EDIA Blog 09月25日
内容聚合公司的基础:元数据聚合
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现代内容聚合公司建立在三个支柱之上:模块化内容创建与摄入、权利许可和内容分发平台。这些支柱都围绕着模块化的核心理念,即对内容进行精细的标签化。元数据聚合是这些支柱的共同基础,它要求对每个内容组件进行细致的标签生成和存储。自动化标签的重要性不可忽视,没有它,公司无法参与现代内容聚合工作。未来准备就绪的公司应拥抱自动化标签,这是必要的创新。接下来的几周将重点介绍内容元数据,这是一个独立的领域。

📌元数据聚合是现代内容聚合公司的共同基础,它要求对每个内容组件进行细致的标签生成和存储,确保内容可以被精细地分类和管理。

⚙️自动化标签是必不可少的创新,没有它,公司无法参与现代内容聚合工作。自动化标签能够高效地处理大量数据,保证内容聚合的效率和准确性。

🔍内容元数据是一个独立的领域,它涉及对内容进行详细的描述和分类,以便更好地组织和检索信息。接下来的几周将重点介绍内容元数据的不同类型和应用。

Today's modern content aggregation companies are built on the same three pillars: modular content creation and ingestion, rights clearance, and a platform for content distribution. In our past few blog posts, we have discussed these pillars, showing how they fit into the overarching picture. But what about the foundation they rest on? Let's have a closer look at the common denominator: metadata aggregation.

The common denominator

Each pillar has its own parameters, but they're all centred around the idea of modularity: it's crucial to label content at a granular level. So, modularity is the common denominator. What this means is that data should be handled minutely as well.

Old-fashioned libraries may simply use one label to indicate a book's genre, but modern content aggregation companies have to dig a lot deeper. Every single content component requires its own label, so labels should be generated and stored meticulously. Those who try to do this manually will go mad in no time. The truth is, it's an unfeasible task.

Solid foundation required

The foundation the three pillars rest on is automated labelling, whose importance should not be underestimated: without it, companies won't be able to participate in modern content aggregation efforts. To keep up with market developments, they simply can't do without well-organised metadata at the most granular level. Each company that wants to be ready for the future should embrace automated labelling. Simply put, it's a necessary innovation.

Of course, there are several types of labels and metadata. They're used at various levels, including rights, user data, and content. In the following weeks, we'll be focusing on the latter — content metadata — which is a field in its own right.

Want to know more about the different types of labels and metadata? Keep an eye on our next blog posts.

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内容聚合 元数据聚合 自动化标签 内容管理 现代内容聚合
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