PUBLIC MARKS with search define

As updates and content flow in real time around the Web, conversations around the content are becoming increasingly fragmented into individual silos. Salmon aims to define a standard protocol for comments and annotations to swim upstream to original update sources -- and spawn more commentary in a virtuous cycle. It's open, decentralized, abuse resistant, and user centric.

remoteobjects are real subclassable Python objects on which you can build a rich API library. remoteobjects provides easy coding and transfer between Python objects and a JSON REST API. You can define the resources in a RESTful API as `RemoteObject` classes and their properties. These objects then support using the basic HTTP verbs to request and submit data to the API.

We were able to come up with rules that make using prefixes in almost any context simpler. Note, these are for the most part AUTHORING guidelines, not requirements when reading:

1. Reusing the same prefix in the same document with different meanings is horribly confusing (”If you did that, I’d break your figures.”). Possible to figure out, but not really desirable. Seems like a reasonable place for a warning.

2. Defining all the prefixes in one place makes it simpler to keep track of them. But understood when it would be simpler to define a new prefix for a section of content.

3. “Couldn’t you have a simple tool that just shows you what prefixes are defined at any point in the document?” How such a tool has failed to exist in the XML world… may write this.

remoteobjects are real subclassable Python objects on which you can build a rich API library. remoteobjects provides easy coding and transfer between Python objects and a JSON REST API. You can define the resources in a RESTful API as RemoteObject classes and their properties. These objects then support using the basic HTTP verbs to request and submit data to the API.

command line parsing done right

Finaloption is a command line parser, intended to make writing command line applications easy and painless. It uses built-in Python types (lists, dictionaries, etc) to define options, which makes configuration clear and concise. Additionally it contains possibility to handle subcommands (i.e. hg commit or svn update).

The geonames ontology is merged with SKOS (Simple Knowledge Organisation Systems). SKOS facilitates the building of thesauri, taxonomies and controlled vocabularies in a simpler way than OWL. This characteristic is used by geonames ontology to define a geographical feature types taxonomy.