Equip** 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 …

Medical decision-making processes can be enhanced by comprehensive biomedical
knowledge bases, which require fusing knowledge graphs constructed from different …

Machine learning workflow development is a process of trial-and-error: developers iterate on
workflows by testing out small modifications until the desired accuracy is achieved …

Conditions play an essential role in scientific observations, hypotheses, and statements.
Unfortunately, existing scientific knowledge graphs (SciKGs) represent factual knowledge as …

The rapid growth in the number of scholarly documents on the Web and in other digital
platforms makes it challenging for researchers to find research publications most relevant to …

Literature search is critical for any scientific research. Different from Web or general domain
search, a large portion of queries in scientific literature search are entity-set queries, that is …

The fact-condition statement plays a significant role in the geological papers, where
geological theory or phenomenon as a fact is constrained by its precondition. This constraint …

Conditions play an essential role in biomedical statements. However, existing biomedical
knowledge graphs (BioKGs) only focus on factual knowledge, organized as a flat relational …

Researchers utilize information from the geoscience literature to deduce the regional or
global geological evolution. Traditionally this process has relied on the labor of researchers …

Traditional search engines for life sciences (eg, PubMed) are designed for document
retrieval and do not allow direct retrieval of specific statements. Some of these statements …