In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

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 …

Abstract Information extraction is the task of finding structured information from unstructured
or semi-structured text. It is an important task in text mining and has been extensively studied …

Programming by Demonstration (PBD) promises to enable data scientists to collect web
data. However, in formative interviews with social scientists, we learned that current PBD …

Web search is an essential way for humans to obtain information, but it's still a great
challenge for machines to understand the contents of web pages. In this paper, we introduce …

Abstract Knowledge Graphs is one of the most popular techniques for knowledge-based
modelling in various subdomains of modern AI technologies ranging from natural language …

Many websites have large collections of pages generated dynamically from an underlying
structured source like a database. The data of a category are typically encoded into similar …

Online market intelligence (OMI), in particular competitive intelligence for product pricing, is
a very important application area for Web data extraction. However, OMI presents non-trivial …

The text in many web documents is organized into a hierarchy of section titles and
corresponding prose content, a structure which provides potentially exploitable information …

There are several libraries for extracting useful data from web pages in Python. In this study,
we compare three different well-known extraction libraries including BeautifulSoup, lxml and …