In recent years, different cultural institutions have made efforts to spread culture through the construction of a unique search interface that integrates their digital objects and facilitates data retrieval for lay users. However, integrating cultural data is not a trivial task; therefore, this work performs a systematic literature review on data aggregation workflows, in order to answer five questions: What are the projects? What are the planned steps? Which technologies are used? Are the steps performed manually, automatically, or semi-automatically? Which perform semantic search? The searches were carried out in three databases: Networked Digital Library of Theses and Dissertations, Scopus and Web of Science. In Q01, 12 projects were selected. In Q02, 9 stages were identified: Harvesting, Ingestion, Mapping, Indexing, Storing, Monitoring, Enriching, Displaying, and Publishing LOD. In Q03, 19 different technologies were found it. In Q04, we identified that most of the solutions are semi-automatic and, in Q05, that most of them perform a semantic search. The analysis of the workflows allowed us to identify that there is no consensus regarding the stages, their nomenclatures, and technologies, besides presenting superficial discussions. But it allowed to identify the main steps for the implementation of the aggregation of cultural data.

中文翻译：

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在网络上聚合文化遗产数据的工作流模型：系统文献综述

近年来，不同的文化机构通过构建独特的搜索界面来传播文化，该界面整合了他们的数字对象并方便了非专业用户的数据检索。然而，整合文化数据并非易事。因此，这项工作对数据聚合工作流程进行了系统的文献综述，以回答五个问题：项目是什么？计划的步骤是什么？使用了哪些技术？这些步骤是手动、自动还是半自动执行的？哪个执行语义搜索？搜索是在三个数据库中进行的：论文和论文的网络数字图书馆、Scopus 和科学网。一季度，12个项目入选。在 Q02，确定了 9 个阶段：收集、摄取、映射、索引、存储、监控、丰富、显示和发布 LOD。在 Q03 中，发现了 19 种不同的技术。在 Q04，我们发现大多数解决方案是半自动的，并且在 Q05，大多数解决方案执行语义搜索。对工作流程的分析使我们能够确定，除了提出肤浅的讨论之外，还没有就阶段、它们的命名和技术达成共识。但它允许确定实施文化数据聚合的主要步骤。除了提出肤浅的讨论。但它允许确定实施文化数据聚合的主要步骤。除了提出肤浅的讨论。但它允许确定实施文化数据聚合的主要步骤。