Knowledge Graph Multi-Hop Question Answering Based on Dependent Syntactic Semantic Augmented Graph Networks

Abstract

In the rapidly evolving domain of question answering systems, the ability to integrate machine comprehension with relational reasoning stands paramount. This paper introduces a novel architecture, the Dependent Syntactic Semantic Augmented Graph Network (DSSAGN), designed to address the intricate challenges of multi-hop question answering. By ingeniously leveraging the synergy between syntactic structures and semantic relationships within knowledge graphs, DSSAGN offers a breakthrough in interpretability, scalability, and accuracy. Unlike previous models that either fall short in handling complex relational paths or lack transparency in reasoning, our framework excels by embedding a sophisticated mechanism that meticulously models multi-hop relations and dynamically prioritizes the syntactic–semantic context.

Research on Driving Scenario Knowledge Graphs

“…In this structure, entities are interconnected through relationships, forming a networked knowledge system. Compared to traditional text and tabular representations, knowledge graphs, with their intuitive and efficient characteristics, can clearly display entity attributes and their connections, thereby enabling tasks such as intelligent search, question reasoning, and recommendations [9][10][11]. Furthermore, knowledge graphs often utilize a resource description framework (RDF) and web ontology language (OWL) to represent and define the structure of the data, thereby enhancing interoperability and reasoning capabilities by facilitating data exchange and specifying concepts, relationships, and constraints within a domain.…”

“…a ributes and their connections, thereby enabling tasks such as intelligent search, question reasoning, and recommendations [9][10][11]. Furthermore, knowledge graphs often utilize a resource description framework (RDF) and web ontology language (OWL) to represent and define the structure of the data, thereby enhancing interoperability and reasoning capabilities by facilitating data exchange and specifying concepts, relationships, and constraints within a domain.…”