The increasing availability of semantic data has substantially enhanced Web applications.
Semantic data such as RDF data is commonly represented as entity-property-value triples …

Depression is a major public health concern in the US and globally. While successful early
identification and treatment can lead to many positive health and behavioral outcomes …

Abstract Conversational Information Seeking (CIS) is a relatively new research area within
conversational AI that attempts to seek information from end-users in order to understand …

As part of a long-term research effort to provide students with better computer-aided
education, we create CKGG, a Chinese knowledge graph for the geography domain at the …

The large volume of open data on the Web is expected to be reused and create value.
Finding the right data to reuse is a non-trivial task addressed by the recent dataset search …

Ad hoc dataset retrieval is a trending topic in IR research. Methods and systems are evolving
from metadata-based to content-based ones which exploit the data itself for improving …

Semantic Web applications have benefited from entity summarization techniques which
compute a compact summary for an entity by selecting a set of key triples from underlying …

A prominent application of knowledge graph (KG) is document enrichment. Existing methods
identify mentions of entities in a background KG and enrich documents with entity types and …

In a large-scale knowledge graph (KG), an entity is often described by a large number of
triple-structured facts. Many applications require abridged versions of entity descriptions …

The increase in the size and complexity of large knowledge graphs now available online
has resulted in the emergence of many approaches focusing on enabling the quick …