[annotation][2b2k] Paolo Ciccarese on the Domeo annotation platform
Current Berkman People and Projects 2013-03-28
Paolo Ciccarese begins by reminding us just how vast the scientific literature is. We can’t possibly read everything we should. But “science is social” so we rely on each other, and build on each other’s work. “Everything we do now is connected.”
NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness. Over-emphasizing small matters. Paraphrasing badly. Not running a spellpchecker. Mangling other people’s ideas and words. You are warned, people.
Today’s media do provide links, but not enough. Things are so deeply linked. “How do we keep track of it?” How do we communicate with others so that when they read the same paper they get a little bit of our mental model, and see why we found the article interesting?
Paolo’s project — Domeo [twitter:DomeoTool] — is a web app for “producing, browsing, and sharing manual and semi-automatic (structure and unstructured) annotations, using open standards. Domeo shows you an article and lets you annotate fragments. You can attach a tag or an unstructured comment. The tag can be defined by the user or by a defined ontology. Domeo doesn’t care which ontologies you use, which means you could use it for annotating recipes as well as science articles.
Domeo also enables discussions; it has a threaded msg facility. You can also run text mining and entity recognition systems (Calais, etc.) that automatically annotates the work with those words, which helps with search, understanding, and curation. This too can be a social process. Domeo lets you keep the annotation private or share it with colleagues, groups, communities, or the Web. Also, Domeo can be extended. In one example, it produces information about experiments that can be put into a database where it can be searched and linked up with other experiments and articles. Another example: “hypothesis management” lets readers add metadata to pick out the assertions and the evidence. (It uses RDF) You can visualize the network of knowledge.
It supports open APIs for integrating with other systems., including into the Neuroscience Information Framework and Drupal. “Domeo is a platform.” It aims at supporting rich source, and will add the ability to follow authors and topics, etc., and enabling mashups.