Abstract
Building task-oriented dialogue systems for solving specific tasks within companies represents a challenging research objective especially when the specific expertise of the company is not yet machine-readable formalized. Aiming to collect the specific knowledge in a company-scope knowledge graph, we design the architecture of a dialog system integrating the natural language processing modules with the specific concepts described in the domain ontology and the com- pany’s graph of instances. The described system helps growing the knowledge graph with the specific company data, while also providing the NLP building blocks for a future dialog system specifically tuned for the requirements of the target company processes.
Paper Type
Full Paper
DOI
10.62036/ISD.2023.46
Ontology-Based Dialogue System for Domain-Specific Knowledge Acquisition
Building task-oriented dialogue systems for solving specific tasks within companies represents a challenging research objective especially when the specific expertise of the company is not yet machine-readable formalized. Aiming to collect the specific knowledge in a company-scope knowledge graph, we design the architecture of a dialog system integrating the natural language processing modules with the specific concepts described in the domain ontology and the com- pany’s graph of instances. The described system helps growing the knowledge graph with the specific company data, while also providing the NLP building blocks for a future dialog system specifically tuned for the requirements of the target company processes.
Recommended Citation
Iga, V.I. & Silaghi, G.C. (2023). Ontology-Based Dialogue System for Domain-Specific Knowledge Acquisition. In A. R. da Silva, M. M. da Silva, J. Estima, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development, Organizational Aspects and Societal Trends (ISD2023 Proceedings). Lisbon, Portugal: Instituto Superior Técnico. ISBN: 978-989-33-5509-1. https://doi.org/10.62036/ISD.2023.46