Machine knowledge: Creation and curation of comprehensive knowledge bases
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 …
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
A new direction in social network analysis: Online social network analysis problems and applications
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …
of the Internet has become widespread worldwide as the technological infrastructure and the …
A survey on knowledge graph embedding: Approaches, applications and benchmarks
Y Dai, S Wang, NN **ong, W Guo - Electronics, 2020 - mdpi.com
A knowledge graph (KG), also known as a knowledge base, is a particular kind of network
structure in which the node indicates entity and the edge represent relation. However, with …
structure in which the node indicates entity and the edge represent relation. However, with …
Entity linking with a knowledge base: Issues, techniques, and solutions
The large number of potential applications from bridging web data with knowledge bases
have led to an increase in the entity linking research. Entity linking is the task to link entity …
have led to an increase in the entity linking research. Entity linking is the task to link entity …
Learning to represent knowledge graphs with gaussian embedding
The representation of a knowledge graph (KG) in a latent space recently has attracted more
and more attention. To this end, some proposed models (eg, TransE) embed entities and …
and more attention. To this end, some proposed models (eg, TransE) embed entities and …
[HTML][HTML] A comprehensive survey of entity alignment for knowledge graphs
Abstract Knowledge Graphs (KGs), as a structured human knowledge, manage data in an
ease-of-store, recognizable, and understandable way for machines and provide a rich …
ease-of-store, recognizable, and understandable way for machines and provide a rich …
A survey of location prediction on twitter
Locations, eg, countries, states, cities, and point-of-interests, are central to news, emergency
events, and people's daily lives. Automatic identification of locations associated with or …
events, and people's daily lives. Automatic identification of locations associated with or …
Cosnet: Connecting heterogeneous social networks with local and global consistency
More often than not, people are active in more than one social network. Identifying users
from multiple heterogeneous social networks and integrating the different networks is a …
from multiple heterogeneous social networks and integrating the different networks is a …
[HTML][HTML] Exploiting semantic similarity for named entity disambiguation in knowledge graphs
G Zhu, CA Iglesias - Expert Systems with Applications, 2018 - Elsevier
With the increasing popularity of large scale Knowledge Graph (KG) s, many applications
such as semantic analysis, search and question answering need to link entity mentions in …
such as semantic analysis, search and question answering need to link entity mentions in …
Toward consumer perception of cellphones sustainability: A social media analytics
SA Radi, S Shokouhyar - Sustainable Production and Consumption, 2021 - Elsevier
Today, sustainability is among the key considerations for company strategy and marketing
efforts, especially large and established technology companies with short product life-spans …
efforts, especially large and established technology companies with short product life-spans …