Data collection and labeling are critical bottlenecks in the deployment of machine learning
applications. With the increasing complexity and diversity of applications, the need for …

Financial health of companies in certain region is the foundation on which the prosperity of
region is based. If companies in region are healthy and successful, there are good reasons …

A new transparency model with more and better corporate data is necessary to promote
sustainable economic growth. In particular, there is a need to link factors regarding non …

Advances in information technology have presented the potential to automate investment
decision making processes. This will alleviate the need for manual analysis and reduce the …

When building reliable data-driven applications for local governments to interact with public
servants or citizens, data publishers and consumers have to be sure that the applied data …

If numeric data from the Web are brought together, natural scientists can compare climate
measurements with estimations, financial analysts can evaluate companies based on …

Linked Data can provide the data according to user's demand, promote the availability of
half structured and unstructured data on the network, improve the interoperability of open …

Traditionally, equity investors have relied upon the information reported in firms' financial
accounts to make their investment decisions. Due to the conservative nature of accounting …

Statistical data about cities, regions and at country level is collected for various purposes
and from various institutions. Yet, while access to high quality and recent such data is crucial …

There are two main methods in economic forecasting-fundamental analysis, which is based
on the investigation of influencing economic factors, and technical analysis, which is based …