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Chatting with Public Data: A Practical Application of Artificial Intelligence
Open data portals are an invaluable source of public information. However, extracting meaningful insights from this data can be challenging for users without advanced technical knowledge. In this practical exercise, we will explore the development of...
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Practical guide for improving the quality of open data
When publishing open data, it is essential to ensure its quality. If data is well documented and of the required quality, it will be easier to reuse, as there will be less additional work for cleaning and processing. In addition, poor data quality can be...
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DCAT-AP and its extensions: Context and evolution
One of the main challenges that arise when addressing an Open Data initiative is to define the information architecture and facilitate interoperability between data catalogs published by different portals on the Web. In order to solve this challenge, the...
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Word Embeddings - Practical Exercise on Tag Processing
Open data portals play a fundamental role in accessing and reusing public information. A key aspect in these environments is the tagging of datasets, which facilitates their organization and retrieval. Word embeddings represent a transformative...
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Tourism in Spain: Analyzing National Tourist Flows Using Interactive Visualizations
1. Introduction Visualizations are graphical representations of data that allow for the simple and effective communication of information linked to them. The possibilities for visualization are very broad, from basic representations such as line...
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How to use OGC APIs to enhance geospatial data interoperability
In a world where geospatial information is crucial to address global challenges such as climate change and natural resource management, interoperability and the creation of standards are essential. Interoperability facilitates collaboration between...
