7 citations · 7 across the 2 of their papers we have counts for
5 papers
Information Extraction From Co-Occurring Similar Entities
Nicolas Heist, Heiko Paulheim
Knowledge about entities and their interrelations is a crucial factor of success for tasks like question answering or text summarization. Publicly available knowledge graphs like W…
A Knowledge Graph for Assessing Aggressive Tax Planning Strategies
Niklas Lüdemann, Ageda Shiba, Nikolaos Thymianis +3
The taxation of multi-national companies is a complex field, since it is influenced by the legislation of several states. Laws in different states may have unforeseen interaction e…
Knowledge Graphs on the Web -- an Overview
Nicolas Heist, Sven Hertling, Daniel Ringler +1
Knowledge Graphs are an emerging form of knowledge representation. While Google coined the term Knowledge Graph first and promoted it as a means to improve their search results, th…
Entity Extraction from Wikipedia List Pages
Nicolas Heist, Heiko Paulheim
When it comes to factual knowledge about a wide range of domains, Wikipedia is often the prime source of information on the web. DBpedia and YAGO, as large cross-domain knowledge g…
Uncovering the Semantics of Wikipedia Categories
Nicolas Heist, Heiko Paulheim
The Wikipedia category graph serves as the taxonomic backbone for large-scale knowledge graphs like YAGO or Probase, and has been used extensively for tasks like entity disambiguat…