118 citations · 322 across the 24 of their papers we have counts for
7 papers · 1 filter
Advanced Semantics for Commonsense Knowledge Extraction
Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum
Commonsense knowledge (CSK) about concepts and their properties is useful for AI applications such as robust chatbots. Prior works like ConceptNet, TupleKB and others compiled larg…
Examining the Impact of Algorithm Awareness on Wikidata's Recommender System Recoin
Jesse Josua Benjamin, Claudia Müller-Birn, Simon Razniewski
The global infrastructure of the Web, designed as an open and transparent system, has a significant impact on our society. However, algorithmic systems of corporate entities that n…
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
Gerhard Weikum, Luna Dong, Simon Razniewski +1
Equipping machines with comprehensive knowledge of the world's entities and their relationships has been a long-standing goal of AI. Over the last decade, large-scale knowledge bas…
CounQER: A System for Discovering and Linking Count Information in Knowledge Bases
Shrestha Ghosh, Simon Razniewski, Gerhard Weikum
Predicate constraints of general-purpose knowledge bases (KBs) like Wikidata, DBpedia and Freebase are often limited to subproperty, domain and range constraints. In this demo we s…
Uncovering Hidden Semantics of Set Information in Knowledge Bases
Shrestha Ghosh, Simon Razniewski, Gerhard Weikum
Knowledge Bases (KBs) contain a wealth of structured information about entities and predicates. This paper focuses on set-valued predicates, i.e., the relationship between an entit…
Negative Statements Considered Useful
Hiba Arnaout, Simon Razniewski, Gerhard Weikum +1
Knowledge bases (KBs) about notable entities and their properties are an important asset in applications such as search, question answering and dialogue. All popular KBs capture vi…