Complex Query in Process Knowledge Graph Based on Box Embedding

Abstract

To make use of past practical experience and expertise effectively and accurately, and reduce the waste of resources due to repetitive labor, this paper conducts intricate multi-hop logical deduction by using the information obtained from the process knowledge graph (PKG). Here, BoxE is introduced in this context, which is a box embedding framework designed to address diverse First-Order Logic queries (FOL) across Process Knowledge Graphs (PKG). A key insight of BoxE is that entities and queries can be embedded as boxes and geometric operations can be used iteratively for logical reasoning to answer the complex logical queries. Our demonstration showcases BoxE’s ability to effectively respond to various First-Order Logic queries involving technology, process, procedure, etc. on PKG and shows that BoxE has higher accuracy on each query structure, which can generalize unseen query structures and answer complex query structures scalably and accurately.