Melissa Lemos

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This paper introduces an approach to address the problem of accessing conventional and geographic data from the Deep Web. The approach relies on describing the relevant data through well-structured sentences, and on publishing the sentences as Web pages, following the W3C and the Google recommendations. For conventional data, the sentences are generated(More)
Researchers typically need to combine Bioinformatics processes to perform larger, more complex tasks, expressed as workflows. However, there is a strong indication from users that running complex workflows is an addition burden that must be alleviated. Motivated by this observation, this paper first introduces an ontology that defines classes and instances(More)
Two processes, p and q, may be scheduled in pipeline when q may start when p starts, and q may process data items from p, one-by-one, without waiting for p to write the complete set of data items. This paper explores how process pipeline scheduling may become a viable strategy for executing workflows. The paper first details a workflow model that captures(More)
Gluconacetobacter diazotrophicus Pal5 is an endophytic diazotrophic bacterium that lives in association with sugarcane plants. It has important biotechnological features such as nitrogen fixation, plant growth promotion, sugar metabolism pathways, secretion of organic acids, synthesis of auxin and the occurrence of bacteriocins. Gluconacetobacter(More)
Historically, visual display has always played a very important role in GIS applications. However, visual exploration tools do not scale well when applied to huge spatial data sets. More recently, faster processing hardware and more sophisticated computer graphics has been used to improve user experience for geospatial data visualization. Some applications(More)