We present Web-STAR, an online platform for story understanding built on top of the STAR reasoning engine for STory comprehension through ARgumentation. The platform includes a web-based IDE, integration with the STAR system, and a web service infrastructure to support integration with other systems that rely on story understanding functionality to complete their tasks. The platform also delivers a number of "social" features, including a community repository for public story sharing with a built-in commenting system, and tools for collaborative story editing that can be used for team development projects and for educational purposes.
Existing ASP languages lack support for conveniently specifying objects, their sorts and the sorts of the parameters of relations in an application domain. However, such support may allow a programmer to better structure the program, to automatically determine some syntax and semantic errors and to avoid thinking about safety of ASP rules -- non-declarative conditions on rules required by existing ASP systems. In this paper, we define the syntax and semantics of a knowledge representation language @math which offers explicit constructs to specify objects, relations, and their sorts. The language expands CR-Prolog -- an extension of ASP by consistency restoring rules. We introduce an implementation of @math based on its translation to DLV with weak constraints. A syntax checking algorithm helps to avoid errors related to misspellings as well as simple type errors. Another type checking algorithm flags program rules which, due to type conflicts, have no ground instantiations.