A Practical Approach to Forgetting in Description Logics with Nominals


  • Yizheng Zhao Nanjing University
  • Renate Schmidt The University of Manchester
  • Yuejie Wang Peking University
  • Xuanming Zhang University of Nottingham Ningbo
  • Hao Feng North China University of Science and Technology




This paper investigates the problem of forgetting in description logics with nominals. In particular, we develop a practical method for forgetting concept and role names from ontologies specified in the description logic ALCO, extending the basic ALC with nominals. The method always terminates, and is sound in the sense that the forgetting solution computed by the method has the same logical consequences with the original ontology. The method is so far the only approach to deductive forgetting in description logics with nominals. An evaluation of a prototype implementation shows that the method achieves a significant speed-up and notably better success rates than the Lethe tool which performs deductive forgetting for ALC-ontologies. Compared to Fame, a semantic forgetting tool for ALCOIH-ontologies, better success rates are attained. From the perspective of ontology engineering this is very useful, as it provides ontology curators with a powerful tool to produce views of ontologies.




How to Cite

Zhao, Y., Schmidt, R., Wang, Y., Zhang, X., & Feng, H. (2020). A Practical Approach to Forgetting in Description Logics with Nominals. Proceedings of the AAAI Conference on Artificial Intelligence, 34(03), 3073-3079. https://doi.org/10.1609/aaai.v34i03.5702



AAAI Technical Track: Knowledge Representation and Reasoning