The first phase of table recognition is to detect the tabular area in a document.
Subsequently, the tabular structures are recognized in the second phase in order to extract …

Tables are everywhere, from scientific journals, articles, websites, and newspapers all the
way to items we buy at the supermarket. Detecting them is thus of utmost importance to …

The paper discusses issues of rule-based data transformation from arbitrary spreadsheet
tables to a canonical (relational) form. We present a novel table object model and rule …

Table understanding methods extract, transform, and interpret the information contained in
tabular data embedded in documents/files of different formats. Such automatic …

Tables and forms are a very common way to organize information in structureddocuments.
Their recognition is fundamental for the recognition of the documents. Indeed, the physical …

The paper discusses issues on the conversion of tabular data from unstructured to structured
form. Particularly, we propose an approach to table understanding (ie recovering semantic …

The research and development of metallic materials are playing an important role in today's
society, and in the meanwhile lots of metallic materials knowledge is generated and …

Much of the world's quantitative data reside in scattered web tables. For a meaningful role in
Big Data analytics, the facts reported in these tables must be brought into a uniform …

Generally, there are various elements of uncertainty in a supply chain. In particular,
uncertainties in lead time, demand, and yield are very important in the semiconductor …

Arbitrary tables presented in spreadsheets can be an important data source in business
intelligence. However, many of them have complex layouts that hinder the process of …