All we do at Moomat is based on the idea of semantics, the study of meaning. We believe that if we treat words as more than just a series of letters, but as a representation of something larger, we can give them more power and greater context. Applying this idea, we can turn any dataset into an intricate web of interconnected content, making more data more easily accessible and discoverable. Why should old content mean less discoverable content? Why does content have a shelf life?