Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …

Entity linking (EL) is the process of linking entity mentions appearing in web text with their
corresponding entities in a knowledge base. EL plays an important role in the fields of …

Recent years have witnessed the resurgence of knowledge engineering which is featured
by the fast growth of knowledge graphs. However, most of existing knowledge graphs are …

This survey presents a comprehensive description of recent neural entity linking (EL)
systems developed since 2015 as a result of the “deep learning revolution” in natural …

Previous entity linking methods in knowledge graphs (KGs) mostly link the textual mentions
to corresponding entities. However, they have deficiencies in processing numerous …

In this paper, we introduce a new Multimodal Entity Linking (MEL) task on the multimodal
data. The MEL task discovers entities in multiple modalities and various forms within large …

As an essential part of artificial intelligence, a knowledge graph describes the real-world
entities, concepts and their various semantic relationships in a structured way and has been …

Political misinformation, astroturfing and organised trolling are online malicious behaviours
with significant real-world effects that rely on making the voices of the few sounds like the …

Entity linking, bridging mentions in the contexts with their corresponding entities in the
knowledge bases, has attracted wide attention due to many potential applications. Recently …

Visual Entity Linking (VEL) is a task to link regions of images with their corresponding
entities in Knowledge Bases (KBs), which is beneficial for many computer vision tasks such …