Search

Knowledge graph completion aims to predict the new links in given entities among the knowledge graph (KG). Most mainstream embedding methods focus on fact triplets contained in the given KG, however, ignoring the rich background information provided by logic rules driven from knowledge base implicitly. To solve this problem, in this paper, we propose a general framework, named EM-RBR(embedding and rule-based reasoning), capable of combining the advantages of reasoning based on rules and the state-of-the-art models of embedding. EM-RBR aims to utilize relational background knowledge contained in rules to conduct multi-relation reasoning link prediction rather than superficial vector triangle linkage in embedding models. By this way, we can explore relation between two entities in deeper context to achieve higher accuracy. In experiments, we demonstrate that EM-RBR achieves better performance compared with previous models on FB15k, WN18 and our new dataset FB15k-R, especially the new dataset where our model perform futher better than those state-of-the-arts. We make the implementation of EM-RBR available at https://github.com/1173710224/link-prediction-with-rule-based-reasoning.

Applications of tied arch bridges at the beginning are that they break through restrictions on that requirements on pier, abutmemt and foundation are high for traditional arch bridges, at the same time they are handsome in appearance and long in span ability, as a result, many reinforced concrete tied arch bridges were built in China in the 1990s. However, the increasing in traffic volume and frequentation in overweight vehicles, which make more and more serious diseases for such bridges so that reinforcement measures must be taken. Mei Jiang Bridge is a through tied arch bridge, which was evaluated as a dangerous bridge through test. In order to retain its unique historical and cultural values, it was decided to adopt reinforcement measures to rebuild its beautiful shape and restore its using function after the project review and research demonstration of related experts. According to the bridge diseases described in the detection report, this paper discusses how to adopt mature reinforcement measures such as rebar-planting, section enlargement method, prestress strengthening and carbon fiber strengthening etc. to carry out reasonable and effective reinforcement design for Mei Jiang Bridge. Then a finite element model is established by MIDAS/Civil program to analyze and verify the reinforcement effect. Analysis results and practices show that the reinforce method is effective and the strengthening design could be provided as references for the similar bridges.