Based on Common Tag specification and various APIs around, there are certainly a lot of easy next steps towards interfacing more efficiently the free tagging and linked data universe. For example it should not be too difficult to build an interface allowing the mapping of Twitter hashtags to DBpedia URIs, based on both Twitter and Zemanta APIs. Faviki could open this path.
2009-06-30
2009-06-10
Everything is a thing, everyone is many
So I'm now on Twitter, following a couple a people, hoping some interesting bits and pieces will float around to my shore. And well, some have. For example this interesting piece on Multiple Personas. What Silona writes there on the essential multiplicity of a person can certainly also apply to things and representations. We know more or less from inside our multiplicity and ambiguity, and the importance of keeping multiple personas revolve around our fundamental and essential emptiness. But we've lost most of the time the capacity to look at things the same way. As Jean Rousselot put it, we are not simple enough any more to "enter things as things can enter things"
We should look at the necessary convergence of the social and semantic web(s) with this paradigm of multiple personas in mind.
Il faudrait pouvoir entrer sans frémirThe poets are the ones able to enter things, experience their mutiplicity, and show how they appear to us as multiple personas.
Dans les choses
Comme les choses
Entrent dans les choses.
We should look at the necessary convergence of the social and semantic web(s) with this paradigm of multiple personas in mind.
2009-06-09
sameas.org
sameas.org is quite an implementation of hubjects for the linked data universe. It relies still a bit too much on owl:sameAs, but I begin to believe that owl:sameAs eventual semantics will be the one applications make of it. Only reasoners in closed universes will apply owl:sameAs for what it is in the standard (strict identity). Open Web and linked data cloud will use it as "follow-your-nose" hubs to switch from one representation to another and aggregate information.
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