关键词: 领域本体, 红枣, 知识图谱, 智能服务, 知识问答

Abstract:

To address the current issues in the red jujube domain, including fragmented knowledge systems, delayed updates, insufficient personalization of knowledge services, and low service quality and efficiency, and to meet the practical needs for efficient organization and intelligent services of red jujube domain knowledge, in this paper, we carried out a study about ontology-based intelligent knowledge service, which was associated with relevant aspects, for the red jujube industry. Firstly, a fundamental framework for jujube domain knowledge services was established through systematic analysis of the knowledge service processes in the jujube industry, and based on domain ontology and knowledge graphs, the intelligent service mechanism and patterns for the jujube domain were studied by exploring knowledge organization approaches about the jujube industry. Secondly, the structured, semi-structured and unstructured multi-source heterogeneous corpus information in terms of the cultivation and management of the jujube industry and its related domains was systematically integrated and processed (e.g., semantic preprocessing), and then, the multi-dimensional, standardized domain knowledge and ontology bases for the jujube industry were constructed, and further, the domain knowledge graph for the jujube industry, which showed good merits such as favorable completeness, well fault-tolerant and disambiguation capabilities, and strong relational reasoning competence, was built by using a BERT-BiLSTM-CRF hybrid model. Hence, to satisfy the requirements of intelligent question-and-answering (Q&A) services for the jujube domain, an intelligent Q&A system, based on the domain ontology and knowledge graph and keeping to the collaborative optimization principle of domain knowledge services, was designed while employing a hybrid processing framework with domain-specific models and (locally deployable) large language models (LLMs)‌, and moreover, the improvement approaches for evaluation of knowledge intelligence services were discussed to ensure the provision of high-quality, reliable, and satisfactory services to users and/or systems. As for all the above, the paper would provide significant practical references for enhancing the practicality and applicability of intelligent services in the jujube domain, promoting the digital and intelligent transformation and upgrading of the jujube industry, and thus further exploring their feasible technical pathways.

Key words: domain ontology, red jujube, knowledge graph, intelligent service, knowledge Q&A