36 citations · 43 across the 7 of their papers we have counts for
9 papers
KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks
Nicolas Heist, Sven Hertling, Heiko Paulheim
In recent years, countless research papers have addressed the topics of knowledge graph creation, extension, or completion in order to create knowledge graphs that are larger, more…
NASTyLinker: NIL-Aware Scalable Transformer-based Entity Linker
Nicolas Heist, Heiko Paulheim
Entity Linking (EL) is the task of detecting mentions of entities in text and disambiguating them to a reference knowledge base. Most prevalent EL approaches assume that the refere…
Transformer-based Subject Entity Detection in Wikipedia Listings
Nicolas Heist, Heiko Paulheim
In tasks like question answering or text summarisation, it is essential to have background knowledge about the relevant entities. The information about entities - in particular, ab…
The CaLiGraph Ontology as a Challenge for OWL Reasoners
Nicolas Heist, Heiko Paulheim
CaLiGraph is a large-scale cross-domain knowledge graph generated from Wikipedia by exploiting the category system, list pages, and other list structures in Wikipedia, containing m…
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…