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| Artikel-Nr.: 5667A-9783384259882 Herst.-Nr.: 9783384259882 EAN/GTIN: 9783384259882 |
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![](/p.gif) | The title "Beyond Likes and Shares: The Semantic Web Revolution" challenges the current state of the web, dominated by social media engagement metrics. It hints at a more profound transformation on the horizon. The first part, "Beyond Likes and Shares," criticizes the shallow engagement prevalent on social media platforms. Information is often fleeting and disconnected, focused on virality rather than depth. The second part, "The Semantic Web Revolution," introduces a potential solution. The Semantic Web represents a fundamental shift in how information is structured and understood online. It goes beyond simply connecting webpages; it aims to connect the meaning behind the information. Imagine a web where "cat" isn't just a word in a post, but a concept linked to other concepts like "feline," "pet," or "mammal." This allows machines to grasp the true essence of information and its relationships. The title emphasizes the revolutionary nature of this shift. Search engines equipped with semantic understanding can deliver more relevant and insightful results. Additionally, the Semantic Web unlocks possibilities for intelligent applications, fostering a richer online experience. "Beyond Likes and Shares" is a call to action. It urges us to move beyond the limitations of the current web and embrace the potential of the Semantic Web. This revolution promises a web that is not just a platform for social interaction, but a powerful tool for understanding, learning, and connecting on a deeper level. Weitere Informationen: ![](/p.gif) | ![](/p.gif) | Author: | Nimra | Verlag: | tredition | Sprache: | eng |
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![](/p.gif) | Weitere Suchbegriffe: Netzwerkbücher, Netzwerkbücher - englischsprachig, datenbanken (fachbücher), linked data; knowledge representation; Machine Learning; Artificial intelligence (AI); Information Retrieval; Web of Data; Metadata; Ontology; interoperability, Semantic Web, Linked Data, Knowledge representation, Machine learning, Artificial intelligence (AI), Information retrieval, Web of Data, Metadata, Ontology, Interoperability |
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