Xu Xiangbin
Papers
1
Total Citations
5
H-Index
1
About
Xu Xiangbin is a researcher whose work bridges artificial intelligence, knowledge representation, and industrial systems engineering. His key research areas include ontology-driven computing, finite-state machine design, and intelligent monitoring for industrial equipment. His most notable contribution, the 2015 paper "Knowledge-driven finite-state machines. Study case in monitoring industrial equipment," proposes a paradigm-shifting approach that replaces traditional coded state machines with ontological models and SPARQL queries. This innovation enables more flexible, semantically rich, and maintainable systems for real-time industrial monitoring. Though his work has accumulated 5 citations, its conceptual novelty—using knowledge graphs to drive computational state transitions—positions it as a foundational piece for researchers exploring the intersection of semantic web technologies and cyber-physical systems. Xu’s approach offers a blueprint for how ontologies can not only describe but actively compute system behaviors, opening new pathways for adaptive, knowledge-aware automation in manufacturing and beyond.
Research Focus
Key Achievements
Top Papers
- 1