[HTML][HTML] Knowledge graph quality control: A survey
A knowledge graph (KG), a special form of semantic network, integrates fragmentary data
into a graph to support knowledge processing and reasoning. KG quality control is important …
into a graph to support knowledge processing and reasoning. KG quality control is important …
Concept graph construction and applied research of agricultural remote sensing
Remote sensing technology in the new era gradually need a new scientific paradigm driven
by big data and knowledge. However, in the current research, the use of existing knowledge …
by big data and knowledge. However, in the current research, the use of existing knowledge …
Knowledge transfer for out-of-knowledge-base entities: Improving graph-neural-network-based embedding using convolutional layers
Z Bi, T Zhang, P Zhou, Y Li - IEEE Access, 2020 - ieeexplore.ieee.org
Knowledge base completion (KBC) aims to predict missing information in a knowledge
base. Most existing embedding-based KBC models assume that all test entities are …
base. Most existing embedding-based KBC models assume that all test entities are …
Inference of isA commonsense knowledge with lexical taxonomy
Commonsense knowledge is a crucial resource to help the machine understand the human
world. However, the conventional methods of extracting commonsense knowledge with isA …
world. However, the conventional methods of extracting commonsense knowledge with isA …
Improving hypernymy prediction via taxonomy enhanced adversarial learning
C Wang, X He, A Zhou - Proceedings of the AAAI Conference on Artificial …, 2019 - aaai.org
Hypernymy is a basic semantic relation in computational linguistics that expresses the “is-a”
relation between a generic concept and its specific instances, serving as the backbone in …
relation between a generic concept and its specific instances, serving as the backbone in …
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions
Entity-and event-level conceptualization, as fundamental elements of human cognition,
plays a pivotal role in generalizable reasoning. This process involves abstracting specific …
plays a pivotal role in generalizable reasoning. This process involves abstracting specific …
Double bounded rough set, tension measure, and social link prediction
This paper describes a new approach of viewing a social relation as a string with various
forces acting on it. Accordingly, a tension measure for a relation is defined. Various …
forces acting on it. Accordingly, a tension measure for a relation is defined. Various …
Top-k approximate selection for typicality query results over spatio-textual data
X Meng, X Zhang, H Huo, Q Leng - Knowledge and Information Systems, 2024 - Springer
Spatial keyword query is a classical query processing mode for spatio-textual data, which
aims to provide users the spatio-textual objects with the highest spatial proximity and textual …
aims to provide users the spatio-textual objects with the highest spatial proximity and textual …
Attribute Enhancement using Aligned Entities between Knowledge Graphs
RF Munne, R Ichise - 2023 IEEE 17th International Conference …, 2023 - ieeexplore.ieee.org
A knowledge graph (KG) is a structural form of semantic network that integrates triplets into a
graph to support knowledge processing and reasoning. Popular KGs like DBpedia, YAGO …
graph to support knowledge processing and reasoning. Popular KGs like DBpedia, YAGO …
Large-scale multi-granular concept extraction based on machine reading comprehension
The concepts in knowledge graphs (KGs) enable machines to understand natural language,
and thus play an indispensable role in many applications. However, existing KGs have the …
and thus play an indispensable role in many applications. However, existing KGs have the …