Venue: IJCAR 2014, hosted by the Vienna Summer of Logic, Vienna, Austria
Date: workshop canceled
Automated reasoning (AR) systems have been advancing in their capabilities, allowing them to operate on increasingly larger and more complex theories. At the same time extensive digital sources of knowledge are becoming available, ranging from formal ontologies over databases and dictionaries to natural language references. Online sources like Wikipedia, mathematical libraries like Mizar, IMDb and various search engines and web services have gained widespread acceptance among the general population, but the sheer quantity of data can be an obstacle for human users. To make such knowledge more accessible there is a growing interest to employ the deductive power of AR systems. Not only does this provide challenges to researchers in the field of automated deduction, but it is also a chance to bring the results into the public, and to see a large-scale practical usage of AR.
In this workshop we aim to compile different approaches to the problems inherent in dealing with large knowledge sources automatically, and to further the connections between researchers working on such projects.
We are interested in submissions regarding the following topics, or any other topics pertaining to knowledge intensive automated reasoning:
KInAR accepts submissions via EasyChair. Submissions may have up to 15 pages in the EasyChair LaTeX style.
The submissions will be reviewed by the program committee. The selected submissions will be published as part of the FLoC workshop proceedings.
Note that at least one author of each accepted submission is expected to register for KInAR and present their work.