Machine knowledge: Creation and curation of comprehensive knowledge bases
Equipping 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 …
Knowledge graph quality management: a comprehensive survey
B Xue, L Zou - IEEE Transactions on Knowledge and Data …, 2022 - ieeexplore.ieee.org
As a powerful expression of human knowledge in a structural form, knowledge graph (KG)
has drawn great attention from both the academia and the industry and a large number of …
has drawn great attention from both the academia and the industry and a large number of …
Personal knowledge graphs: A research agenda
Knowledge graphs, organizing structured information about entities, and their attributes and
relationships, are ubiquitous today. Entities, in this context, are usually taken to be anyone or …
relationships, are ubiquitous today. Entities, in this context, are usually taken to be anyone or …
Knowledge graph completeness: A systematic literature review
S Issa, O Adekunle, F Hamdi, SSS Cherfi… - IEEE …, 2021 - ieeexplore.ieee.org
The quality of a Knowledge Graph (also known as Linked Data) is an important aspect to
indicate its fitness for use in an application. Several quality dimensions are identified, such …
indicate its fitness for use in an application. Several quality dimensions are identified, such …
Degree-aware alignment for entities in tail
Entity alignment (EA) is to discover equivalent entities in knowledge graphs (KGs), which
bridges heterogeneous sources of information and facilitates the integration of knowledge …
bridges heterogeneous sources of information and facilitates the integration of knowledge …
What we talk about when we talk about Wikidata quality: a literature survey
Launched in 2012, Wikidata has already become a success story. It is a collaborative
knowledge graph, whose large community has produced so far data about more than 55 …
knowledge graph, whose large community has produced so far data about more than 55 …
Uncommonsense: Informative negative knowledge about everyday concepts
Commonsense knowledge about everyday concepts is an important asset for AI
applications, such as question answering and chatbots. Recently, we have seen an …
applications, such as question answering and chatbots. Recently, we have seen an …
Completeness-aware rule learning from knowledge graphs
T Pellissier Tanon, D Stepanova, S Razniewski… - The Semantic Web …, 2017 - Springer
Abstract Knowledge graphs (KGs) are huge collections of primarily encyclopedic facts. They
are widely used in entity recognition, structured search, question answering, and other …
are widely used in entity recognition, structured search, question answering, and other …
Position-aware relational transformer for knowledge graph embedding
Although Transformer has achieved success in language and vision tasks, its capacity for
knowledge graph (KG) embedding has not been fully exploited. Using the self-attention (SA) …
knowledge graph (KG) embedding has not been fully exploited. Using the self-attention (SA) …
Recoin: relative completeness in Wikidata
The collaborative knowledge base Wikidata is the central storage of Wikimedia projects,
containing over 45 million data items. It acts as the hub for interlinking Wikipedia pages …
containing over 45 million data items. It acts as the hub for interlinking Wikipedia pages …