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Schema matching is a central challenge for data integration systems. Automated tools are often uncertain about schema matchings they suggest, and this uncertainty is inherent since it arises from the inability of the schema to fully capture the semantics of the represented data. Human common sense can often help. Inspired by the popularity and the success(More)
As one of the successful forms of using Wisdom of Crowd, crowdsourcing, has been widely used for many human intrinsic tasks, such as image labeling, natural language understanding , market predication and opinion mining. Meanwhile , with advances in pervasive technology, mobile devices, such as mobile phones and tablets, have become extremely popular. These(More)
MicroRNAs (miRs) are a class of small regulatory RNAs that have been implicated in diverse biological pathways, including cancer. miR-17/20a encoded by the c13orf25 locus is among the first miRs discovered to have oncogenic functions. The E2F family members have been established as the targets for these oncomiRs, which form a negative feedback loop to(More)
Multi-version data is often one of the most concerned information on the Web since this type of data is usually updated frequently. Even though there exist some Web information integration systems that try to maintain the latest update version, the maintained multi-version data usually includes inaccurate and invalid information due to the data integration(More)
Hollow spherical gold nanoparticle superstructures with tunable diameters (∼40 nm, ∼70 nm and ∼150 nm) and visible to near-infrared surface plasmon resonances (545 nm, 670 nm, and 740 nm) are prepared using a single peptide conjugate, C6-AA-PEPAu, as the structure-directing agent. Computational models are developed to understand their optical properties.
Uncertain data has been emerged as an important problem in database systems due to the imprecise nature of many applications. To handle the uncertainty, probabilistic databases can be used to store uncertain data, and querying facilities are provided to yield answers with confidence. However, the uncertainty may propagate, hence the returned results from a(More)
The recent surge in popularity of crowdsourcing has brought with it a new opportunity for engaging human intelligence in the process of data analysis. Crowdsourcing provides a fundamental mechanism for enabling online workers to participate in tasks that are either too difficult to be solved solely by a computer or too expensive to employ experts to(More)
Schema matching is a central challenge for data integration systems. Due to the inherent uncertainty arose from the inability of schema in fully capturing the semantics of the represented data, automatic tools are often uncertain about suggested matching results. However, human is good at understanding data represented in various forms and crowdsourcing(More)
The popularity of crowdsourcing has recently brought about brand new opportunities for engaging human intelligence in the process of data analysis. Most existing works on crowdsourcing have developed sophisticated methods to utilize the crowd as a new kind of processor, a.k.a. Human Processor Units (HPU). In this paper, we propose a framework, called MaC,(More)