Ontologies have long been employed in the life sciences to formally represent and reason
over domain knowledge and they are employed in almost every major biological database …

A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …

Big biomedical data has grown exponentially during the last decades and a similar growth
rate is expected in the next years. Likewise, semantic web technologies have also advanced …

The ability to compare entities within a knowledge graph is a cornerstone technique for
several applications, ranging from the integration of heterogeneous data to machine …

Linked Data is a method of publishing structured data to facilitate sharing, linking, searching
and re-use. Many such datasets have already been published, but although their number …

Abstract Knowledge graphs (KGs) play a critical role in organizing large stores of
unstructured information into structured formats. This structured information is then …

This research paper explores the use of ChatGPT in database management. ChatGPT, an AI-
powered chatbot, has limitations in performing tasks related to database management due …

Temporal knowledge base exists on various fields. Take medical medicine field as example,
diabetes is a typical chronic disease which evolves slowly. This paper starts from actual …

Semantic search, a process aimed at delivering highly relevant search results by
comprehending the searcher's intent and the contextual meaning of terms within a …

Increasing volumes of data consumed and managed by enterprises demand effective and
efficient data integration approaches. Additionally, the amount and variety of data sources …