Abstract Knowledge graphs have gained increasing popularity in the past couple of years,
thanks to their adoption in everyday search engines. Typically, they consist of fairly static …

With the ever-advancing availability of digitized museum artifacts, the question of how to
make the vast collection of exhibits accessible and explorable beyond what museums …

The COVID-19 pandemic is a global crisis that has been testing every society and exposing
the critical role of local politics in crisis response. In the United States, there has been a …

In this work, we report large-scale semantic role annotation of arguments in the Turkish
dependency treebank, and present the first comprehensive Turkish semantic role labeling …

This paper presents KD SENSO-MERGER, a novel Knowledge Discovery (KD) architecture
that is capable of semantically integrating heterogeneous data from various sources of …

I hope for this book to serve as a good starting point for students and researchers in
Semantic Web (SW) interested in discovering what Natural Language Processing (NLP) has …

VerbNet is an English lexical resource for verbs that has proven useful for English NLP due
to its high coverage and coherent classification. Such a resource doesn't exist for other …

The DBpedia project extracts structured information from Wikipedia and makes it available
on the web. Information is gathered mainly with the help of infoboxes that contain structured …

In this paper we have described a neural network based approach for Event extraction (EE)
task which aims to discover different types of events along with the event arguments form the …

Wikipedia is a rich data source for knowledge from all domains. As part of this knowledge,
historical and daily events (news) are collected for different languages on special pages and …