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Service (API) discovery and recommendation is key to the wide spread of service oriented architecture and service oriented software engineering. Service recommendation typically relies on service linkage prediction calculated by the semantic distances (or similarities) among services based on their collection of inherent attributes. Given a specific context (mashup goal), however, different attributes...
In the paradigm of service oriented science, scientific computing applications and data are all wrapped as web accessible services. Scientific workflows further integrate these services to answer complex research questions. However, our earlier study conducted on myExperiment has revealed that although the sharing of service-based capabilities opens a gateway to resource reuse, in practice, the degree...
NASA Earth Exchange (NEX) aims to provide a platform to enable and facilitate scientific collaboration and knowledge sharing in the Earth sciences, as current satellite measurements rapidly magnify the accumulation of more than 40 years of NASA datasets. One of the main objectives of NEX is to help Earth scientists leverage and reuse various data processing software modules developed by their peers,...
Services computing technology enables scientists to expose data and computational resources wrapped as publicly accessible Web services. However, our study indicates that scientific services are currently poorly reused in an ad hoc style. This project aims to help domain scientists find interested services and reuse successful processes to attain their research purposes in the form of workflows. In...
Online workflow repositories let scientists share successful experimental routines and compose new workflows from best practices and existing service components. The authors share the results of a social network analysis of the myExperiment workflow repository to assess the state of scientific workflow reuse and propose the CASE framework to facilitate such reuse.
This paper reports several key challenges and solutions when we apply Web 2.0 mashup technology to build a university-oriented services portal. A two-layer mashup service model is proposed as the underlying basis to support multiple granularities of services mashup. We explore a caching technique to facilitate personalizable services requests. We also report our preliminary practice of exploiting...
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