Tabular data often refers to data that is organized in a table with rows and columns. We
observe that this data format is widely used on the Web and within enterprise data …

Tables are probably the most natural way to represent relational data in various media and
formats. They store a large number of valuable facts that could be utilized for question …

Millions of HTML tables containing structured data can be found on the Web. With their wide
coverage, these tables are potentially very useful for filling missing values and extending …

Automatically annotating column types with knowledge base (KB) concepts is a critical task
to gain a basic understanding of web tables. Current methods rely on either table metadata …

Web tables constitute valuable sources of information for various applications, ranging from
Web search to Knowledge Base (KB) augmentation. An underlying common requirement is …

This article introduces TableMiner+, a Semantic Table Interpretation method that annotates
Web tables in a both effective and efficient way. Built on our previous work TableMiner, the …

Relational HTML tables on the Web contain data describing a multitude of entities and
covering a wide range of topics. Thus, web tables are very useful for filling missing values in …

With the success of Open Data a huge amount of tabular data sources became available
that could potentially be mapped and linked into the Web of (Linked) Data. Most existing …

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 …

The ubiquitous and layout-friendly PDF documents have multiple elements for disseminating
knowledge and require visual cues for interpretation. Users with visual impairments depend …