Abstract
The proceedings contain 46 papers. The special focus in this conference is on Joint International Semantic Technology Conference. The topics include: Discovering hypernymy relationships in Chinese traffic legal texts; multi-task learning for attribute extraction from unstructured electronic medical records; uncertain ontology-aware knowledge graph embeddings; Investigating schema definitions using RDFS and OWL 2 for RDF databases in life sciences; RQE: Rule-driven query expansion to solve empty answers in SPARQL; aspect-level sentiment analysis of online product reviews based on multi-features; a seq2seq-based approach to question answering over knowledge bases; building knowledge graph across different subdomains using interlinking ontology for biomedical concepts; WPQA: A gaming support system based on machine learning and knowledge graph; a temporal semantic search system for traditional Chinese medicine based on temporal knowledge graphs; combining concept graph with improved neural networks for Chinese short text classification; construction of Chinese pediatric medical knowledge graph; EasyKG: An end-to-end knowledge graph construction system; testing of various approaches for semiautomatic parish records word standardization; Concept similarity under the agent’s preferences for the description logic ALEH; data quality for deep learning of judgment documents: An empirical study; aligning sentences between comparable texts of different styles; an in-depth analysis of graph neural networks for semi-supervised learning; XTransE: Explainable knowledge graph embedding for link prediction with lifestyles in e-Commerce; feasibility study: Rule generation for ontology-based decision-making systems.