Capabilities

Let's sketch out some useful capabilities that an Ontiki implementation might have.

Warning: both alligators, ponies, and unicorns lurk ahead!

Add user content to the graph.

Users could add content (e.g., edges, nodes, properties) to the Ontiki's underlying graph. WP's history shows us that massive collaboration is possible, but that it presents tricky challenges (e.g., citations, disputes, provenance). So, we'll simply have to see what we can do...

Define and use topical patterns.

Advanced users could define graph patterns and ontological views which are commonly found around certain kinds of topics. Once these patterns are defined, other users could apply them (manually or with mechanized assistance) to specific cases.

Expand a set of relevant topics.

Given a set of relevant topics, Ontiki could suggest other topics (e.g., neighbors) which might be relevant. In an iterative process, the user could accept or reject suggestions, adjust Ontiki's filtering and weighting criteria, etc. Over time, the user could develop a much larger set of relevant topics.

Investigate topic relationships.

Using an interactive (e.g., Circos) diagram, the user could view (and investigate) how topics are related. For example, by mousing over a particular topic, the user could limit the view to directly related neighbors (as in this nifty demo).

Maintain research notebook(s).

Ontiki could help users (either individually or collectively) to maintain research notebooks. These could include annotated and indexed information (e.g., notes, status) on topics, links, etc.

Provide ontological context.

YAGO (or better yet, YAGO-SUMO) could provide ontological context for topics, sets of topics, etc.

The YAGO-SUMO integration incorporates millions of entities from YAGO, which is based on Wikipedia and WordNet, into the Suggested Upper Merged Ontology (SUMO), a highly axiomatized formal upper ontology. With the combined force of the two ontologies, an enormous, unprecedented corpus of formalized world knowledge is available for automated processing and reasoning, providing information about millions of entities such as people, cities, organizations, and companies.

-- YAGO-SUMO


This wiki page is maintained by Rich Morin, an independent consultant specializing in software design, development, and documentation. Please feel free to email comments, inquiries, suggestions, etc!

Topic revision: r12 - 30 Nov 2014, RichMorin
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