The abundant volume of natural language text in the connected world, though having a
large content of knowledge, but it is becoming increasingly difficult to disseminate it by a …

Abstract Web Data Extraction is an important problem that has been studied by means of
different scientific tools and in a broad range of applications. Many approaches to extracting …

The automatic extraction of information from unstructured sources has opened up new
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …

With the growing use of computers and the Internet, it has become difficult for organizations
to locate and effectively manage sensitive personally identifiable information (PII). This …

Enterprise Resource Planning (ERP) systems are widely used to manage business
documents along a business processes and allow very detailed recording of event data of …

Rule-based information extraction is an important approach for processing the increasingly
available amount of unstructured data. The manual creation of rule-based applications is a …

Extracting information from web documents has become a research area in which new
proposals sprout out year after year. This has motivated several researchers to work on …

Web information extraction (WIE) is a fundamental problem in web document understanding,
with a significant impact on various applications. Visual information plays a crucial role in …

In this paper we present the design, implementation and evaluation of SOBA, a system for
ontology-based information extraction from heterogeneous data resources, including plain …

Regular expressions are the dominant technique to extract business relevant entities (eg,
invoice numbers or product names) from text data (eg, invoices), since these entity types …