Generating value from data requires the ability to find, access and make sense of datasets.
There are many efforts underway to encourage data sharing and reuse, from scientific …

Thanks to information explosion, data for the objects of interest can be collected from
increasingly more sources. However, for the same object, there usually exist conflicts among …

The Big Data era is upon us: data is being generated, collected and analyzed at an
unprecedented scale, and data-driven decision making is sweeping through all aspects of …

In many real world applications, the same item may be described by multiple sources. As a
consequence, conflicts among these sources are inevitable, which leads to an important …

With the popular usage of mobile devices and smartphones, crowd sensing becomes
pervasive in real life when human acts as sensors to report their observations about entities …

In the era of data information explosion, there are different observations on an object (eg, the
height of the Himalayas) from different sources on the web, social sensing, crowd sensing …

In many applications, one can obtain descriptions about the same objects or events from a
variety of sources. As a result, this will inevitably lead to data or information conflicts. One …

In this paper, we discuss the application of concept of data quality to big data by highlighting
how much complex is to define it in a general way. Already data quality is a …

We focus on data fusion, ie, the problem of unifying conflicting data from data sources into a
single representation by estimating the source accuracies. We propose SLiMFast, a …

Recent advances in crowdsourcing technologies enable computationally challenging tasks
(eg, sentiment analysis and entity resolution) to be performed by Internet workers, driven …