One of the biggest impediments to the adoption of technology is the cost burden typically associated with doing the right thing. For instance, requirements for making the Linked Data Web (GGG) buzz would include the following (paraphrasing TimBL's original Linked Data meme):

    -- identifying the things you observe, or stumble upon, using URIs (aka EntityIDs)
    -- construct URIs using HTTPso that the Web provides a channel for referencing things elsewhere (remote object referencing)
    -- Expose things in your DataSpace(s) that are potentially useful to other Web users via URIs
    -- Link to other Web accessible things using their URIs.

The list is nice, but actual execution can be challenging. For instance, when writing a blog post, or constructing a WikiWord, would you have enough disposable time to go searching for these URIs? Or would you compromise and continue to inject "Literal" values into the Web, leaving it to the reasoning endowed human reader to connect the dots?

Anyway, OpenLink Data Spaces is now equipped with a Glossary system that allows me to manage terms, meaning of terms, and hyper-linking of phrases and words matching associated with my terms. The great thing about all of this is that everything I do is scoped to my Data Space (my universe of discourse), I don't break or impede the other meanings of these terms outside my Data Space. The Glossary system can be shared with anyone I choose to share it with, and even better, it makes my upstreaming (rules based replication) style of blogging even more productive :-)

Remember, on the Linked Data Web, who you know doesn't matter as much as what your are connected to, directly or indirectly. Jason Kolb covers this issue in his post: People as Data Connectors, and so doesFrederick Giasson via a recent post titled: Networks are everywhere. For instance, this blog post (or the entire Blog) is a bona fide RDF Linked Data Source, you can use it as the Data Source of a SPARQL Query to find things that aren't even mentioned in this post, since all you are doing is beaming a query through my Data Space (a container of Linked Data Graphs). On that note, let's re-watch Jon Udell's "On-Demand-Blogosphere" screencast from 2006 :-)