Ontology Alignment for Query Answering (OA4QA)
收藏arXiv2025-09-30 收录
下载链接：
http://oaei.ontologymatching.org/2022/conference/index.html
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资源简介：
该数据集包含7个填充了内容的本体，描述了一系列相互重叠的会议场所信息，包括人员的角色、提交论文的类型等。数据集大约包含817个实例，分属17个类别，并在21对本体对之间大约有259个类别对齐。此外，该数据集经过修改，旨在理解智能体之间的查询对齐，从而允许进行反映智能体间不同且不完整知识合作的实验。规模上，这7个本体平均每个包含约817个实例。任务方面，数据集适用于协作查询解答。
This dataset contains seven populated ontologies that describe a set of overlapping conference venue information, including personnel roles, types of submitted papers, and other related details. The dataset comprises approximately 817 instances categorized into 17 classes, with roughly 259 class alignments across 21 pairs of ontologies. Furthermore, this dataset has been modified to support research on query alignment between AI Agents, enabling experiments that reflect collaborative scenarios involving disparate and incomplete knowledge among agents. In terms of scale, each of these seven ontologies contains approximately 817 instances on average. This dataset is applicable to collaborative query answering tasks.
提供机构：
Ontology Alignment Evaluation Initiative
