arXiv:2511.03351cs.IR2025-11被引 1

用语义网技术增强事件对象数据的表达与互操作性

A Semantic Encoding of Object Centric Event Data

  • 基于语义网技术构建可机器读取的事件对象数据模型
  • 通过本体关系提升过程数据推理与信息关联能力
  • 适合需要跨系统数据融合的工业流程研究者

对象中心事件数据(OCED)是一种新型元模型,旨在为以事件和对象为中心的过程数据记录提供统一基础。其目标之一是促进互操作性和过程信息交换。在此背景下,来自不同提供方的数据整合、多流程组合以及知识推理增强成为新挑战。语义网技术可通过本体驱动的关系和实体分类,实现富含语义的OCED描述。本文提出一种基于语义网技术的方案,用于实现语义增强的OCED,旨在强化过程数据推理能力、连接异构信息源并提升表达力。

原文摘要 · Abstract (English)

The Object-Centric Event Data (OCED) is a novel meta-model aimed at providing a common ground for process data records centered around events and objects. One of its objectives is to foster interoperability and process information exchange. In this context, the integration of data from different providers, the combination of multiple processes, and the enhancement of knowledge inference are novel challenges. Semantic Web technologies can enable the creation of a machine-readable OCED description enriched through ontology-based relationships and entity categorization. In this paper, we introduce an approach built upon Semantic Web technologies for the realization of semantic-enhanced OCED, with the aim to strengthen process data reasoning, interconnect information sources, and boost expressiveness.

语义网数据建模流程分析

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