4 citations · 4 across the 4 of their papers we have counts for
4 papers
Enriching Knowledge Bases with Counting Quantifiers
Paramita Mirza, Simon Razniewski, Fariz Darari +1
Information extraction traditionally focuses on extracting relations between identifiable entities, such as <Monterey, locatedIn, California>. Yet, texts often also contain Countin…
Cardinal Virtues: Extracting Relation Cardinalities from Text
Paramita Mirza, Simon Razniewski, Fariz Darari +1
Information extraction (IE) from text has largely focused on relations between individual entities, such as who has won which award. However, some facts are never fully mentioned,…
Enabling Fine-grained RDF Data Completeness Assessment
Fariz Darari, Simon Razniewski, Radityo Eko Prasojo +1
Nowadays, more and more RDF data is becoming available on the Semantic Web. While the Semantic Web is generally incomplete by nature, on certain topics, it already contains complet…
Bridging the Semantic Gap between RDF and SPARQL using Completeness Statements [Extended Version]
Fariz Darari, Simon Razniewski, Werner Nutt
RDF data is often treated as incomplete, following the Open-World Assumption. On the other hand, SPARQL, the standard query language over RDF, usually follows the Closed-World Assu…