NLP to RDF: a Step towards Web 4.0
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The document discusses using natural language processing (NLP) to convert documents and data into the Resource Description Framework (RDF) format to enable machines to better understand unstructured information on the web. It notes that while machines can currently understand structured data through technologies developed for Web 3.0, they still struggle with unstructured content like images, videos, songs, and natural language texts. The document introduces NLP to RDF as a potential step towards Web 4.0, where machines can gain a deeper understanding of documents and answer questions about their contents by converting them into structured RDF representations.
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NLP to RDF: a Step towards Web 4.0
- 1. NLP to RDF: a Step towards Web 4.0
- 2. Web 4.0 Web Documents and data, all formats Machines Web contains documents and data that are understood by machines
- 3. Machines understand documents and data? A machine understands documents and data, when: • If we ask questions related to the content of those documents and data, the machine is able to answer them. • The machine is also able to do inference with respect to that content.
- 4. Thanks to Web 3.0 • Machines already understand data. • Technologies:
- 5. But, what about documents? • Can machines understand an image? • Can machines understand a video? • Can machines understand a song? • Can machines understand a text, or more precisely, a Natural Language text?
- 6. An Ocean of Natural Language Texts