Abstract
Keyword search is indispensable for locating relevant documents the web. Yet, at the same time, we have also grown aware of its limitations. It is often difficult to reach esoteric information obscured deep within various domains. For example, consider an earth science student who needs to identify how much a certain area in a nearby park has eroded since 1940 for a school project. Certainly, if this exact erosion information had previously been published onto a web page, a search engine could probably locate it effortlessly. But due to the exactness of this query, the likelihood that such a web page exists is slim. However, avenues for obtaining this information exist in the form of scientific workflows, which can be implemented using web service composition.
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Chiu, D., Hall, T., Kabir, F., Agrawal, G. (2011). Keyword Search Support for Automating Scientific Workflow Composition. In: Bayard Cushing, J., French, J., Bowers, S. (eds) Scientific and Statistical Database Management. SSDBM 2011. Lecture Notes in Computer Science, vol 6809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22351-8_41
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DOI: https://doi.org/10.1007/978-3-642-22351-8_41
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