Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Open Domain Question Answering (QA) is evolving from complex pipelined systems to end-
to-end deep neural networks. Specialized neural models have been developed for …

Recently, the term knowledge graph has been used frequently in research and business,
usually in close association with Semantic Web technologies, linked data, large-scale data …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

Ontologies have been known for their semantic representation of knowledge. ontologies
cannot automatically evolve to reflect updates that occur in respective domains. To address …

Today's openly available knowledge bases, such as DBpedia, Yago, Wikidata or Freebase,
capture billions of facts about the world's entities. However, even the largest among these (i) …

Lithofacies paleogeography is a data-intensive discipline that involves the interpretation and
compilation of sedimentary facies. Traditional sedimentary facies analysis is a labor …

Text-based knowledge extraction methods for populating knowledge bases have focused on
binary facts: relationships between two entities. However, in advanced domains such as …

Purpose With the rapid development of digital humanities, some digital humanities platforms
have been successfully developed to support digital humanities research for humanists …

The paper is devoted to the issue of clustering small sets of very short texts. Such texts are
often incomplete and highly inconclusive, so establishing a notion of proximity between …