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Found 6 papers, 3 papers with code
VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph
With the integration of 30 datasets and four popular CV tasks, we demonstrate its usefulness across various scenarios when working with CV pipelines.
CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion
We present CQELS 2. 0, the second version of Continuous Query Evaluation over Linked Streams.
Faithiful Embeddings for EL++ Knowledge Bases
Namely, the learned model of BoxEL embedding with loss 0 is a (logical) model of the KB.
Fantastic Data and How to Query Them
It is commonly acknowledged that the availability of the huge amount of (training) data is one of the most important factors for many recent advances in Artificial Intelligence (AI).
Neuro-Symbolic Ontology-Mediated Query Answering
Recently, low-dimensional vector space representations of Knowledge Graphs (KGs) have been applied to find answers to logical queries over incomplete KGs.
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs
Current methods for embedding-based query answering over incomplete Knowledge Graphs (KGs) only focus on inductive reasoning, i. e., predicting answers by learning patterns from the data, and lack the complementary ability to do deductive reasoning, which requires the application of domain knowledge to infer further information.
