Multi-Cultural Interlinking of Web Taxonomies with ACROSS

Multi-faceted Learning for Web Taxonomies

A standard problem for internet commerce is the task of building a product taxonomy from web pages, without access to corporate databases. However, a nasty aspect of the real world is that most web-pages have multiple facets. A web page might contain information about both cameras and computers, as well as having both specification and sale data. We are interested in methods for supervised and ...

Multi-fa eted Learning for Web Taxonomies

Aligning Multi-Cultural Knowledge Taxonomies by Combinatorial Optimization

Large collections of digital knowledge have become valuable assets for search and recommendation applications. The taxonomic type systems of such knowledge bases are often highly heterogeneous, as they reflect different cultures, languages, and intentions of usage. We present a novel method to the problem of multi-cultural knowledge alignment, which maps each node of a source taxonomy onto a ra...

Interlinking Media Archives with the Web of Data

Today’s enterprises heavily rely upon accurate, consistent, and timely access to data. However, company data is typically scattered across multiple databases and file shares in a multitude of forms and versions. Moreover, an increasing amount of valuable background information is available outside the companies' influence and control. This situation is typical for many enterprise information in...

Repeatable Web Data Extraction and Interlinking

We would like to make all the web content usable in the same way as it is in 5 star Linked (Open) Data. We face several challenges. Either there are no LODs in the domain of interest or the data project is no longer maintained or even something is broken (links, SPARQL endpoint etc.). We propose a dynamic logic extension of the semantic model. Data could bear also information about their creati...