Abstract
Wikis allow for collaborators to collect information about entities.
In turn, such entity information can be used for AI tasks, such as
information extraction. However, these collaborators are almost
exclusively human users. Allowing arbitrary software agents to act as
collaborators can greatly enrich a wiki since agents can contribute
structured data to complement the human-contributed,
unstructured-data. For instance, agents can import huge volumes of
structured data about entities, enriching the pages, and agents can
update wiki pages to reflect real-time information changes (e.g.,
win-loss records in sports). This paper describes an approach that
allows for both arbitrary software agents and human users to
collaborate. In particular, we address three key problems: agents
updating the correct wiki pages, policies for agent updates, and
sharing the schema across collaborators. Using our approach, we
describe creating entity-focused wikis which include the ability to
create dynamic categories of entities based on their wiki pages.
These categories dynamically update their membership based upon
real-world changes.