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 …

In recent years, Knowledge Graphs (KGs) have played a crucial role in the development of
advanced knowledge-intensive applications, such as recommender systems and semantic …

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 …

The multi-modal entity alignment (MMEA) aims to find all equivalent entity pairs between
multi-modal knowledge graphs (MMKGs). Rich attributes and neighboring entities are …

The task of keyword-based diverse image retrieval has received considerable attention due
to its wide demand in real-world scenarios. Existing methods either rely on a multi-stage re …

Business Knowledge Graphs (KGs) are important to many enterprises today, providing
factual knowledge and structured data that steer many products and make them more …

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 …

Purpose This paper covers the development of a novel defect model for concrete highway
bridges. The proposed defect model is intended to facilitate the identification of bridge's …

Multi-Modal Entity Alignment (MMEA) is a critical task that aims to identify equivalent entity
pairs across multi-modal knowledge graphs (MMKGs). However, this task faces challenges …

Abstract Multi-Modal Entity Alignment (MMEA), aiming to discover matching entity pairs on
two multi-modal knowledge graphs (MMKGs), is an essential task in knowledge graph …