The Web became the central medium for valuable sources of information fusion
applications. However, such user-generated resources are often plagued by inaccuracies …

The amount of useful information available on the Web has been growing at a dramatic pace
in recent years and people rely more and more on the Web to fulfill their information needs …

Despite the abundance of useful information on the Web, different Web sources often
provide conflicting data, some being out-of-date, inaccurate, or erroneous. Data fusion aims …

The task of {\em data fusion} is to identify the true values of data items (eg, the true date of
birth for {\em Tom Cruise}) among multiple observed values drawn from different sources …

Several techniques have been developed to extract and integrate data from web sources.
However, web data are inherently imprecise and uncertain. This paper addresses the issue …

In practical data integration systems, it is common for the data sources being integrated to
provide conflicting information about the same entity. Consequently, a major challenge for …

Data fusion, within the data integration pipeline, addresses the problem of discovering the
true values of a data item when multiple sources provide different values for it. An important …

Recent years have witnessed a proliferation of large-scale knowledge bases, including
Wikipedia, Freebase, YAGO, Microsoft's Satori, and Google's Knowledge Graph. To increase …

As part of the FEVEROUS shared task, we developed a robust and finely tuned architecture
to handle the joint retrieval and entailment on text data as well as structured data like tables …

Trust and reputation are significant components in open dynamic systems for making
informed and reliable decisions. State-of-the-art information fusion models that exploit these …