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Knowledge Graphs: The Real Game Changer … but Hard to Build and Maintain
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I still remember the first time someone said “Semantic Web” to me in early 2000s. I was young enough to believe that if something sounded academic, it must be the future, and old enough to already feel that weird itch of skepticism that creeps in after a few production outages. Then came the word “ontology” and, I swear, my brain filed it under “rare tropical disease” for a while. Not because I’m proud of my ignorance, but because the whole thing felt like a promise wrapped in vocabulary: If we just describe everything precisely enough, computers will finally understand what we mean.
Yeah. Good luck with that.
Back then, the Semantic Web story came with a kind of quiet certainty: RDF, triples, reasoning, shared vocabularies across the internet, machines chatting politely about meaning while humans drink coffee and watch it all unfold. I struggled. Not with the idea of meaning, but with the gap between the idea and reality. It felt like one of those “perfect hypothetical vs messy reality” moments that only become obvious after you’ve burned a few months on something that looked brilliant on slides.
