDL), as well as formal specifications of knowledge. Thus, this semantic-based service description procedure turns out to be a cumbersome and error-prone task. This paper introduces a proposal for service annotation, based on processing web service documentation for extracting information regarding its offered capabilities. By uncovering the hidden semantic structure of such information through statistical analysis techniques, we are able to associate meaningful annotations to the services operations/resources, while grouping those operations into non-exclusive semantic related categories. This research paper belongs to the TelComp 2.0 project, which Colciencas and University of Cauca founded in cooperation.En términos prácticos, la implementación de mecanismos de recuperación de servicios basados en semántica ha sido limitada, debido al costoso procedimiento que involucra la especificación formal de servicios. Este procedimiento comprende una tarea dispendiosa de anotación semántica, la cual se lleva a cabo manualmente por desarrolladores de servicios, quienes, además, deben conocer modelos para la descripción semántica de este tipo de recursos (p. ej. OWL-S, WSMO, SAWSDL). Para superar esta limitación, este artículo introduce una propuesta para la anotación de servicios web, basada en el procesamiento de su documentación disponible, para extraer la información relacionada con las capacidades que estos ofrecen. Al descubrir la estructura semántica oculta de dicha información, a través de técnicas de análisis estadístico, el mecanismo propuesto es capaz de asociar anotaciones relevantes a las operaciones/recursos de los servicios, así como agruparlos en categorías semánticas no exclusivas. Este artículo de investigación está enmarcado en del proyecto TelComp 2.0, financiado por Colciencias y la Universidad del Cauca

    Un enfoque basado en modelos temáticos para la anotación semántica de servicios

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    The actual implementation of semantic-based mechanisms for service retrieval has been restricted, given the resource-intensive procedure involved in the formal specification of services, which generally comprises associating semantic annotations to their documentation sources. Typically, developer performs such a procedure by hand, requiring specialized knowledge on models for semantic description of services (e.g. OWL-S, WSMO, SAWSDL), as well as formal specifications of knowledge. Thus, this semantic-based service description procedure turns out to be a cumbersome and error-prone task. This paper introduces a proposal forservice annotation, based on processing web service documentation for extracting information regarding its offered capabilities. By uncovering the hidden semantic structure of such information through statistical analysis techniques, we are able to associate meaningful annotations to the services operations/resources, while grouping those operations into non-exclusive semantic related categories. This research paper belongs to the TelComp 2.0 project, which Colciencas and University of Cauca founded in cooperation.En términos prácticos, la implementación de mecanismos de recuperación de servicios basados en semántica ha sido limitada, debido al costoso procedimiento que involucra la especificación formal de servicios. Este procedimiento comprende una tarea dispendiosa de anotación semántica, la cual se lleva a cabo manualmente por desarrolladores de servicios, quienes, además, deben conocer modelos para la descripción semántica de este tipo de recursos (p. ej. OWL-S, WSMO, SAWSDL). Para superaresta limitación, este artículo introduce una propuesta para la anotación de servicios web, basada en el procesamiento de su documentación disponible, para extraer la información relacionada con las capacidades que estos ofrecen. Al descubrir la estructura semántica oculta de dicha información, a través de técnicas de análisis estadístico, el mecanismo propuesto es capaz de asociar anotaciones relevantes a las operaciones/recursos de losservicios, así como agruparlos en categorías semánticas no exclusivas. Este artículo de investigación está enmarcado en del proyecto TelComp 2.0, financiado por Colciencias y la Universidad del Cauca
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